29-January-2026
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Your AI-Powered Gateway to Premium, Compliant, and Decision-Ready Data — Anywhere in the World
Data Marketplace
In a world where data is the new competitive currency, access to the right datasets at the right time defines winners. Hir Infotech is a globally trusted AI-driven data marketplace solutions provider with 13+ years of hands-on experience delivering structured, compliant, and analytics-ready data to 2,745+ clients across the USA, Europe, and Australia. From enterprise data acquisition to real-time B2B intelligence feeds, we help CTOs, CDOs, Product Leaders, and Data Teams unlock scalable data access — faster, smarter, and fully governed. When precision matters, businesses trust Hir Infotech.
13+
Years of Expertise
2,745+
Happy Clients
52+
Countries Reached
500M+
Datasets Delivered
98.5%+
Accuracy Rate
Why a Data Marketplace Is the Strategic Infrastructure Every Enterprise Needs in 2026
The global data marketplace is no longer a luxury — it is the core operating layer of modern enterprise intelligence. Businesses across the USA, UK, Germany, France, the Netherlands, Sweden, Switzerland, and Australia are increasingly relying on structured, governed, and AI-enriched data marketplace platforms to power smarter decisions, accelerate go-to-market strategies, sharpen competitive intelligence, and reduce time-to-insight from weeks to hours. For B2B organisations navigating fragmented data sources, regulatory complexity, and growing demand for real-time analytics, a robust data marketplace strategy is the difference between reacting to market shifts and anticipating them. At Hir Infotech, our AI-driven data marketplace solutions give enterprises on-demand access to curated, verified, and delivery-ready datasets — built around your industry, your geography, and your growth objectives. With 13+ years of experience and 2,745+ satisfied enterprise clients, we engineer data pipelines and marketplace integrations that are scalable, compliant, and immediately actionable across your analytics, CRM, and BI stack.
Core Data Marketplace Services We Deliver:
- AI-Curated B2B Dataset Sourcing: We identify, extract, and structure datasets from 1,000+ vetted public and proprietary sources across 52 countries, delivering firmographic, technographic, intent, contact, and behavioral data tailored to your ICP and market segment — ready for immediate ingestion.
- Real-Time Data Feed & API Integration: Our streaming data pipelines and RESTful APIs deliver live marketplace data directly into your CRM, ERP, data warehouse, or BI platform — eliminating manual data handling and ensuring your teams always operate on the freshest intelligence available.
- Compliant Data Marketplace Build & Deployment: We architect internal and external data marketplaces fully aligned with GDPR (Europe), CCPA (USA), and Australia’s Privacy Act — complete with role-based access controls, data lineage tracking, consent management, and audit-ready governance frameworks.
- Custom Data Product Engineering: From raw data acquisition to structured data products with metadata, quality scores, and delivery schedules, we build publishable, monetisable data assets that your data producers can list and your data consumers can discover, preview, and deploy with confidence.
Our global delivery capability spans the USA, UK, Germany, France, Italy, Spain, Denmark, Netherlands, Iceland, Austria, Sweden, Switzerland, and Australia — making Hir Infotech the partner of choice for enterprises requiring true cross-border data intelligence at scale.
AI-Powered Data Capabilities
Hir Infotech combines enterprise-grade AI with 13+ years of data engineering expertise to deliver fast, accurate, and compliance-ready data marketplace solutions for B2B businesses at every scale.
Intelligent Data Cataloguing
We deploy AI-driven metadata tagging, auto-classification, and smart search indexing across every dataset in your marketplace — enabling data consumers to discover, evaluate, and access the right data in seconds, not days.
Governance, Compliance & Data Quality Layer
Every dataset published through our marketplace undergoes automated validation, duplicate elimination, bias detection, and compliance screening for GDPR, CCPA, and local data protection regulations — ensuring every data product is trustworthy, legal, and enterprise-ready.
Automated Pipeline & Delivery Engine
Our ETL and ELT data pipeline infrastructure automates the entire flow from source extraction to marketplace delivery — supporting scheduled batch delivery, real-time streaming, webhook triggers, and API-first data access for enterprise platforms.
AI-Driven Enrichment & Augmentation
We use machine learning models to enrich raw datasets with missing firmographic fields, geo-coordinates, industry classifications, intent scores, and predictive attributes — transforming incomplete datasets into high-value, analytics-grade data products ready for immediate deployment.
Trusted by leading brands
Enterprise Data Marketplace Use Cases: Where Our Solutions Deliver Maximum ROI
Unlocking Real-Time Market Intelligence Through Governed Data Access
How AI-Powered Data Marketplace Solutions Are Transforming B2B Competitive Intelligence in 2026
The ability to access fresh, structured, and compliant data at the moment of decision has become a defining competitive advantage for enterprise B2B teams. Modern AI-powered data marketplaces go far beyond simple data repositories — they function as living intelligence ecosystems where data producers publish, data consumers subscribe, and AI models continuously validate, enrich, and route data to the systems that need it most. At Hir Infotech, we have spent over 13 years building the methodologies, infrastructure, and domain expertise that allow enterprise teams across the USA, Europe, and Australia to source the exact datasets they need — whether that is firmographic enrichment for CRM, alternative data feeds for investment analysis, competitor pricing intelligence for e-commerce, or intent signal datasets for ABM targeting. Our AI-driven data marketplace architecture eliminates the delays, compliance risks, and data quality failures that plague manual sourcing and generic data vendor relationships. Every dataset we engineer is verified, governance-tagged, and delivered in your preferred format — CSV, JSON, API, or direct warehouse integration. The result is a data supply chain your business can actually rely on, at the speed modern enterprise demands.
Why Enterprise Data Leaders Choose Hir Infotech as Their Data Marketplace Partner
Enterprise data leaders — CDOs, Data Architects, VP of Analytics — face a consistent challenge: hundreds of data requests, fragmented sources, inconsistent quality, compliance exposure, and no unified discovery layer for internal or external data assets. Hir Infotech solves this at the root. We design, build, and operationalise custom data marketplace platforms that create a single, governed environment where data producers and data consumers across your organisation can interact with data as a product — discoverable, trusted, and ready to use. Our implementation methodology combines data product design, metadata cataloguing, access control architecture, and AI-powered quality scoring to deliver a marketplace your teams will actually adopt and your compliance teams will actually approve. For mid-market and enterprise companies across Germany, the Netherlands, Sweden, Switzerland, France, Italy, Spain, Denmark, Iceland, Austria, the UK, USA, and Australia, Hir Infotech delivers end-to-end data marketplace projects with measurable outcomes: reduced data request backlogs, faster analytics cycles, demonstrable compliance posture improvements, and direct contribution to revenue through better-qualified pipeline data. With 2,745+ clients served and a track record across 30+ industries, we bring the depth of experience your data marketplace initiative deserves.
Industry We Serve
Real-World Success: Case Studies
Client Background
A Series C SaaS company headquartered in Austin, Texas, providing revenue operations software to mid-market B2B companies. The company had an aggressive outbound sales team of 45 reps targeting Director-to-C-Suite buyers in the financial services and technology verticals.
Challenge
The client’s CRM contained 180,000+ accounts, but nearly 40% of contact records were outdated or inaccurate. Their existing data vendor delivered static quarterly refreshes, creating significant lag between market changes and sales team awareness. Intent signals were purchased separately from a different provider with no unified delivery mechanism. The data team was spending 20+ hours per week manually reconciling and cleaning data before it could be used for campaigns.
Solution
Hir Infotech deployed a real-time B2B data marketplace integration connecting our verified contact database, live technographic feeds, and third-party intent signal datasets directly into the client’s Salesforce CRM and HubSpot marketing platform via API. We built an automated enrichment pipeline that refreshed account records daily, flagged job change signals in real time, and delivered intent-scored lead lists to campaign queues each morning without manual intervention. Our AI deduplication layer eliminated 67,000 duplicate or irrelevant records and improved ICP match rates across the database.
Results
- 94% CRM data accuracy achieved within 60 days of deployment
- Sales team prospecting time reduced by 34%
- Pipeline generated from outbound sequences increased by 28% within one quarter
- Marketing campaign open rates improved from 18% to 31% through better segmentation
- Data team manual reconciliation time reduced from 20+ hours to under 2 hours per week
Client Testimonial
“Hir Infotech didn’t just sell us data — they built us a data supply chain. Our reps now start every morning with verified, intent-scored accounts waiting in their queue. The ROI was evident within the first quarter.”
— VP of Revenue Operations, SaaS Platform, Austin TX
Client Background
A London-based investment management firm with £4.2B AUM managing a diversified portfolio of equities, private credit, and infrastructure assets across European and North American markets. The firm’s research team of 18 analysts was tasked with integrating alternative data into their investment thesis process.
Challenge
The firm needed a consistent, compliant, and structured feed of alternative datasets — including corporate ESG disclosures, news sentiment, supply chain risk signals, and executive leadership movement data — from across 3,000+ portfolio-relevant companies. Existing Bloomberg and Refinitiv data subscriptions did not cover the alternative signal layer the team needed, and manual web research was neither scalable nor structured enough for quantitative analysis.
Solution
Hir Infotech designed a custom alternative data marketplace solution, sourcing, structuring, and delivering four distinct data products: (1) a daily ESG news and disclosure dataset tagged by company, category, and sentiment score; (2) an executive leadership movement tracker updated weekly from regulatory filings, press releases, and LinkedIn; (3) a supply chain disruption signal feed built from logistics and port authority data; and (4) a structured earnings call transcript sentiment dataset. All datasets were delivered via a private API endpoint integrated with the firm’s Python-based quantitative research environment and stored in a governed AWS S3 data lake with full lineage documentation.
Results
- Research team coverage extended from 400 to 3,000+ companies without headcount increase
- ESG monitoring time per analyst reduced by 60%
- Three investment theses directly informed by supply chain disruption signals in Year 1
- Compliance team approved all data products following GDPR and FCA data governance review
- Quantitative model accuracy improved by 19% across backtested portfolios using enriched alternative signals
Client Testimonial
“The structured data marketplace Hir Infotech built for us gave our analysts a research edge we couldn’t have achieved any other way. The quality, consistency, and compliance of every dataset was exemplary.”
— Head of Data & Analytics, Investment Management Firm, London
Client Background
A Frankfurt-based multichannel retailer operating across Germany, Austria, Switzerland, France, and the Netherlands with 85,000+ active SKUs across consumer electronics, home goods, and apparel categories. Their e-commerce division generated €620M in annual revenue and faced intensifying price competition from Amazon.de and local marketplace operators.
Challenge
The pricing team needed daily competitor price data across 85,000 SKUs from 40+ competitor websites and marketplaces. Existing manual spot-checking covered fewer than 5% of their catalog and arrived with a 3–5 day lag. Their technology team had attempted to build an in-house scraper but encountered frequent blockage, CAPTCHA handling failures, and inconsistent data structure across different regional platforms.
Solution
Hir Infotech deployed an AI-powered competitive pricing data marketplace solution using a distributed, rotating proxy scraping infrastructure with intelligent anti-bot evasion, automatic CAPTCHA resolution, and schema normalisation across 40 competitor sources. A structured data product was delivered daily at 6:00 AM CET — a clean, normalised CSV and API feed containing competitor SKU-level prices, availability status, promotional pricing flags, and seller ratings across Amazon.de, Otto.de, MediaMarkt, Fnac, Bol.com, and 35 additional regional platforms. The entire pipeline was engineered for GDPR compliance with data provenance logging and automated deletion schedules.
Results
- Pricing team coverage expanded from 5% to 100% of catalog daily
- Dynamic repricing decisions enabled by fresh, daily competitor intelligence
- Identified 12,400 SKUs where the client was overpriced by >8% versus key competitors
- Gross margin improvement of 3.2% within two quarters following repricing strategy adjustment
- €1.8M in additional revenue attributed to competitively repositioned pricing in Year 1
Client Testimonial
“We went from knowing almost nothing about competitor pricing to having a complete market picture every morning before our teams arrive at work. Hir Infotech delivered exactly what they promised, on time, every day.”
— Head of E-Commerce Pricing, Multinational Retailer, Frankfurt
Client Background
A Sydney-based PropTech startup building an AI-powered property investment recommendation platform for high-net-worth individuals and family offices across Australia and New Zealand. The platform aimed to cover 100% of residential and commercial listings across 8 Australian states and territories.
Challenge
The team needed comprehensive, clean, and regularly refreshed property listing data, sales history, rental yield information, zoning classifications, and suburb-level demographic data from Realestate.com.au, Domain.com.au, CoreLogic, and state land registry databases. Direct API access to these platforms was either unavailable, cost-prohibitive, or too limited in scope for their full analytical requirements.
Solution
Hir Infotech built a dedicated real estate data marketplace pipeline that aggregated listing data, historical sales records, estimated rental yields, walk score data, school catchment information, and infrastructure proximity scores from 14 separate sources. Data was delivered to the client’s PostgreSQL data warehouse via daily ETL processes, with automated data quality scoring on every record. A secondary enrichment layer added suburb-level census demographic attributes, flood risk ratings, and council zoning classifications — creating a unified, analytics-ready property intelligence dataset covering 2.1M+ Australian properties.
Results
- Full national property coverage achieved across 8 states and territories
- Time to data refresh reduced from 2 weeks (manual) to 24 hours (automated)
- Platform launched 4 months ahead of original schedule due to accelerated data readiness
- AI recommendation engine accuracy improved by 41% using enriched property attributes
- Secured Series A funding of AUD $6M with data infrastructure cited as a key due diligence strength
Client Testimonial
“Hir Infotech gave us the data foundation we needed to build a genuinely differentiated product. Their team understood both our technical requirements and our business model — a rare combination.”
— Co-Founder & CTO, PropTech Platform, Sydney
Client Background
A mid-sized pharmaceutical company based in New Jersey with R&D operations spanning the USA and Germany, developing therapies across oncology, metabolic disorders, and neurology. Their market access and competitive intelligence team of 12 professionals supported launch strategy for three pipeline assets.
Challenge
The team needed structured, continuously updated datasets on competitive drug approval timelines, clinical trial status changes, prescriber activity patterns, payer formulary positioning, and conference publication signals — all from multiple disparate public and semi-public sources including ClinicalTrials.gov, FDA approval databases, EMA registries, and medical conference proceedings. No single data provider offered a unified, structured feed covering all these signals.
Solution
Hir Infotech architected a pharmaceutical competitive intelligence data marketplace with five distinct structured data products: (1) a weekly clinical trial status dataset for 200+ competitive compounds; (2) a real-time FDA and EMA approval alert feed; (3) a quarterly prescriber trend dataset by drug class and geography; (4) a payer formulary change tracker updated monthly; and (5) a medical conference abstract and publication monitoring dataset. All data products were delivered in structured JSON and Excel formats, stored in a HIPAA-compliant environment, and integrated into the client’s Veeva Vault CRM and Microsoft Power BI dashboards.
Results
- Competitive intelligence cycle time reduced from 3 weeks to 72 hours per report
- Team capacity freed to focus on analysis rather than data gathering (estimated 60% time saving)
- Identified 3 competitive threats 4–6 months earlier than industry standard monitoring services
- FDA approval monitoring flagged a competitor’s accelerated approval 11 days before industry press coverage
- Directly supported successful payer negotiation strategy for two pipeline assets entering launch phase
Client Testimonial
“In pharma, being early to a competitive signal can change a launch strategy entirely. Hir Infotech built us a data marketplace that gives us that early-warning advantage consistently.”
— Director of Competitive Intelligence, Pharmaceutical Enterprise, New Jersey
Client Background
An Amsterdam-based e-commerce marketplace operator with 18,000+ active third-party sellers across the Netherlands, Belgium, and Germany. The company’s data team needed structured seller performance data, product catalog enrichment, and cross-platform benchmarking data to power their seller support, algorithm optimisation, and commercial development functions.
Challenge
The client’s internal data was rich in transactional signals but lacked external benchmarking context — they could not assess seller performance relative to market norms, identify product category gaps versus competitors, or enrich thin product listings with standardised attributes and imagery metadata. Third-party enrichment vendors provided only partial coverage with low accuracy on Dutch and German product catalogs.
Solution
Hir Infotech deployed a multi-source product and seller intelligence data marketplace, delivering three structured data products: (1) a competitor product catalog enrichment dataset covering Bol.com, Amazon.de, and Zalando with normalised attributes, EAN matches, and pricing; (2) a seller reputation and review dataset across 6 regional marketplace platforms updated weekly; and (3) a category-level demand signal dataset combining search trend data and cross-platform sales velocity estimates. Delivery was via API with Delta-refresh architecture, updating only changed records to minimise data processing overhead.
Results
- Product catalog completeness improved from 61% to 94% across 1.2M listings
- Seller onboarding conversion improved by 22% following introduction of enriched competitive benchmark data in seller pitch decks
- Category expansion decisions guided by demand signal data resulted in 3 new high-growth category launches
- Platform search relevance algorithm accuracy improved by 18% using enriched product attribute data
- Annual data acquisition cost reduced by 34% versus previous multi-vendor arrangement
Client Testimonial
“Hir Infotech consolidated what used to be five separate data vendor relationships into one clean, governed, and far more accurate data supply. The cost saving alone justified the engagement — the quality improvement was the real win.”
— Head of Data Products, E-Commerce Marketplace, Amsterdam
Client Background
A Stockholm-based FinTech lending platform offering working capital finance to SMEs across Sweden, Denmark, and Finland. The risk and credit team used alternative data signals to supplement traditional credit bureau data for underwriting decisions on businesses with limited credit history.
Challenge
The credit team needed real-time, structured alternative data feeds covering business registration changes, director disqualification events, VAT filing signals, e-commerce trading activity, and social proof indicators — all from Nordic public registries and digital sources. No single vendor offered structured, normalised delivery of this data across three Nordic jurisdictions with the frequency required for real-time underwriting decisions.
Solution
Hir Infotech built a Nordic SME credit intelligence data marketplace, delivering five structured real-time data feeds: (1) live business registration and director change events from Bolagsverket, CVR, and PRH; (2) VAT and accounts filing status updates; (3) e-commerce trading activity signals scraped from marketplace seller profiles; (4) business review and trust signal aggregations from Trustpilot, Google Business, and local Nordic review platforms; and (5) social media activity and sentiment signals for SME clients. All feeds were delivered via webhook to the client’s underwriting platform with under 4-hour latency from source event to delivery.
Results
- Credit decision time for new SME applicants reduced from 48 hours to under 6 hours
- Default rate on alternative data-informed decisions 23% lower than bureau-only historical baseline
- Approved application volume increased by 31% as previously unscored SMEs could now be reliably assessed
- Regulatory review by Swedish Finansinspektionen confirmed compliance of all data sourcing and usage practices
- Platform expanded to Finland 3 months ahead of schedule on the strength of data infrastructure readiness
Client Testimonial
“The quality and speed of the data marketplace Hir Infotech built for our credit team genuinely transformed our underwriting capability. We can now say yes to businesses that the traditional system would have turned away — and do it confidently.”
— Chief Risk Officer, FinTech Lending Platform, Stockholm
Real-World Success: Case Studies
Client Background
A Series C SaaS company headquartered in Austin, Texas, providing revenue operations software to mid-market B2B companies. The company had an aggressive outbound sales team of 45 reps targeting Director-to-C-Suite buyers in the financial services and technology verticals.
Challenge
The client’s CRM contained 180,000+ accounts, but nearly 40% of contact records were outdated or inaccurate. Their existing data vendor delivered static quarterly refreshes, creating significant lag between market changes and sales team awareness. Intent signals were purchased separately from a different provider with no unified delivery mechanism. The data team was spending 20+ hours per week manually reconciling and cleaning data before it could be used for campaigns.
Solution
Hir Infotech deployed a real-time B2B data marketplace integration connecting our verified contact database, live technographic feeds, and third-party intent signal datasets directly into the client’s Salesforce CRM and HubSpot marketing platform via API. We built an automated enrichment pipeline that refreshed account records daily, flagged job change signals in real time, and delivered intent-scored lead lists to campaign queues each morning without manual intervention. Our AI deduplication layer eliminated 67,000 duplicate or irrelevant records and improved ICP match rates across the database.
Results
- 94% CRM data accuracy achieved within 60 days of deployment
- Sales team prospecting time reduced by 34%
- Pipeline generated from outbound sequences increased by 28% within one quarter
- Marketing campaign open rates improved from 18% to 31% through better segmentation
- Data team manual reconciliation time reduced from 20+ hours to under 2 hours per week
Client Testimonial
“Hir Infotech didn’t just sell us data — they built us a data supply chain. Our reps now start every morning with verified, intent-scored accounts waiting in their queue. The ROI was evident within the first quarter.”
— VP of Revenue Operations, SaaS Platform, Austin TX
Client Background
A London-based investment management firm with £4.2B AUM managing a diversified portfolio of equities, private credit, and infrastructure assets across European and North American markets. The firm’s research team of 18 analysts was tasked with integrating alternative data into their investment thesis process.
Challenge
The firm needed a consistent, compliant, and structured feed of alternative datasets — including corporate ESG disclosures, news sentiment, supply chain risk signals, and executive leadership movement data — from across 3,000+ portfolio-relevant companies. Existing Bloomberg and Refinitiv data subscriptions did not cover the alternative signal layer the team needed, and manual web research was neither scalable nor structured enough for quantitative analysis.
Solution
Hir Infotech designed a custom alternative data marketplace solution, sourcing, structuring, and delivering four distinct data products: (1) a daily ESG news and disclosure dataset tagged by company, category, and sentiment score; (2) an executive leadership movement tracker updated weekly from regulatory filings, press releases, and LinkedIn; (3) a supply chain disruption signal feed built from logistics and port authority data; and (4) a structured earnings call transcript sentiment dataset. All datasets were delivered via a private API endpoint integrated with the firm’s Python-based quantitative research environment and stored in a governed AWS S3 data lake with full lineage documentation.
Results
- Research team coverage extended from 400 to 3,000+ companies without headcount increase
- ESG monitoring time per analyst reduced by 60%
- Three investment theses directly informed by supply chain disruption signals in Year 1
- Compliance team approved all data products following GDPR and FCA data governance review
- Quantitative model accuracy improved by 19% across backtested portfolios using enriched alternative signals
Client Testimonial
“The structured data marketplace Hir Infotech built for us gave our analysts a research edge we couldn’t have achieved any other way. The quality, consistency, and compliance of every dataset was exemplary.”
— Head of Data & Analytics, Investment Management Firm, London
Client Background
A Frankfurt-based multichannel retailer operating across Germany, Austria, Switzerland, France, and the Netherlands with 85,000+ active SKUs across consumer electronics, home goods, and apparel categories. Their e-commerce division generated €620M in annual revenue and faced intensifying price competition from Amazon.de and local marketplace operators.
Challenge
The pricing team needed daily competitor price data across 85,000 SKUs from 40+ competitor websites and marketplaces. Existing manual spot-checking covered fewer than 5% of their catalog and arrived with a 3–5 day lag. Their technology team had attempted to build an in-house scraper but encountered frequent blockage, CAPTCHA handling failures, and inconsistent data structure across different regional platforms.
Solution
Hir Infotech deployed an AI-powered competitive pricing data marketplace solution using a distributed, rotating proxy scraping infrastructure with intelligent anti-bot evasion, automatic CAPTCHA resolution, and schema normalisation across 40 competitor sources. A structured data product was delivered daily at 6:00 AM CET — a clean, normalised CSV and API feed containing competitor SKU-level prices, availability status, promotional pricing flags, and seller ratings across Amazon.de, Otto.de, MediaMarkt, Fnac, Bol.com, and 35 additional regional platforms. The entire pipeline was engineered for GDPR compliance with data provenance logging and automated deletion schedules.
Results
- Pricing team coverage expanded from 5% to 100% of catalog daily
- Dynamic repricing decisions enabled by fresh, daily competitor intelligence
- Identified 12,400 SKUs where the client was overpriced by >8% versus key competitors
- Gross margin improvement of 3.2% within two quarters following repricing strategy adjustment
- €1.8M in additional revenue attributed to competitively repositioned pricing in Year 1
Client Testimonial
“We went from knowing almost nothing about competitor pricing to having a complete market picture every morning before our teams arrive at work. Hir Infotech delivered exactly what they promised, on time, every day.”
— Head of E-Commerce Pricing, Multinational Retailer, Frankfurt
Client Background
A Sydney-based PropTech startup building an AI-powered property investment recommendation platform for high-net-worth individuals and family offices across Australia and New Zealand. The platform aimed to cover 100% of residential and commercial listings across 8 Australian states and territories.
Challenge
The team needed comprehensive, clean, and regularly refreshed property listing data, sales history, rental yield information, zoning classifications, and suburb-level demographic data from Realestate.com.au, Domain.com.au, CoreLogic, and state land registry databases. Direct API access to these platforms was either unavailable, cost-prohibitive, or too limited in scope for their full analytical requirements.
Solution
Hir Infotech built a dedicated real estate data marketplace pipeline that aggregated listing data, historical sales records, estimated rental yields, walk score data, school catchment information, and infrastructure proximity scores from 14 separate sources. Data was delivered to the client’s PostgreSQL data warehouse via daily ETL processes, with automated data quality scoring on every record. A secondary enrichment layer added suburb-level census demographic attributes, flood risk ratings, and council zoning classifications — creating a unified, analytics-ready property intelligence dataset covering 2.1M+ Australian properties.
Results
- Full national property coverage achieved across 8 states and territories
- Time to data refresh reduced from 2 weeks (manual) to 24 hours (automated)
- Platform launched 4 months ahead of original schedule due to accelerated data readiness
- AI recommendation engine accuracy improved by 41% using enriched property attributes
- Secured Series A funding of AUD $6M with data infrastructure cited as a key due diligence strength
Client Testimonial
“Hir Infotech gave us the data foundation we needed to build a genuinely differentiated product. Their team understood both our technical requirements and our business model — a rare combination.”
— Co-Founder & CTO, PropTech Platform, Sydney
Client Background
A mid-sized pharmaceutical company based in New Jersey with R&D operations spanning the USA and Germany, developing therapies across oncology, metabolic disorders, and neurology. Their market access and competitive intelligence team of 12 professionals supported launch strategy for three pipeline assets.
Challenge
The team needed structured, continuously updated datasets on competitive drug approval timelines, clinical trial status changes, prescriber activity patterns, payer formulary positioning, and conference publication signals — all from multiple disparate public and semi-public sources including ClinicalTrials.gov, FDA approval databases, EMA registries, and medical conference proceedings. No single data provider offered a unified, structured feed covering all these signals.
Solution
Hir Infotech architected a pharmaceutical competitive intelligence data marketplace with five distinct structured data products: (1) a weekly clinical trial status dataset for 200+ competitive compounds; (2) a real-time FDA and EMA approval alert feed; (3) a quarterly prescriber trend dataset by drug class and geography; (4) a payer formulary change tracker updated monthly; and (5) a medical conference abstract and publication monitoring dataset. All data products were delivered in structured JSON and Excel formats, stored in a HIPAA-compliant environment, and integrated into the client’s Veeva Vault CRM and Microsoft Power BI dashboards.
Results
- Competitive intelligence cycle time reduced from 3 weeks to 72 hours per report
- Team capacity freed to focus on analysis rather than data gathering (estimated 60% time saving)
- Identified 3 competitive threats 4–6 months earlier than industry standard monitoring services
- FDA approval monitoring flagged a competitor’s accelerated approval 11 days before industry press coverage
- Directly supported successful payer negotiation strategy for two pipeline assets entering launch phase
Client Testimonial
“In pharma, being early to a competitive signal can change a launch strategy entirely. Hir Infotech built us a data marketplace that gives us that early-warning advantage consistently.”
— Director of Competitive Intelligence, Pharmaceutical Enterprise, New Jersey
Client Background
An Amsterdam-based e-commerce marketplace operator with 18,000+ active third-party sellers across the Netherlands, Belgium, and Germany. The company’s data team needed structured seller performance data, product catalog enrichment, and cross-platform benchmarking data to power their seller support, algorithm optimisation, and commercial development functions.
Challenge
The client’s internal data was rich in transactional signals but lacked external benchmarking context — they could not assess seller performance relative to market norms, identify product category gaps versus competitors, or enrich thin product listings with standardised attributes and imagery metadata. Third-party enrichment vendors provided only partial coverage with low accuracy on Dutch and German product catalogs.
Solution
Hir Infotech deployed a multi-source product and seller intelligence data marketplace, delivering three structured data products: (1) a competitor product catalog enrichment dataset covering Bol.com, Amazon.de, and Zalando with normalised attributes, EAN matches, and pricing; (2) a seller reputation and review dataset across 6 regional marketplace platforms updated weekly; and (3) a category-level demand signal dataset combining search trend data and cross-platform sales velocity estimates. Delivery was via API with Delta-refresh architecture, updating only changed records to minimise data processing overhead.
Results
- Product catalog completeness improved from 61% to 94% across 1.2M listings
- Seller onboarding conversion improved by 22% following introduction of enriched competitive benchmark data in seller pitch decks
- Category expansion decisions guided by demand signal data resulted in 3 new high-growth category launches
- Platform search relevance algorithm accuracy improved by 18% using enriched product attribute data
- Annual data acquisition cost reduced by 34% versus previous multi-vendor arrangement
Client Testimonial
“Hir Infotech consolidated what used to be five separate data vendor relationships into one clean, governed, and far more accurate data supply. The cost saving alone justified the engagement — the quality improvement was the real win.”
— Head of Data Products, E-Commerce Marketplace, Amsterdam
Client Background
A Stockholm-based FinTech lending platform offering working capital finance to SMEs across Sweden, Denmark, and Finland. The risk and credit team used alternative data signals to supplement traditional credit bureau data for underwriting decisions on businesses with limited credit history.
Challenge
The credit team needed real-time, structured alternative data feeds covering business registration changes, director disqualification events, VAT filing signals, e-commerce trading activity, and social proof indicators — all from Nordic public registries and digital sources. No single vendor offered structured, normalised delivery of this data across three Nordic jurisdictions with the frequency required for real-time underwriting decisions.
Solution
Hir Infotech built a Nordic SME credit intelligence data marketplace, delivering five structured real-time data feeds: (1) live business registration and director change events from Bolagsverket, CVR, and PRH; (2) VAT and accounts filing status updates; (3) e-commerce trading activity signals scraped from marketplace seller profiles; (4) business review and trust signal aggregations from Trustpilot, Google Business, and local Nordic review platforms; and (5) social media activity and sentiment signals for SME clients. All feeds were delivered via webhook to the client’s underwriting platform with under 4-hour latency from source event to delivery.
Results
- Credit decision time for new SME applicants reduced from 48 hours to under 6 hours
- Default rate on alternative data-informed decisions 23% lower than bureau-only historical baseline
- Approved application volume increased by 31% as previously unscored SMEs could now be reliably assessed
- Regulatory review by Swedish Finansinspektionen confirmed compliance of all data sourcing and usage practices
- Platform expanded to Finland 3 months ahead of schedule on the strength of data infrastructure readiness
Client Testimonial
“The quality and speed of the data marketplace Hir Infotech built for our credit team genuinely transformed our underwriting capability. We can now say yes to businesses that the traditional system would have turned away — and do it confidently.”
— Chief Risk Officer, FinTech Lending Platform, Stockholm
Working with Hir Infotech
Data you can trust
Rely on Hir Infotech for 95%+ accurate data, meticulously verified to fuel your B2B success. Our global scraping solutions deliver trusted insights for confident decision-making worldwide.
Decades of experience
With 12+ years of expertise, Hir Infotech has served 2745+ clients globally. Our proven scraping solutions drive B2B success across the USA, Europe, and Australia.
Legal peace of mind
Rely on Hir Infotech for 95%+ accurate data, meticulously verified to fuel your B2B success. Our global scraping solutions deliver trusted insights for confident decision-making worldwide.
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Stop waiting weeks for datasets that arrive outdated, incomplete, or non-compliant. Hir Infotech’s AI-driven data marketplace solutions give your enterprise immediate access to structured, validated, and governance-ready data — delivered directly into your CRM, warehouse, or analytics platform.
Trusted by 2,745+ businesses across the USA, Europe, and Australia. Backed by 13+ years of hands-on data engineering expertise across 30+ industries. Available across 52+ countries worldwide.
No commitment required. Receive a complimentary data sample tailored to your industry, geography, and use case — within 48 hours.
Unlock Business Growth with Data MarketPlace Solutions
Benefits of Hir Infotech's Data Marketplace Solutions for Enterprise B2B Businesses
Flexible Pricing Models
Project-Based (Flat Fee) Pricing
A one-time fee is charged for a specific project, regardless of volume or duration, based on scope and complexity.
Hourly or Time-Based Pricing
Billed based on the time spent developing, running, or maintaining the scraper, often used for custom or consulting-heavy projects.
Pay-As-You-Go
Charged based on actual usage, such as per request, per GB of bandwidth, or per page scraped, with no fixed commitment.
Subscription-Based Pricing
pay a recurring fee (monthly or annually) for access to scraping services, often tiered based on usage limits like the number of requests, pages scraped, or data points extracted.
Hir Infotech’s Web Scraping Methodology
1
Understanding Your Goals
We begin by collaborating with you to define your data needs—be it for a one-time project, recurring insights, or custom solutions. Whether you opt for Pay-As-You-Go flexibility, a Project-Based Flat Fee, Hourly expertise, or a Subscription plan, we align our approach to your objectives.
2
Target Identification & Planning
Our team identifies the websites and data sources critical to your project. We analyze site structures, assess complexity (e.g., static vs. dynamic content), and plan the most efficient scraping strategy, ensuring compliance with public data access norms.
3
Advanced Data Extraction
Using cutting-edge tools and custom-built scrapers, we extract data at scale. We tackle challenges like JavaScript-rendered pages or anti-scraping measures with techniques such as:
- Rotating proxies to avoid blocks.
- Headless browsers (e.g., Selenium) for dynamic content.
- Optimized request pacing to mimic human behavior.
4
Data Processing & Quality Control
Raw data is parsed, cleaned, and structured into formats like CSV, JSON, or Excel. We remove duplicates, correct errors, and validate accuracy to ensure you receive reliable, ready-to-use datasets.
5
Delivery Tailored to You
Depending on your pricing model, we deliver results how and when you need them:
- Pay-As-You-Go: On-demand data for ad-hoc use.
- Project-Based: Complete datasets for one-off projects.
- Hourly: Iterative updates during custom development.
- Subscription: Regular, automated feeds for ongoing insights.
6
Ongoing Support & Optimization
We monitor site changes, adapt scrapers as needed, and provide support to keep your data flowing seamlessly. Subscription clients enjoy continuous updates, while Hourly clients benefit from hands-on refinements.
Let's build something great together.
Contact us for top-tier talent and exceptional results.
We’ve been working with Hir Infotech for our data scraping needs, and they have exceeded our expectations. The data they provide us is always accurate, timely and helps us make more informed decisions. The team at Hir Infotech is always responsive, and we appreciate their high level of expertise.
The data scraping services provided by Hir Infotech have been instrumental in helping us stay ahead of the competition. We now have access to real-time pricing and product data, allowing us to adjust our strategy and remain competitive.
we are incredibly grateful for the partnership we’ve developed with Hir Infotech. Their data scraping services have helped us improve our marketing strategies and drive growth for our clients. We highly recommend their services to any advertising & marketing company looking to gain a competitive edge.
Frequently Asked Questions
What exactly is a data marketplace, and how is it different from a standard data vendor relationship?
A data marketplace is a governed platform or ecosystem where structured data products are published, discoverable, and accessible by data consumers — either internally across business units or externally between organisations. Unlike a standard data vendor relationship where you receive a one-size-fits-all database dump, a data marketplace model allows consumers to discover specific datasets, preview quality and coverage before acquisition, subscribe to refresh schedules, and integrate data directly into their platforms via API. Hir Infotech builds and supplies both: we power internal enterprise data marketplaces and provide organisations with curated, AI-enriched external data products delivered through a governed marketplace infrastructure.
How does Hir Infotech ensure data marketplace compliance with GDPR in Europe and CCPA in the USA?
Compliance is engineered into every stage of our data marketplace delivery process — not added as an afterthought. For GDPR-governed datasets serving our European clients in Germany, France, the Netherlands, Sweden, Spain, Italy, Denmark, Iceland, Austria, and Switzerland, every data product includes documented data provenance, lawful processing basis, data minimisation practices, and automated retention and deletion schedules. For CCPA-compliant datasets serving US enterprise clients, we maintain opt-out registries, consumer request workflows, and transparent data sourcing records. All our data engineers are trained in both frameworks, and we provide compliance documentation packages for every engagement to support our clients’ own regulatory obligations.
What types of data products does Hir Infotech supply through its data marketplace solutions?
We supply a comprehensive range of structured B2B data products including: firmographic company datasets (size, revenue, industry, headcount, geography); technographic profiles (software stack, cloud infrastructure, CRM tools); B2B contact and decision-maker data (verified emails, direct dials, LinkedIn profiles, job titles); intent and behavioural signals (research activity, content engagement, solution-search patterns); competitive intelligence datasets (pricing, product catalog, market positioning); alternative financial data (ESG signals, transaction trends, earnings sentiment); real estate and property datasets; government and public open data; and custom-built datasets engineered to your unique specification across any industry or geography.
How quickly can Hir Infotech set up a data marketplace solution for our business?
For standard data product deliveries — such as a B2B contact database, competitive pricing feed, or firmographic enrichment dataset — our typical delivery timeline is 5–10 business days from scope confirmation. For more complex engagements — such as a custom internal data marketplace platform build, multi-source aggregation pipeline, or real-time streaming integration — project timelines range from 3 to 12 weeks depending on data source complexity, integration requirements, and compliance review scope. We provide a detailed project timeline and milestone schedule during our initial scoping consultation, and our delivery track record across 2,745+ client engagements means we consistently meet those commitments.
Can your data marketplace solutions integrate directly with our existing CRM, data warehouse, or BI platform?
Yes — seamless integration is a core design principle of every data marketplace solution we build. Our standard delivery integrations include Salesforce, HubSpot, Microsoft Dynamics 365, Marketo, Pardot, Snowflake, Google BigQuery, AWS Redshift, Azure Synapse, Databricks, Tableau, Microsoft Power BI, Looker, and custom data warehouses via RESTful API, SFTP batch transfer, direct database connector, or webhook push. For clients on proprietary platforms, our engineering team can build custom integration connectors. We also support Delta-refresh architecture to minimise data processing load — delivering only new or changed records on each update cycle rather than full dataset re-delivery.
How do you ensure the accuracy and freshness of data products in your marketplace?
Our data quality framework operates at three levels. First, at source — our AI-powered crawlers and extraction infrastructure validate data against schema rules, flag anomalies, and discard records that fail quality thresholds at the point of extraction. Second, at processing — our machine learning deduplication, entity resolution, and enrichment models validate and cross-reference each record against multiple sources before it enters the delivery pipeline. Third, at delivery — every dataset we publish includes a quality score report documenting completeness rates, field-level accuracy benchmarks, freshness timestamps, and anomaly counts. We guarantee 98.5%+ data accuracy on all standard data products, with contractual SLAs available for enterprise engagements.
What industries do you serve with data marketplace solutions?
Our data marketplace expertise spans 30+ industry verticals including: financial services and FinTech, retail and e-commerce, real estate and PropTech, pharmaceutical and life sciences, manufacturing and industrial, logistics and supply chain, technology and SaaS, media and publishing, professional services, healthcare, education, energy and utilities, automotive, telecommunications, and travel and hospitality. We have active data marketplace engagements across the USA, UK, Germany, France, Netherlands, Sweden, Switzerland, Italy, Spain, Denmark, Iceland, Austria, and Australia — giving us genuine multi-market experience across both regulatory environments and industry-specific data source ecosystems.
How is Hir Infotech different from generic data brokers or off-the-shelf data marketplace platforms?
Three fundamental differences define Hir Infotech’s positioning: Specificity — we build data products around your exact ICP, geography, and use case rather than selling generic database access. Intelligence — every dataset we deliver is AI-enriched, validated, and quality-scored rather than raw extracted data with unknown provenance. Governance — we design compliance and data governance into every engagement rather than leaving your team to manage it after the fact. With 13+ years of experience, 2,745+ clients served, and dedicated domain expertise across 30+ verticals, we bring a depth of industry knowledge and engineering capability that no generic data broker or self-service SaaS marketplace can replicate for complex enterprise requirements.
Can Hir Infotech build us a custom internal data marketplace for our enterprise?
Absolutely. Internal enterprise data marketplaces — sometimes called data product portals or data mesh implementations — are a growing area of our practice. We architect and deploy governed internal data marketplaces where your data producers (business units, data engineering teams) can publish structured data products with metadata, quality scores, and access controls, and your data consumers (analytics teams, operations, marketing) can discover, preview, and self-serve approved datasets without raising manual data requests. Our implementations include catalogue UI, role-based access management, data lineage tracking, API gateway, and integration with cloud storage layers (AWS S3, Azure Blob, GCS). We have delivered internal data marketplace implementations for clients in financial services, retail, and manufacturing across Europe, the USA, and Australia.
What does a typical engagement with Hir Infotech's data marketplace team look like, and what is the ROI?
A typical engagement begins with a 60-minute discovery call where our data architects assess your data requirements, existing infrastructure, compliance obligations, and desired outcomes. We then deliver a scoped proposal within 48 hours covering data source coverage, delivery architecture, quality SLAs, integration approach, and pricing. Delivery begins within the agreed timeline — typically 5–15 business days for standard data products. On ROI: our clients consistently report measurable outcomes within the first quarter, including 25–40% reduction in data acquisition costs versus multi-vendor alternatives, 30–60% reduction in data team manual processing time, 15–30% improvements in campaign and pipeline performance from enriched, accurate data, and direct revenue contribution from faster, better-informed commercial decisions. Every engagement includes a post-delivery review and optimisation cycle to ensure you are extracting maximum value from your data marketplace investment.