Professional Data Services

Client Background: A Series B B2B SaaS company based in Austin, Texas, offering revenue operations software to mid-market manufacturers across the American Midwest. The company had an aggressive expansion target requiring a pipeline of 10,000+ verified manufacturer contacts within 90 days.

Challenge: The client’s in-house data team spent over 200 hours per month manually compiling prospect lists from industry directories, LinkedIn, and trade association websites. The data was inconsistent — missing job titles, outdated phone numbers, and duplicate records were costing the SDR team roughly 35% of their outreach capacity.

Solution: Hir Infotech deployed a custom AI-powered extraction pipeline targeting 14 industry-specific directories, LinkedIn company pages, and manufacturer association portals across the USA. Our workflow included automated data validation, duplicate removal, title standardisation, and CRM mapping to the client’s Salesforce instance — delivered weekly via secure API.

Results: Within 60 days, the client received 12,400 verified professional data records with a 98.3% field completeness rate. SDR team productivity increased by 42% in the first quarter post-implementation. Customer Acquisition Cost (CAC) dropped by 31% within six months. Pipeline volume increased 3.2x compared to the prior quarter.

Client Testimonial: “Hir Infotech didn’t just give us data — they gave us a competitive weapon. The quality and speed of their professional data delivery transformed our outbound engine entirely. We went from data poverty to data abundance almost overnight.” — VP of Revenue Operations, Austin-based SaaS Platform.

Client Background: A London-based commercial real estate analytics company providing market intelligence to institutional property investors, REITs, and asset managers across England, Scotland, and Wales.

Challenge: The client required structured, regularly refreshed data covering commercial property listings, landlord contact details, planning applications, and rental yield benchmarks across 40+ UK cities — a task their manual research team could not sustain at scale.

Solution: Hir Infotech built a multi-source professional data pipeline extracting structured data from UK property portals, Companies House, local council planning portals, and real estate directories. Data was delivered in structured JSON to their analytics platform every 48 hours, with automated change-detection alerts for newly listed or amended properties.

Results: The client reduced their research team’s manual workload by 74%, enabling analysts to focus on value-added interpretation rather than data gathering. Coverage expanded from 40 to 120 UK cities within three months. Their platform’s data freshness improved from weekly to near real-time — a key differentiator in winning institutional client contracts.

Client Testimonial: “The professional data programme Hir Infotech built for us is genuinely enterprise-class. The structured delivery, GDPR-compliant workflows, and remarkable accuracy rate gave our platform a significant edge. I’d recommend them without hesitation to any data-driven real estate business.” — Head of Data Strategy, London Commercial Real Estate Analytics Firm.

Client Background: A Munich-based digital procurement platform connecting hospital procurement managers with medical equipment suppliers across Germany, Austria, and Switzerland — the DACH healthcare market.

Challenge: The client needed a continuously refreshed database of verified medical equipment suppliers, including contact data, product categories, certifications, and regulatory registration details from Handelsregister, BfArM (Germany’s medical device authority), and supplier directories across the DACH region.

Solution: Hir Infotech designed a GDPR-compliant professional data extraction architecture covering German, Austrian, and Swiss data sources in multiple languages. The pipeline included structured field extraction, supplier classification by medical device category, compliance status flags, and automated monthly refresh cycles — all delivered via a secure API endpoint integrated into the client’s procurement platform.

Results: The client’s supplier database grew from 4,200 to 23,000 verified entities within four months. Supplier onboarding time dropped by 58%, accelerating the platform’s time-to-value for hospital clients. The platform secured two major German hospital group contracts directly attributable to the improved supplier coverage.

Client Testimonial: “Hir Infotech understood the regulatory complexity of the German healthcare market from day one. Their GDPR-certified extraction workflows and the depth of their DACH-region coverage were exactly what we needed. The ROI has been exceptional.” — Chief Product Officer, Munich Healthcare Procurement Platform.

Client Background: A Sydney-based fintech company providing credit risk intelligence and business health monitoring services to Australian SME lenders, fintechs, and credit insurers.

Challenge: The client needed real-time business operational signals — company reviews, social mentions, regulatory filing changes, and credit-adjacent data — from Australian business directories, ASIC filings, and financial review platforms to power their credit risk scoring models.

Solution: Hir Infotech developed a multi-source Australian professional data pipeline covering ASIC (Australian Securities and Investments Commission), Yellow Pages Australia, ABN Lookup, Trustpilot Australia, and Google Business Profiles. Data was enriched, normalised, and fed directly into the client’s risk scoring API with sub-24-hour refresh cycles.

Results: The client’s credit risk model accuracy improved by 22% within two scoring cycles. False positive rates on loan approvals fell by 17%, reducing lender exposure. The fintech secured $4.2M AUD in new lender partnerships citing improved data depth as the decisive factor.

Client Testimonial: “The structured professional data infrastructure Hir Infotech delivered gave our risk models a depth we couldn’t achieve internally. Their Australian market coverage, combined with global benchmark data, was a true game-changer for our scoring engine.” — Chief Data Officer, Sydney-based Credit Intelligence Fintech.

Client Background: A Paris-based competitive intelligence SaaS company serving French, Spanish, and Italian e-commerce brands — helping them monitor competitor pricing, product assortment, and promotional strategies in real time.

Challenge: The client needed continuous price monitoring across 200+ European e-commerce domains, with structured data covering SKU-level pricing, promotional discounts, stock availability, and retailer-specific variations — updated every four hours to support their clients’ dynamic pricing engines.

Solution: Hir Infotech deployed a high-frequency AI extraction cluster running continuous scraping cycles across 200+ European retail domains in French, Spanish, and Italian. The pipeline handled JavaScript-heavy pages, geo-targeted pricing variations, and login-walled catalogues — delivering structured product intelligence to the client’s platform via a low-latency REST API.

Results: Data refresh frequency improved from daily to every four hours. The client onboarded 11 new enterprise brand clients within 90 days of deploying Hir Infotech’s data layer. Platform revenue grew 38% year-over-year following the data quality upgrade. Client churn dropped to under 4% annually.

Client Testimonial: “We tried three other data providers before Hir Infotech. None could match the frequency, accuracy, or multi-language coverage we needed for the European market. They’re genuinely in a different league for professional data services at enterprise scale.” — Co-Founder & CTO, Paris-based E-Commerce Intelligence Platform.

Client Background: An Amsterdam-based supply chain analytics firm serving pan-European logistics operators, freight brokers, and 3PL providers — with a focus on carrier intelligence, port data, and supplier risk monitoring across the EU.

Challenge: The client required structured, real-time professional data from European freight carrier directories, port authority sites, trade lane databases, and logistics news portals across Netherlands, Belgium, Germany, Denmark, and Sweden — in multiple languages, at enterprise update frequencies.

Solution: Hir Infotech built a multilingual European logistics professional data pipeline covering carrier directories, Chambers of Commerce registrations, port operational data, and industry news aggregation. Custom entity resolution algorithms linked carrier records across sources, creating unified company profiles enriched with operational and risk signals.

Results: Carrier database coverage expanded from 8,000 to 47,000 European entities. Risk alert lead time improved by 3.5x, giving the client’s platform users early warning on carrier instability. The analytics firm won a major pan-European 3PL as a flagship client, citing the data depth as the primary decision factor.

Client Testimonial: “No other data partner we evaluated understood the complexity of European logistics data — the language diversity, regulatory nuances, and source fragmentation. Hir Infotech solved all of it. The professional data infrastructure they built is the backbone of our platform.” — Director of Data Products, Amsterdam Supply Chain Analytics Firm.

Client Background: A Stockholm-based HR technology company offering talent intelligence and workforce analytics to enterprise HR leaders and executive search firms across the Nordic region — Sweden, Denmark, Norway, Finland, and Iceland.

Challenge: The client needed continuously refreshed structured professional profile data from LinkedIn, XING, job boards, and corporate career pages across five Nordic countries — including job titles, skills, seniority levels, company affiliations, and career movement signals — to power their talent mapping and workforce analytics algorithms.

Solution: Hir Infotech deployed a Nordic-region professional data pipeline covering LinkedIn, XING, Jobindex (Denmark), Finn.no (Norway), and Duunitori (Finland) — extracting structured, anonymised talent signals in full compliance with GDPR and regional data protection frameworks. Data was delivered via monthly dataset refreshes with delta-change tracking.

Results: The client’s talent intelligence database expanded from 180,000 to 1.4 million Nordic professional profiles within six months. Their talent mapping accuracy improved by 34%, resulting in a 28% increase in executive search placement rates for their clients. Platform ARR grew 47% in the 12 months following the Hir Infotech data integration.

Client Testimonial: “The GDPR expertise Hir Infotech brought to Nordic talent data extraction is unmatched. Every dataset arrives structured, anonymised where required, and fully documented for our compliance team. This is what professional data services should look like.” — Head of Data Engineering, Stockholm HR Technology Company.