Data Broker

Client Background:
A B2B SaaS company headquartered in Austin, Texas, providing workflow automation software to mid-market manufacturing and logistics firms across North America. The company employed a 35-person revenue team and was targeting a $50M ARR milestone.

Challenge:
The company’s CRM contained over 120,000 records, but an internal audit revealed that nearly 38% of contact data was outdated — bounced emails, incorrect titles, and obsolete phone numbers. SDRs were spending an average of 3.5 hours per day on manual research and list building, leaving minimal time for actual selling. Their outbound email campaigns had an average deliverability rate of 61% — well below the industry benchmark.

Solution:
Hir Infotech delivered a full CRM enrichment project covering 120,000+ records using our AI-driven data brokerage platform. We appended verified direct-dial phone numbers, updated email addresses, firmographic depth (revenue tier, headcount bands, technology stack), and buyer role classification for each contact. Additionally, we implemented a continuous enrichment API feed connected to their Salesforce instance — ensuring real-time updates as companies hire, expand, or change personnel.

Results:

• Email deliverability improved from 61% to 94% within 60 days

   

• SDR productive selling time increased by 42%

   

• Qualified pipeline generated in Q1 post-deployment increased by 31%

   

• CRM data decay rate reduced from 30%/year to under 8%

   

Client Testimonial:
“Hir Infotech transformed our outbound motion. Our reps stopped drowning in research and started having real conversations with the right people. The data quality is genuinely enterprise-grade.”
— VP of Revenue Operations, B2B SaaS Company, Austin TX

Client Background:
A major omnichannel retailer based in Hamburg, Germany, operating across 14 European markets with both physical and digital storefronts. Their category management team was responsible for pricing strategy across 80,000+ SKUs in consumer electronics and home appliances.

Challenge:
Manual competitor price monitoring was costing the client €200,000 annually in analyst hours, and the process yielded pricing snapshots that were 3–5 days stale by the time they reached decision-makers. In a category where prices shift daily — sometimes hourly — the client was consistently reactive, not proactive.

Solution:
Hir Infotech deployed a custom AI-driven data brokerage pipeline that monitored 18 competitor websites, 4 major European marketplaces, and 3 distributor portals across Germany, France, Netherlands, Spain, and Italy — collecting and normalizing pricing data, promotional flags, and stock status at 4-hour intervals. Data was delivered via API directly into the client’s pricing engine and BI dashboard.

Results:

• Pricing decision latency reduced from 4 days to under 6 hours

   

• Automated repricing coverage expanded to 95% of SKUs

   

• Gross margin improvement of 2.3 percentage points within 6 months

   

• Analyst hours reallocated to strategic pricing initiatives

   

Client Testimonial:
“With Hir Infotech’s data feed, our pricing team went from reactive firefighting to leading the market. The accuracy and freshness of the data is exceptional — and they handled GDPR compliance seamlessly.”
— Head of Category Pricing, Enterprise Retailer, Hamburg

Client Background:
A London-based mid-market private equity firm conducting due diligence on prospective portfolio companies and supplier networks across the UK, Germany, and the Nordic countries.

Challenge:
The firm’s compliance and deal team was manually compiling company data from Companies House, Handelsregister, and multiple EU commercial registries — a process that took 8–12 hours per target entity. With 40–60 active due diligence processes running at any time, the firm needed a scalable, automated solution that could deliver verified, structured company intelligence within hours, not days.

Solution:
Hir Infotech built a custom multi-registry data brokerage pipeline aggregating and normalizing data from UK Companies House, Germany’s Handelsregister, Sweden’s Bolagsverket, Denmark’s CVR, and the Netherlands’ KvK. Structured outputs included directorship records, share ownership, registered addresses, SIC codes, filing histories, and adverse flag monitoring — all delivered as structured JSON via API and integrated into the firm’s deal management platform.

Results:

• Due diligence data compilation time reduced from 10 hours to under 45 minutes per entity

   

• Annual analyst cost saving of £340,000

   

• Deal team capacity increased by 35%, enabling pursuit of higher-volume deal flow

   

• Zero data compliance incidents across all EU jurisdictions

   

Client Testimonial:
“The breadth and accuracy of Hir Infotech’s European registry coverage is unmatched. What used to take our team a full day now happens automatically before our morning briefing.”
— Director of Portfolio Operations, Private Equity Firm, London

Client Background:
A PropTech startup based in Melbourne, Australia, building a commercial real estate analytics platform for institutional investors, REITs, and commercial property managers across the Australian east coast.

Challenge:
The platform required structured, continuously updated property transaction data, ownership records, valuation histories, and zoning information across NSW, VIC, and QLD — but sourcing this from multiple state land title offices and council databases was fragmented, inconsistent, and manual.

Solution:
Hir Infotech engineered a centralized data brokerage layer that aggregated and standardized property intelligence from the NSW Land Registry, Land Use Victoria, Queensland Titles Registry, and CoreLogic Australia. The dataset included transaction histories, current ownership structures, property classifications, and suburb-level price movement indices — refreshed weekly and delivered via structured API.

Results:

• Platform data coverage expanded from 3 state datasets to a unified national feed

   

• Data refresh cycle reduced from monthly to weekly

   

• Customer retention rate improved by 28% due to increased data depth and reliability

   

• Platform secured Series A funding citing data quality as a key investor confidence factor

   

Client Testimonial:
“Hir Infotech gave us the data infrastructure we needed to compete with platforms that have been in market for a decade. Their knowledge of Australian property data sources is genuinely impressive.”
— Co-founder & CTO, PropTech Platform, Melbourne

Client Background:
A Chicago-based healthcare IT company selling EHR integration and patient engagement software to physician group practices and hospital networks across the USA.

Challenge:
The company’s marketing and sales team relied on a purchased contact list of 85,000 healthcare practitioners — but with NPI numbers not matched to current practice affiliations, an estimated 45% of records were functionally unusable. Field reps were calling disconnected numbers and emailing unmonitored inboxes.

Solution:
Hir Infotech delivered a comprehensive HCP data enrichment project leveraging NPI registry data, CMS data feeds, hospital affiliation databases, and professional association directories. Each practitioner record was enriched with current practice address, verified direct contact information, specialty classification, and group practice affiliation — fully mapped to CAN-SPAM and HIPAA-adjacent data handling guidelines.

Results:

• Usable record rate improved from 55% to 93%

   

• Field sales territory coverage increased by 40%

   

• Email campaign open rates rose from 14% to 31%

   

• ROI on data investment recovered within 45 days

   

Client Testimonial:
“We’ve worked with multiple data vendors over the years. Hir Infotech is in a completely different league — the data accuracy for healthcare practitioners is phenomenal, and the compliance documentation gave our legal team full confidence.”
— Director of Marketing Operations, Healthcare IT, Chicago

Client Background:
A B2B marketplace platform headquartered in Amsterdam, Netherlands, connecting industrial suppliers with procurement managers across the Benelux region, Germany, and France.

Challenge:
To grow supplier and buyer acquisition, the platform needed a reliable, GDPR-compliant database of SME industrial companies across 5 EU markets — with verified contact data for procurement and operations decision-makers. No single commercial vendor offered sufficient European coverage at the required depth.

Solution:
Hir Infotech assembled a custom European SME intelligence dataset from 14 sources — including national business registries (KvK, Handelsregister, Registre du Commerce), industry trade directories, and verified B2B professional databases. The output covered 120,000+ companies across the Netherlands, Germany, France, Belgium, and Luxembourg, with enriched contacts including job title, direct email, and LinkedIn profile URLs — GDPR-compliant with documented sourcing for each record.

Results:

• 120,000+ new, verified company records onboarded in 6 weeks

   

• Supplier acquisition CAC reduced by 34%

   

• Outbound email campaign achieved 38% open rate — 2.4x the European average

   

• GDPR audit passed without remediation required

   

Client Testimonial:
“We needed European data at a scale and quality level that the big platforms simply couldn’t deliver for our niche. Hir Infotech delivered beyond our expectations — and the GDPR compliance work was thorough and professionally documented.”
— Head of Growth, B2B Marketplace, Amsterdam

Client Background:
A Parisian boutique market research consultancy specializing in competitive intelligence for clients in the luxury goods, consumer packaged goods (CPG), and retail sectors across Western Europe.

Challenge:
Client deliverables required continuous monitoring of competitor pricing, product launches, executive movement, and press coverage across 30+ brands in the French, German, Italian, and Spanish markets. The consultancy’s team was manually collating data from news feeds, brand websites, and social platforms — an unsustainable process as the client roster expanded.

Solution:
Hir Infotech deployed a bespoke AI-powered data brokerage pipeline that monitored 30 brand websites, 6 news sources per market, LinkedIn executive profiles, and patent/trademark databases across France, Germany, Italy, and Spain. Structured competitive intelligence outputs were delivered as weekly JSON feeds directly into the client’s proprietary dashboard — with entity resolution ensuring accurate brand and executive attribution.

Results:

• Analyst hours on data collection reduced by 65%
• Competitive intelligence report turnaround time cut from 5 days to same-day
• Client satisfaction scores increased to 4.9/5 post-deployment
• Consultancy expanded client capacity by 40% without adding headcount

Client Testimonial:
“Hir Infotech’s data brokerage solution effectively became an invisible analyst on our team — delivering the right data, structured perfectly, before our team arrived in the morning.”
— Managing Director, Market Research Consultancy, Paris