Data Intelligence
Your data pipeline. Built to run without you.
We design, build, and operate data extraction, aggregation, enrichment, and feed infrastructure for US companies that run on data. Not a script you babysit — a maintained, monitored production system.

Why this exists
Most data pipelines are fragile, rented, or stale.
Businesses that run on data usually end up with one of four problems: a brittle script that breaks every time a site changes; a third-party vendor charging per record for data they also sell your competitors; an internal team losing 30% of its time to maintenance; or data that refreshes monthly when the business needs it daily.
InWork builds data systems the way we build software — with monitoring, error handling, retry logic, anti-bot mitigation, and quality checks baked in. Systems that run, report, and self-recover.
How it flows
From raw source to structured intelligence — monitored end to end.
What we build
Four capabilities, one maintained system.
Web Scraping & Aggregation
ExtractionStructured data from any public source — listings, pricing, jobs, reviews, news, government portals, dealer inventories, filings. JavaScript rendering, anti-bot mitigation, change detection, and scale from 500 to 5M pages/day.
Database Enrichment
B2B + B2CTurn thin records into actionable ones: company firmographics, verified emails & direct dials, phone/address validation, property and vehicle data, NPI/DOT/DUNS appends — with per-field confidence scoring and direct CRM push.
Data Feeds & Pipelines
Real-timeMaintained inventory, pricing, auction, compliance (DNC/OFAC/NPI), and news/social feeds — delivered via API, webhook, file drop, or CRM sync with freshness SLAs and schema versioning so downstream consumers never break.
AI Data Products
IntelligenceSemantic search over your data, entity resolution & dedup, document-to-database extraction, AI summaries & digests, and anomaly detection — the layer that turns structured records into decisions.
Reference builds
Patterns we've already shipped.
Production data systems we run today — the architecture we bring to any industry.
Vehicle inventory aggregation
An InWork-built platform aggregating vehicle inventory from 15,000+ US dealerships daily — 12+ raw formats normalized to one schema, with price-to-market and turn-prediction outputs via API.
InWork MarketPulse
Competitive intelligence across pricing, reviews, hiring signals, news/PR, SEO, and social sentiment — delivered as scheduled briefings or a real-time API.
Hyperlocal community data
A geographic data platform unifying fragmented local listings, events, and announcements into one queryable community layer.
Delivery model
From discovery to a system that runs itself.
Discovery — map sources, target schema, delivery format, refresh cadence, and compliance constraints.
Feasibility — assess site/API structure, rate limits, legality, and expected yield.
Pilot build — a 2-week proof: the first ~1,000 records extracted, normalized, and delivered into your system.
Production build — the full pipeline with monitoring, alerting, error handling, retry logic, and schema docs.
Ongoing ops — InWork maintains it: source changes, schema drift, and capacity scaling are ours to handle.
Done responsibly
Compliance is part of the build, not an afterthought.
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