Vertical Data Intelligence Feeds
Regulated industries generate huge volumes of public filings, disclosures, and records that are technically public but practically unusable, scattered across agency websites, inconsistently formatted, and full of duplicate or conflicting entries. This service builds a subscription data feed for a specific regulated vertical (healthcare, finance, legal, government contracting, and similar) that ingests those messy public and regulatory sources, resolves entities across them, and delivers a clean, structured, queryable feed your customers can actually build on. It's a data product in its own right: something you can license, sell, or use internally as a durable competitive asset built once and monetized repeatedly. It solves the problem of an entire industry re-scraping and re-cleaning the same messy public data independently instead of buying it clean from a single, maintained source.
This is a capability we deliver for you as a service, not a role we’re hiring for.
How We’d Approach This
A clear, staged plan, not a black box
These are the service-specific steps inside our six-step process.
- 1
Scope the specific regulatory or public sources, the target vertical, and the entities and fields the feed needs to cover
- 2
Pilot ingestion and entity resolution against a subset of sources, validating accuracy against known records in that vertical
- 3
Review data quality and coverage gaps with domain experts before committing to the full source list and refresh cadence
- 4
Build the production feed with a refresh schedule, quality monitoring, and a delivery mechanism (API, file feed, or database) ready to license or operate
What You Get
Deliverables from this engagement
- Production data feed covering the agreed vertical and source set
- Entity resolution logic documented and validated against known records
- Delivery mechanism (API, scheduled file feed, or database access)
- Refresh cadence and ongoing data-quality monitoring
Six Ways We Could Architect This
Different engagement, different build, pick the shape that fits
There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.
Read all 6 architectures as text
Lean Fast-Start Architecture
Source Sourcing
- Regulatory Filing Website
- Basic Web Scraper
- Raw Filing Store
Parsing
- Simple Field Parser
- Entity Name Normalizer
Resolution
- Deterministic Entity Match
- Deduplicated Entity List
Output
- Flat File Export
- Delivered to Subscriber
- Manual Refresh Check
- Coverage Gap Notes
- Quality Spot Check
Cloud-Native / Managed Services Architecture
Managed Ingest Layer
- Public Regulatory Sources
- Managed Web Ingestion Service
- Cloud Data Lake Raw Zone
Managed ETL Layer
- Managed ETL Pipeline
- Entity Resolution Service
- Curated Data Warehouse
Delivery Layer
- Managed API Gateway
- Scheduled File Feed Export
Operations Layer
- Subscriber Access Portal
- Usage Monitoring
- Data Quality Dashboard
- Managed Backup and Failover
Event-Driven & Automation-First Architecture
Triggers
- Scheduled Crawler Run
- New Filing Detected
- Agency Publishes Update
Automation Layer
- Auto Parse Pipeline
- Auto Entity Resolution Queue
- Change Detected vs Last Feed
Review Gate
- Auto Diff Generated
- No Update Needed
- Confidence Above Threshold
- Flag for Domain Expert
Automated Publishing
- Auto Publish Feed Update
- Subscriber Webhook Notification
Enterprise-Grade & Compliance-Ready Architecture
Governance Layer
- Source Licensing Compliance Check
- Data Usage Rights Log
- Regulatory Vertical Compliance Rules
Secure Pipeline
- Access Controlled Data Lake
- Entity Resolution with Lineage Tracking
- Redundant Multi Region Storage
Auditable Feed
- Versioned Feed Release
- Full Record Change Audit Trail
- SLA Monitoring Dashboard
Compliance Delivery
- Access Controlled API Delivery
- Subscriber Compliance Attestation
- Quarterly Data Quality Review
AI-Augmented, Human-in-the-Loop Architecture
Source Ingestion
- Messy Public and Regulatory Filings
- AI Entity Extraction Engine
AI Resolution Layer
- AI Drafted Entity Matches
- AI Confidence Scoring
- Confidence Threshold Met
Human in the Loop
- Domain Expert Review Queue
- Match Validated Against Known Records
- Correction Fed Back to Model
- Human Approved Entity Record
Delivery
- Golden Record Published to Feed
- Delivered via API or File Feed
- Feedback Improves Resolution Model
Integration-Heavy / Ecosystem-Connected Architecture
Client Systems
- Customer Data Warehouse
- Client CRM
- Partner Data Exchange Platform
Feed Core
- Vertical Data Intelligence Engine
- Entity Resolved Golden Records
- Refresh and Delivery Scheduler
Two Way Sync Layer
- BI Tool Connector
- API Webhook Delivery
- Client Analytics Team
- Client Application Layer
Shared Governance
- Data Quality Feedback Loop
- Published Feed Update
More in Data Intelligence, Document AI & Applied Analytics
- Entity Resolution & Data Deduplication Pipelines
Multi-stage (deterministic to fuzzy to LLM-adjudicated to human-reviewed) matching that cleans up messy real-world entity records.
- Data Labeling & Annotation for ML Training
Human-and-AI-assisted labeling pipelines that produce high-quality training data.
- BI Dashboards & Executive Reporting
Custom dashboards that turn raw operational data into decision-ready reporting.
- Predictive Analytics & Forecasting Models
Custom statistical and ML models that forecast demand, churn, revenue, or risk.
Ready to get started?
Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start, scoped small enough to prove itself before you commit to anything bigger.
Talk to us about Vertical Data Intelligence FeedsMost engagements like this start as a $500–$2,500 pilot, see full pricing.