Crash reports are public records, but they're scattered across dozens of state portals in different formats. This pipeline automates the entire collection, extraction, and delivery process.
FL, TX, MO, OH + more
Automated report retrieval
Names, phones, insurance
Database + CSV export
Crash report PDFs are inconsistent across states - different layouts, fields, and formats. Traditional regex or template-based parsing breaks when formats change. An LLM extraction layer adapts to any layout and pulls structured data reliably, even from scanned documents via OCR.
Four layers, each handling one job. Modular design means adding new states is plug-and-play.
Automated retrieval from state crash report portals.
LLM-powered parsing that adapts to any report format.
Deduplication, validation, and storage.
Clean data out, in the format you need.
Starting with the highest-volume, most accessible states. Additional states added as modules after launch.
Open online portal
Easy AccessCRIS system
Easy AccessOnline lookup
ModerateOHLAP portal
ModerateGEARS system
ModerateDMV portal
ModerateDMV request system
Per-Report FeeModular design
Post-LaunchCrash reports are public records under each state's open records laws. Per-report fees (typically $4-12) vary by state and are a pass-through cost, separate from the build budget. I build the system; your team owns compliance with applicable data use regulations in your industry.
From kickoff to a working pipeline pulling live crash reports from your first batch of states.
Deep research into portal access patterns for priority states. Build the first two downloaders (Florida + Texas) with authentication, pagination, and rate limiting. Establish the base adapter pattern so new states plug in cleanly.
Build the LLM-powered extraction layer. Feed it sample reports from multiple states, validate extraction accuracy against manually checked data. Set up PostgreSQL schema, dedup logic, and data validation rules.
Add 2-4 more state adapters using the base pattern. Build the export system - CSV/Excel generation, filtering by state/date/carrier, and the admin dashboard for monitoring pipeline health and volume.
Set up daily automated runs with monitoring and alerting. End-to-end testing across all integrated states. Documentation, handoff, and training on how to add new states using the adapter pattern.
Complete system. Full source code. No vendor lock-in. You can run it, modify it, or hand it to another developer.
Modular downloaders for each integrated state, with documentation on adding new ones
LLM-powered parsing with OCR, tuned for crash report formats across multiple states
PostgreSQL with structured records, dedup logic, and full audit trail
CSV/Excel export with filters by state, date, carrier. API endpoint for CRM integration
Pipeline monitoring, volume tracking, extraction accuracy metrics, error alerts
Architecture docs, state adapter guide, deployment instructions, and source code
Two weeks of post-launch support after handoff. Bug fixes, extraction accuracy tuning, and assistance adding one additional state adapter at no extra cost.
Fixed-price build within your $10K budget, with clear milestones tied to deliverables.
| Phase | Deliverable | Amount |
|---|---|---|
| Week 1 | Portal research + first 2 state adapters (FL, TX) | $2,500 |
| Week 2 | AI extraction engine + database + dedup | $3,000 |
| Week 3 | Additional states + export layer + dashboard | $2,500 |
| Week 4 | Scheduling, testing, documentation, handoff | $2,000 |
| Total | $10,000 |
After launch, additional state adapters can be added at $500-1,500 per state depending on portal complexity. This is optional and can be scoped as a follow-on engagement.
A 20-minute call to align on priority states, confirm portal access requirements, and lock in the timeline. We can be pulling live reports within a week of kickoff.