The product
PolDex is the 99%+ accurate vertical API for insurance extraction: documents in, evidence-backed structured data out.
PolDex is built by Olamilekan Akinuli to replace manual insurance document operations with deterministic extraction infrastructure. The first wedge was Commercial P&C; the release-ready product now spans the full 56-schema insurance universe with 99%+ benchmarked accuracy.
PolDex is the 99%+ accurate vertical API for insurance extraction: documents in, evidence-backed structured data out.
Commercial P&C was the first wedge because it is document-heavy, painful, and full of COIs, policies, endorsements, schedules, submissions, loss runs, and SOVs.
The same rail now spans consumer P&C, claims, life, health, benefits, reinsurance, specialty, ACORD, and document primitives.
PolDex does not sell insurance or own the workflow. It supplies insurance truth to the systems and agents that already do the work.
Insurance documents enter as files, URLs, text, email, or agent calls.
PolDex returns deterministic JSON, evidence, conflicts, exports, and artifacts.
PolDex starts where the live system already works, then adds schema families, evidence rules, and benchmark coverage line by line instead of creating separate products for every insurance category.
56 release-ready schema contracts across 7 insurance families are callable today across all 56 schema contracts across the insurance universe.
56 of 56 schema contracts cleared the 100+ document release gate, activating the 99%+ accuracy posture across the full universe.
Loss Runs, SOVs, ACORDs, schedules, endorsements, and broker submission variants continue expanding the commercial surface.
Personal Auto, Homeowners, Renters, Condo, Personal Umbrella, Life, Health, Disability, Travel, and Pet are release-ready.
COI, Policy Declaration, Endorsement, Schedule, Binder, Quote, Renewal, Cancellation, and Application are release-ready document primitives.
FNOL, loss runs, claim packets, adjuster reports, estimates, bills, EOBs, settlements, and subrogation are release-ready claim schemas.
Life, health, disability, group health, group life, group disability, stop loss, and benefits evidence all cleared the same benchmark discipline.
Bordereaux, treaties, and facultative certificates are release-ready and covered by the same 99%+ benchmark discipline.
Public contractor insurance packets showed the same pattern repeatedly: long insurance PDFs, manual review, structured fields re-entered by hand, and downstream systems waiting for reliable data.
Certificates, policies, endorsements, schedules, and submissions contained the source of truth, but teams still had to read, re-key, compare, and resolve them manually before anything useful could happen in software.
packet.pdf certificate_of_insurance.pdf commercial_gl_policy.pdf additional_insured_endorsement.pdf schedule_of_named_insureds.pdf required downstream record: limits, named insureds, carriers, dates, endorsements, exclusions, evidence, conflicts
PolDex is designed to sit behind brokerages, underwriting tools, compliance products, procurement systems, agent products, and internal ops. It turns documents into deterministic records and gives the workflow back to the company using it.
PolDex surface area API Processor Live Proof Playground MCP server CLI OpenAPI Webhooks JSON / CSV / XLSX / ZIP artifacts
PolDex does not ask buyers to adopt another underwriting desk. It supplies clean insurance data to the systems they already use.
The output is schema-constrained JSON with evidence, truth states, conflicts, and abstentions instead of free-form AI narrative.
The same extraction rail is exposed through API, MCP, CLI, OpenAPI, llms.txt, schema discovery, and downloadable artifacts.
PolDex can serve brokers, MGAs, carriers, compliance teams, and insurance software vendors because it does not own their workflow.
PolDex is currently built by a solo founder: product, engineering, extraction behavior, proof surfaces, docs, deployment, and agent interfaces are being built from one infrastructure-first point of view.
Contact ->
The next wave of software in insurance will be partly operated by agents and partly by existing systems. Both need machine-readable, evidence-backed extraction instead of another manual review queue.
COIs, policies, endorsements, schedules, claims packets, benefits forms, and broker packets still move as PDFs and attachments.
Insurance operations need field evidence, conflicts, abstentions, schema rules, and predictable exports, not just OCR or summaries.
AI agents can browse and reason, but they need machine-readable insurance extraction rails to complete real workflows.
Public proof, playground, docs, benchmark, credits, and status make the product reviewable without a sales-led walkthrough.
POST /v1/extract, async jobs, estimates, credit ledger, and downloadable artifacts.
Processor supports batch operational review without changing the backend contract.
MCP server, CLI, OpenAPI, llms.txt, and schema discovery for AI-agent workflows.
Live proof, benchmark, docs, status, pricing, changelog, and roadmap remain public.
The adjacent categories are real. The difference is where PolDex sits: it sells insurance-native extraction itself, starting with commercial P&C and expanding line by line, so many workflows can use the same rail.
| Dimension | PolDex | Adjacent category |
|---|---|---|
| Horizontal document AI | Insurance truth infrastructure with schema families, evidence, conflicts, abstentions, exports, signed delivery, and ledgered jobs. | Broad parsing and extraction platforms work across many industries, but they are not insurance-native systems of truth. |
| Workflow AI platforms | Extraction is the product: API, processor, strict schemas, evidence, exports, webhooks, and credit accounting. | Workflow products often extract as one capability inside intake, audit, broker automation, or compliance workflows. |
| AI-native brokerages | Neutral infrastructure any broker, MGA, carrier, agent company, or software platform can use. | Brokerages place risk and own distribution. PolDex does not sell insurance or compete with broker workflows. |
| Manual operations | Self-serve API and processor with repeatable outputs, named downloads, evidence, and audit trail. | Human review teams re-key fields into spreadsheets and internal systems, creating delay and inconsistent QA. |
Run a real extraction on a public document across completed schema families.
Open Live Proof ->Upload, paste, or link a document and inspect JSON output before integration.
Open Playground ->Batch documents through the operational surface while keeping the same backend contracts.
Open Processor ->Read endpoint contracts, request examples, schemas, and agent-interface instructions.
Open Docs ->Review schema coverage, methodology, evidence rules, and production benchmark posture.
Open Benchmark ->Check health, readiness, component state, and production issue contact paths.
Open Status ->Run proof, inspect the API, then initialize access when ready.