AI infrastructure for insurance

Insurance runs on documents and case histories, claims forms, policy files, loss reports, correspondence, all of which has to be processed at volume and kept straight per policyholder. If you're building claims processing or underwriting tools, the slow part isn't the reasoning, it's the infrastructure: extracting structured data from documents in every format, isolating each policyholder's data, and giving an agent the full history of a case across every interaction.

This page is for developers and teams building those tools. Exabase gives you document extraction at scale through Extract, per-policyholder isolation through Bases, and persistent case history through Memory, on one platform. Your end users are the carriers, adjusters, and underwriters using what you build, and each policyholder or case gets its own isolated environment without you building the separation yourself.

What you can build

Insurance AI tools tend to be one of a few shapes, each on infrastructure that already exists.

A claims processing tool that extracts structured data from claims forms, loss reports, and supporting documents automatically and holds the full history of a claim across every interaction, document extraction at scale combined with per-case memory.

An underwriting assistant that pulls structured information out of policy files and applications and remembers the context of a case as it moves through review, Extract for the documents and Memory for the running picture.

A document-heavy intake pipeline that turns the flood of PDFs, scans, and forms a claim generates into clean, usable data, the invoice and document processing pattern applied to insurance paperwork, with Workers handling the continuous stream.

A policyholder-facing assistant that answers from a policyholder's own documents and case history, isolated to them, a per-policyholder RAG pipeline with memory.

Insurance problems, solved

The problems insurance builders run into are consistent, and each has a specific answer.

Structured data from messy documents. Claims and policy documents arrive as PDFs, scans, and forms in endless layouts. Extract turns them into clean, structured text and metadata through one API regardless of format, including scans, so the information is usable rather than locked in paperwork, and it processes the volume claims generate.

Per-policyholder isolation. One policyholder's or one claimant's data must not surface in another's case. Bases make isolation structural: each gets a sealed environment, and an operation scoped to it can only see that data, so cross-contamination is prevented by the architecture rather than by careful filtering. This is the multi-tenant memory pattern.

Full case history across interactions. A claim or an underwriting case unfolds over time. Memory holds the full history, what was submitted, what was decided, what's outstanding, and keeps it current through contradiction resolution, so an agent works from where the case actually stands.

Processing a continuous stream. Documents keep arriving throughout a claim's life. Workers process new documents on a schedule, so intake keeps pace without a manual run each time.

Accountability. Every memory carries creation and modification timestamps, so what an agent did and knew is reconstructable, the compliance and audit trails pattern. Exabase is HIPAA compliant and has passed CASA Tier 2 review, with AES-256 encryption at rest and structural data isolation between tenants, though whether your deployment meets your specific regulatory obligations is a matter for your own compliance review.

The infrastructure underneath

Four primitives carry most insurance tools. Extract turns claims and policy documents into structured data at scale. Bases isolate per policyholder or per case from a single API call. Memory holds case history across interactions, with the timestamps that make it auditable. Workers keep the document stream processed. All through one API key, rather than assembling and isolating four services yourself.

Built to process at claim volume

An insurance tool on this foundation scales with the document flow rather than straining against it. Extraction and scheduled processing handle volume that would overwhelm a hand-built pipeline, and adding a policyholder or a case is one API call to create their isolated environment, so the separation holds whether you process hundreds of claims or millions. Each case's history compounds within its own environment as it progresses, while the isolation between policyholders stays absolute and the audit trail builds itself. The undifferentiated work, parsing, queueing, isolation, audit logging, stays the platform's problem while your volume grows.

Get started

Start with the getting started guide, then the use-case pages that match what you're building: document extraction at scale, invoice and receipt processing for the structured-document pattern, long-term memory for any agent for case history, and multi-tenant memory for SaaS for isolation. There's a free tier to build against.

FAQs

Can it extract structured data from claims documents and scans?

Yes. Extract turns claims forms, loss reports, and policy files into clean, structured text and metadata through one API, handling scans and images as well as native PDFs, so the data is usable regardless of how a document arrived.

How is one policyholder's data kept separate from another's?

Each policyholder, or each case, gets its own Base, a structurally isolated environment. Operations scoped to it can only see that data, so cross-contamination is prevented by the architecture. It's the multi-tenant SaaS pattern.

Does an agent get the full history of a claim?

Yes. Memory holds the case history across interactions and keeps it current through contradiction resolution, so an agent works from the current state of the claim rather than reconstructing it each time.

Can it keep up with documents arriving throughout a claim?

Yes. Workers process new documents on a schedule, so intake keeps pace with the stream without a manual run for each one.

Is it secure and compliant enough for insurance data?

Exabase is HIPAA compliant and has passed CASA Tier 2 review, with security and privacy practices including AES-256 encryption at rest and structural data isolation between tenants. Whether a given deployment meets your specific regulatory obligations remains a determination for your own compliance review.

Is this a finished claims product or something I build on?

Something you build on. Exabase is the infrastructure, extraction, isolation, case memory, and scheduled processing, and you build the claims or underwriting tool on top, for carriers and adjusters to use.