AI-powered extraction
Policies, schedules, claim documents — whatever the layout, FTM reads it, validates it, and turns it into machine-routable data. No more manual re-keying.
FTM is the AI-powered extraction engine built for every section of insurance — Commercial Lines, Personal Lines, Agriculture and Body Corporates. We read any insurance document, normalise it into a strict schema, and route it straight into the systems insurers already run — accurately, auditably, at scale.
Three capabilities, one platform — built specifically for the policies, schedules and quotes that insurers actually work with.
Policies, schedules, claim documents — whatever the layout, FTM reads it, validates it, and turns it into machine-routable data. No more manual re-keying.
Configurable quote portals that understand your rating rules, sections, and limits — across commercial, personal, agri and body corporate lines, from Fire Cover and Household to Crop, Livestock and Sectional Title.
Clean, structured JSON is our native output — ready to drop straight into your policy admin, rating engine or quoting portal. Need AML, XML, REST or SOAP instead? We'll build the integration to fit your backend. No middleware. No surprises.
From commercial schedules to household quotes, from crop policies to sectional title renewals — our extraction and integration platform handles the full breadth of the insurance market, wherever you operate.
Fire, Business Interruption, SASRIA, Motor Fleet, Liability, Engineering — the full commercial book, across schedules of any complexity.
Household Contents, Buildings, Personal Motor, All Risks, Portable Possessions — structured data for high-volume, high-velocity personal portfolios.
Crop, Livestock, Farm Assets, Greenhouse, Asset-All-Risks — schema-aware handling of the seasonal, schedule-heavy agri book.
Sectional Title schemes, HOAs, managing agents — building replacement values, common property, and public liability, all normalised.
Our software is built to disappear into your backend. The numbers — faster quoting, cleaner data, lower cost per policy — are impossible to miss.
Insurance is a business of detail. A misread sum insured is a liability, not a typo. We engineer for correctness first, and speed second.
We don't guess at scope. We map your schema, agree the deliverables, and give you a firm quote up front — so you know exactly what you're getting before we write a line of integration code.
Every insurer's backend speaks its own dialect. We respect those dialects absolutely. We never ask you to bend your system to ours.
Every engagement strengthens the FTM platform — so tomorrow's customer benefits from today's integration. You get configuration, not bespoke one-offs.
FTM is built for extraction and extraction only. We process transiently, store nothing, and never use your data to train models. Privacy isn't a feature — it's the architecture.
Our platform is designed to meet GDPR requirements from the ground up — data minimisation, purpose limitation, and lawful processing by default.
Documents are processed in real time and discarded immediately. No files, no extracts, no metadata is retained after the job completes.
We don't store your documents, your extracted data, or any derivative of it. Once the structured output is delivered, our systems hold nothing.
Your data is never used to train, fine-tune, or improve any model — ours or anyone else's. Our systems are purpose-built for extraction and nothing more.
FinTech Micro is an InsurTech company focused on a single, unglamorous problem: eliminating manual data capture from the insurance industry.
We work with leading insurers and brokers to power production extraction, policy mirroring, and quote-portal workflows across every section of the market — Commercial Lines, Personal Lines, Agriculture and Body Corporates. Every line of code we ship is designed to disappear into our customers' backends — quietly, accurately, and at scale.
We build infrastructure, not surface features.
Whether you're scoping a new quoting portal, migrating a broker book, or trying to kill a manual capture queue — we'd like to hear about it.