Insurance components, already built.
We built an AI-native platform for insurance that supports the full range of AI use cases across the value chain. Its depth and reusability are what let us deliver insurance solutions faster, with lower delivery risk and regulator-ready governance from day one.
What makes it defensible.
Five properties you only get when the platform is built for insurance from the ground up. Each took a year to build and validate against carrier data.
Reads a TOB, slip, loss run, and FNOL natively.
Out of the box. 97% field accuracy. Frontier models without insurance training sit at 60–70%.
Idea to live agent in weeks.
Pre-built components and insurance-native models compress the adoption curve. The first workflow ships in 6–8 weeks. The next one ships in half the time, because the components carry over.
Lower inference cost per decision.
Insurance-trained models read the document on the first pass. No prompt-engineering workarounds, no retries on failed parses.
One risk record per customer.
Every agent reads from it and writes to it. The insurer compounds knowledge across claims, renewals, servicing and cross-sell.
Cloud, on-premise or air-gapped.
You choose where data lives. IRDAI, Saudi IA, DHA and FCA compliance are built in, not bolted on. Procurement and regulator objections vanish.
Pre-built. Insurance-specific. Not a generic AI toolkit.
Components that already understand FNOL, SOVs, pre-auth, bordereaux and the rest - so the first day of an engagement looks like the third week of someone else's.
- FNOL intake - voice, WhatsApp, app, broker email
- Submission and SOV extraction
- ACORD form ingestion and field extraction
- Loss run report ingestion and trend structuring
- Underwriting triage and referral routing
- Health pre-authorisation with clinical guidelines
- Servicing voice and chat agents (multilingual)
- Quality monitoring across 100% of calls
- Next-Best-Action and retention models
- Bordereaux ingestion and reconciliation
- Subrogation and recovery detection
- Complaints and conduct-risk triage
ACORD forms and loss run reports, read natively.
These documents are the language of underwriting and actuarial work. Generic document AI misses the fields that matter; our models are trained on the forms carriers actually receive.
Plug into your core. Don't replace it.
Pre-built integrations into the systems carriers, MGAs and brokers actually run. The system of record stays where it belongs.
Three topologies. One platform.
Pick the model your security and regulator already approve. The platform, components and governance stay the same.
Explainability, guardrails, audit. On every workflow.
Explainability
Factor-level reasoning on every model decision. Underwriters and adjusters see why, not just what.
Guardrails
Confidence thresholds, scope boundaries and human-in-the-loop on every agent action.
Audit trails
Append-only logs of every input, decision, override and outcome. Exportable for regulator review.
Regulatory alignment
IRDAI, Saudi IA, DHA / HAAD, FCA, NAIC, CBUAE / SAMA. Evidence packs prepared from day one.
Tell us the workflow that's costing you the most.
In time. In headcount. In customer experience. We'll tell you whether we can move it in 6–8 weeks - or we'll tell you we can't.