Headless Operations
for regulated industries.
Not models. Not endpoints to a database. Full operational pipelines for insurance and FSI — exposed as a single API call.
"No browser required. Our API is the UI."
The layer Headless 360 doesn't touch.
Salesforce exposed data through APIs. Notch exposes operations — the layer where regulated industries actually live.
Data, exposed as APIs.
Records, queries, CRUD. The data layer becomes addressable.
Operations, exposed as APIs.
Full pipelines. Multiple models. Deterministic guardrails. Jurisdiction-aware rules. One endpoint.
A research and engineering division for regulated AI.
Notch Lab is the research and engineering division of Notch — the team that builds the infrastructure powering our managed insurance and FSI agents. For three years we've operated AI inside regulated workflows: over 20 million conversations processed, FNOL intakes triaged, ACORDs parsed, coverage decisions explained, claims routed under real auditor scrutiny.
The Lab exists for the engineering teams who want to build, not buy. Carriers, insurtechs, and FSI platforms tell us the same thing: the regulatory surface is too big to rebuild from scratch — ACORD parsers, 50-state DOI rule engines, audit trails, jurisdiction-aware decisioning — and too important to hand to a horizontal LLM. So we're shipping our pipelines as primitives. Same engine. Different surface.
Beyond pipelines, the Lab studies the frontiers of voice and agentic AI and publishes openly. Our goal: share what we learn from production — what makes a conversation work, what makes an agent decision auditable, what makes a regulated workflow ship — and give back to the broader community's understanding of regulated AI.
The frontiers of voice and agentic AI.
We study what makes conversations work and what makes agent decisions defensible — then publish openly and contribute back to the broader community.
Voice infrastructure
Building telephony systems that handle real-time voice interactions at scale — speech recognition, synthesis, sub-second latency, and audio quality through carrier-grade load.
Agent architecture
Designing AI agents that reason, plan, and execute complex tasks — model orchestration, multi-agent systems, deterministic guardrails, and prompt-engineering approaches under regulated constraints.
Agent capabilities
Developing reusable skills for common scenarios: routing, authentication, knowledge retrieval, escalation, and integrations with core insurance and FSI back-end systems.
Observability & optimization
Understanding agent behavior through analytics, simulations, and evaluations — then driving continuous improvement from real production data, not benchmarks.
Same engine.
New surface.
The same pipelines that power our managed product — now available as primitives. Build with us, or build on us.
— Yuval Peled, CTO @ Notch
Five pipelines, going live.
Each call isn't a single LLM completion. It's a complete pipeline — multiple models, deterministic guardrails, jurisdiction-aware rules, full audit logging — behind one endpoint.
First Notice of Loss, end-to-end.
Coverage decisioning with citations.
ACORDs, loss runs, COIs, MSAs.
Broker submission, instantly assessed.
Claim routing with reasoning.
A pipeline, not a completion.
Each request runs through multiple models, deterministic guardrails, jurisdiction-aware rules, and full audit logging — and returns a single typed response.
Multiple models
Specialized for transcription, extraction, classification, scoring.
Deterministic guardrails
Transaction limits, access caps, configurable per tenant.
Jurisdiction rules
50-state DOI, GDPR, FCA — applied as code, not judgment.
Typed output
Schema-validated, citable, ready for business logic.
Built for the four sides of the insurance stack.
Carriers, MGAs, brokers, and reinsurers all face the same operational tax. Notch Lab pipelines remove it — same engine, surface tuned per role.
Standardize intake, expand capacity.
Move from inbox triage to underwriting-ready files in seconds. Same headcount, more throughput — with a defensible audit trail under every decision.
- POST /v1/submissions/triage
- POST /v1/coverage/verify
- POST /v1/fnol/intake
Scale binding authority with ease.
Bind faster without expanding ops. Appetite checks, document validation, and risk classification run as primitives — each decision encoded against your binding authority.
- POST /v1/submissions/triage
- POST /v1/documents/ingest
- Authority matrix via Playbooks
Submit complete files the first time.
Pre-flight every submission. The agent reads, checks, and fills the carrier-specific missing-info list before you press send. Fewer round-trips. Faster quotes.
- POST /v1/documents/ingest
- Completeness checks pre-send
- Carrier-specific Playbooks
Portfolio insight with clean data.
Bordereaux, loss runs, and cessions normalized into typed data on arrival. Real-time portfolio view, anomaly detection, and audit-grade lineage for every line.
- POST /v1/documents/ingest
- Anomaly & lineage hooks
- Custom schemas via Playbooks
Policyholder data, claim files, and underwriting submissions never leave your environment. Bring your own encryption keys, customer-managed KMS, regional data residency.
Every pipeline runs against your Playbook — underwriting appetite, claims SOPs, reserve policy, authority matrices, state-specific endorsement rules, fraud indicators. Upload once. Version like code.
- playbooks/carrier-a/[email protected]
- playbooks/carrier-a/[email protected]
- playbooks/carrier-a/[email protected]
- playbooks/carrier-a/[email protected]
The pipelines are shared infrastructure. The decisioning is your IP — and it stays your IP.
playbook: carrier_a:v3
playbook: carrier_b:v7
Build with us.
Or build on us.
For most teams, our managed platform is the right call. For engineering teams ready to embed insurance intelligence directly into their product, Notch Lab is now in private beta.
Thank you for your submission!
Autonomous AI for operations leaders ready to turn complexity into advantage.
Deployed in weeks. Autonomous in months. Compounding for years.