AI adoption, without the endless pilots.
Inaza builds insurance-native AI for P&C underwriting and claims — owned by the teams who make the decisions, in production in weeks.
- Offices
- Dublin · Munich · Dallas · Delaware
- Built for
- Carriers & MGAs
- Focus
- P&C underwriting & claims
We build AI that insurance teams actually own.
Inaza began with a frustration our founders kept hearing across carriers and MGAs: the data was hard to reach, and the AI was hard to trust. Good teams, real intent — and decisions still stuck in spreadsheets and inboxes.
We set out to build the opposite of a black box: insurance-native AI that underwriters and adjusters can read, edit, and stand behind. Built around how submissions and claims actually move, not a generic platform bent to fit.
We build for the people who carry the risk — the carriers, MGAs, and teams who answer for every decision. Our job is to give them AI they can put their name on.
- The people who own the decision should own the logic.
- Every output should be explainable and auditable.
- AI should fit the systems you already run.
- Trust is earned in production, not in a demo.
Insurance-native AI, built to be owned.
Four principles behind every deployment — the reasons our AI ships and stays in production.
01 · Native
Insurance-native, not generic
Built for P&C, not generic automation.Built exclusively for P&C underwriting and claims — real ACORD, FNOL, SOV and loss-run vocabulary, not repurposed automation.
02 · Explainable
Faster, safer, explainable
Micro-models, guardrails, logged reasons.Micro-models with guardrails and 200+ logged decision reasons — every output is traceable, never a black box.
03 · Owned
You own the logic
Editable agents your experts own.Editable agents your domain experts control from day one — no waiting on a vendor or an IT backlog.
04 · Auditable
Full forensic auditability
Every decision logged and reviewable.Every decision is logged and reviewable end to end, so risk and compliance can prove exactly what happened.
The people behind Inaza.
Insurance operators and engineers who have shipped in production.
After spending several years working as a trading technology consultant for various banks in Europe and Africa, including RMB Morgan Stanley, SEK, and DZ Bank, Niall has focused his sights on bringing high-frequency data technology from capital markets to insurance.
Niall Crowley
Chief Executive Officer
John is currently the MD of Cohen & Company Asset Management and has sat on the board of innovative insurtechs such as Metromile.
John Butler
Strategic Advisor
Divya leads backend development at Inaza, driving technical strategy and delivering scalable, high-performance systems. She oversees core engineering operations and ensures the reliability and growth of key infrastructure.
Divya Chauhan
Engineering Lead
Gerry was previously Executive Vice President for Individual Customer with Great-West Life in Canada. He was also CEO of Irish Life Financial Services.
Gerry Hassett
Strategic Advisor
A seasoned C-suite executive with over 25 years’ experience, including 15 years as CEO/CFO, who has consistently driven profitable growth and business transformation across diverse sectors and now focuses on helping founders achieve their growth ambitions.
Niall Dorrian
Director
Tianfeng brings deep insurance expertise and a global perspective, shaped by her work across Germany, the U.S., Portugal, and China. With experience spanning operations, strategy, and investment, she leads Inaza’s European growth with a focus on building strong, cross-border partnerships and delivering results through intelligent automation.
Tianfeng Cheng
SVP, Europe
Global operations, region-pinned.
EU operations in Dublin and Munich under GDPR and EU data residency; US operations in Dallas and Delaware. Your data and AI stay pinned to your region.
Talk to us — sales@inaza.comEuropean HQ · GDPR
Built for the team that reads the security questionnaire.
Enterprise controls aren’t a roadmap item. They ship on day one, and we put them in writing.
Model privacy
We never train on your data.
Your submissions and PII never train our models — or anyone’s.Your submissions, documents, and PII are never used to train our models — or anyone else’s. Your data trains your agents, nothing more.
Data minimization
PII redaction on by default.
Sensitive fields are masked before any document reaches a model.Sensitive fields are detected and masked before a document ever reaches a model. You choose what’s visible, down to the field.
Residency
Region pinning — US or EU.
Pin processing and storage to your region — in the contract.Pin processing and storage to your jurisdiction. Data residency you can put in the contract, not just the FAQ.
Access & audit
SSO, scoped roles, full audit trail.
Every action logged and exportable. SAML SSO and scoped roles.Every agent action is logged and exportable. SAML SSO and least-privilege roles map to the policy your security team already runs.
Put one workflow into production this month.
A structured working session, no onboarding cost, and your domain experts owning the logic from day one.