Risk and compliance, run by an AI agent
Your compliance program, run by an AI agent and kept current as the rulebook moves.
Start fresh or bring the program you already have. Lemara maps every regulation to the processes, risks and controls that satisfy it, closes the gaps, and re-runs itself the moment the rules change. Every change is grounded in a proprietary compliance knowledge graph, cited to the source, and yours to review and approve before it lands.
Every financial institution has to hold this chain together. Today it is built by hand, by compliance teams and outside consultants, and it starts drifting out of date the day it is finished.
The problem
Compliance is still built by hand, and it no longer scales.
The rulebook moves faster than any team can re-map it. Firms hire, they add consultants, they buy platforms that store what was already built. The chain still comes apart between updates, and the cost of that gap is measured in penalties.
The cost of falling behind is not theoretical. US regulators issued 4.6 billion dollars in penalties in 2024, including a 3.1 billion dollar action against a bank whose program was never kept current.
The solution
An autonomous agent that runs the whole program.
Not a copilot sitting beside a compliance analyst. Lemara does the work across the entire chain and hands it to your team for review and approval.
Runs continuously. The agent re-runs itself as the rulebook changes.
The moat
Anyone can call a model. The graph underneath is the hard part.
A proprietary compliance knowledge graph
Hundreds of regulatory obligations mapped to the processes, risks and controls that satisfy them, built on deep domain knowledge rather than scraped text.
Domain engineers
Compliance experts trained on our product who build the regulatory mappings and refine the methodology for re-engineering a program to be AI native.
Grounded, citable, reviewable
Every output traces to the obligation behind it, with human review built into the workflow. The graph compounds as regulation evolves and cannot be reproduced by prompting alone.
Where we fit
We do the whole program. Others do part of it.
The category is real and it is funded. One competitor raised 120 million dollars in July 2026 at a 1.2 billion dollar valuation. Every player on this map covers a slice: one function, one domain, or a place to store what you already built by hand. Lemara is the only position that generates the program and keeps it current.
Regulatory intelligence vendors map a change onto a program you already built. Lemara generates the program, then maintains it.
The economics
About 3% in. Four to five times back.
Your compliance program is already a line item: headcount, outside consultants, and the software holding it together. Lemara costs less than 3% of that, and displaces the biggest pieces of it: the manual build, the ongoing maintenance, legacy tooling, and much of the consulting spend while easing the pressure to keep adding staff and tooling.
Why now
This was not buildable two years ago, and not buyable one year ago.
The models finally hold up
Only recently can AI parse regulation and produce structured, citable compliance output reliably enough to put in front of a regulator.
The rulebook is accelerating
New AI-related financial services rules nearly doubled last year, 157 in the year to mid-2025. Compliance officers rank the pace of change as their top challenge.
Institutions are buying
Large banks and insurers now have top-down mandates to deploy AI, with budget attached. Compliance is a prime target and buyers are actively looking.
Working together
Build it with us.
Design partners
Build it against your own rulebook.
- You shape the graph. We finalize the product against your live regulatory environment, not in isolation.
- Domain engineers embed. Compliance experts work alongside your team through the build.
- One entity first. Start with a single regulated entity, then expand across the enterprise.
- You keep the program. The output is your working system, not a pilot deck.
The team
Financial services insiders, building the thing they need.
The switching cost is the program itself. Once it lives in Lemara and stays current, leaving means rebuilding by hand.
Joy Ezekiel-Dike
Enterprise AI strategy leader at a Fortune 500 insurer, driving firm-wide AI adoption inside a regulated environment.
Asieh Ahani
Head of risk and compliance technology at a Fortune 500 insurer, owning the regulatory technology function Lemara serves.
Frank Dike
Over 20 years in risk, controls and governance across State Street, J.P. Morgan and Northern Trust.
Tavis Ezell
Over 20 years in technology commercialization, strategic partnerships, business development and product sales.
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