Kolega Labs is an applied-AI consultancy for regulated enterprises. We embed with your teams to redesign operations, build bespoke AI-native software, and ship it to production under audit.
The guardrails aren't a phase we add at the end. They're built into a toolchain we made ourselves, which is how we compress years into quarters without failing your next audit.
Moving fast and staying compliant is not a trade-off.
Every board in a regulated industry has been told to "do AI." The real fear isn't that it won't work. It's failing an audit, leaking data, handing critical operations to a black box, or ending up trapped between systems: the old one you can't retire and the new one you can't trust. The choice isn't fast or safe: with the right toolchain, safe is how you go fast. That's what we deliver.
Engagements range from a focused transformation workshop to embedded, multi-quarter delivery. Where the need is narrower, we run targeted implementations on our own toolset: standing up agentic coding cycles inside your engineering teams, or remediating a codebase at scale. Every engagement ends in working software in production.
We embed with leadership and operating teams to find where AI changes the unit economics: cost per case handled, days to clear a review queue, headcount per book of business, then commit to a roadmap with measurable outcomes and accountable timelines.
Production systems built for regulated environments: due-diligence and review platforms, underwriting and onboarding workflow, servicing and back-office tooling. Audit-ready from the first commit, and you own the result.
Coordinated agents that run real operations end to end: document intake and exception handling, case triage, KYC refresh, reconciliation breaks, all executing under governance, with a human approver on anything high-risk.
We stay in the build with your teams through model-governance sign-off, penetration testing, and regulator questions, shipping iteratively and keeping systems improving long after launch.
We map the whole ecosystem, from processes to data to decision points, to find the highest-impact transformation.
We design systems that reimagine how the business should operate, rather than automate what already exists.
We build and deploy coordinated agents that execute complex operations end-to-end, under governance and audit.
Systems learn and adapt. We stay embedded to optimise operations and surface new opportunities over time.
We build what we deliver with: the tools, the specialist bench, the migration method. It sharpens on every engagement, and it stays with your teams when we leave.
Studio puts a working prototype in front of stakeholders while the idea is still fresh. Code builds the production system. DevSec hardens it before it ships. CAM™ moves the data and proves nothing broke.
Not products we sell. The kit we work in, and yours at handover.
Prototype in the room
Where an idea becomes a working app in the same session it was described. We use it to align stakeholders and settle scope before engineering starts.
The production engine
The engine behind our heaviest builds and migrations. Multi-agent, local-first, provider-agnostic, open source.
Nothing ships unscanned
Deep semantic analysis that finds the vulnerability, writes the fix, tests it, and opens the pull request. It runs on every engagement.
497 specialist agents and skills across 45 disciplines: every one a codified Kolega best practice, hardened on real engagements. Day one starts with a full bench, not a blank page.
A security engineer for the threat model, a change-management consultant for the rollout, a data-privacy officer for the GDPR review, loaded the moment the work needs them instead of staffed weeks later.
High-risk decisions route to a human approver, and every action lands on an audit trail. Autonomy stays accountable.
Migration you can prove, not just promise.
Agents propose, deterministic machinery decides, humans sign. The run ends in evidence your examiner can re-verify.
Both schemas are yours and you choose the cutover date. Every transformation meets this day: the new system goes live, the old one retires. CAM certifies it.
The spec is contractual, the cutover is a legal event on a fixed date, and the seller's system goes dark exactly when questions start. CAM replaces trust with signed commitments and the parallel run with tape rehearsal.
CAM runs inside your perimeter. Bulk data never leaves, and every artifact re-verifies without us. ISAE 3402/3000-style workpapers compile from the same evidence log.
Buy the outcome now, build the capability over time. You don't have to choose between a delivered system and an AI-native team. We sequence them.
We embed, design the operation, and build and ship the systems ourselves, with the full bench in our hands. You get working software in production, under audit, on an accountable timeline. Best when the outcome matters more than building internal muscle first.
We put the whole toolchain, agent templates and tools alike, in your teams' hands and teach them to deliver with agentic workflows: coding at the speed the market now expects, with the guardrails a regulated environment requires. Best when the goal is durable internal capability.
We deliver the first transformation with your teams working alongside us, then hand over the kit and the practices so they keep going without us. The same arsenal, either way.
The credibility behind our consulting is public. We open-source the engines we build, and we initiated an open benchmark that ranks them against the frontier, methodology and results published, so our claims are checkable rather than taken on trust.
Kolega Code (multi-agent coding) and Kolega Scan (security scanning) are open source. They're the same engines we deploy on engagements. Start with the open core, then move to our managed platform when you need scale, support, and audit-grade guarantees.
Explore the open source →An open-source benchmark of real vulnerabilities across production-style repositories. We initiated it, we run against it, and the methodology and results are public, so you can reproduce our numbers instead of taking them from us. It stays outside the product rather than absorbed into it.
realvuln.com →Everything we know about running agentic coding safely, written down. An evidence-driven guide built on Kolega Code, Kolega Scan, and the RealVuln Benchmark: plan, build, scan, fix, and measure the pipeline yourself.
In regulated-industry selling, compressed proof reads as unsubstantiated. Each engagement below is a full case study: the process before, what we deployed, the controls, and the measurement period.
Redesigned and automated a lending operation from due diligence to disbursement, with AI agents that coordinate stakeholders and adapt to regulation in real time.
Straight-through processing on the majority of applications, with exceptions routed to named human approvers.
Read the full case study → CASE STUDY · MORTGAGEBuilt a ground-up AI-native platform for mortgage due diligence, turning manual review into intelligent workflows that handle risk assessment and compliance at scale.
Most manual review steps removed; what remains is a reviewed exception queue rather than a full-file read.
Read the full case study →Selected clients & partners
Whether it's a focused workshop or a multi-quarter rebuild, we'll scope a clear path to becoming AI-native, securely and without failing an audit.