CAIT.tech is an AI-first, agent-based development platform. Specialized engineering agents support planning, implementation, code review and QA — always under human control. Expert engineers make the decisions that matter; CAIT provides the intelligence, automation and traceability.
AI-first. Human-led.
Built specifically for complex, regulated software environments — the result is speed your team can feel, quality your auditors can trust, and control you never give up.
AI agents handle planning, implementation, code review and QA, so your team moves faster without expanding headcount.
One platform across Jira, GitHub and your IDE. No tool sprawl, no inconsistent AI behaviour across the team.
The platform learns from your team's feedback, getting more aligned with your standards and compliance needs every sprint.
Not disappear into your scroll history.
Tab closes. Prompt is gone. Same tokens, same answer — three times over.
Knowledge compounds, sprint over sprint.
The platform is designed to assist, not replace. It never decides. Every high-impact step follows a strict governance model.
Automated scoring of every code change.
Human approval required on all pull requests.
Teams choose exactly when to upgrade agents.
Designed to support EU AI Act and NIST AI RMF from day one — not bolted on later.
Twice the feature throughput, with a human approving every single merge.
Read the customer story →Automated implementation pipelines remove manual, repetitive work.
One platform, identical agents across every team — uniform quality and security.
Full cost visibility at team, project and developer level. Budget organized by business unit or project team.
New teams join through a project profile — instant scaling, no manual setup.
Most organizations run software across very different worlds — different teams, different vendors, different standards. That diversity is exactly where ungoverned AI delivery hurts most: inconsistent quality between units, no shared cost view, and knowledge trapped inside individual teams.
The same agents, the same quality gates and the same review rules apply whichever team or vendor is doing the work.
Spend is attributed by business unit, project and developer, so the AI budget stops being a single opaque line item.
New teams and new regions join through a project profile rather than a manual setup project.
TIAC has spent two decades building production systems for financial institutions — complex, regulated, enterprise-grade software, not throwaway MVPs. CAIT.tech encodes how that work actually gets done.
Designed to support EU AI Act and NIST AI RMF requirements from day one — not bolted on after an audit finding forces the question.
We start with a scoped pilot on one team, with your quality gates and your repositories.
CAIT.biz gives every department secure GenAI inside your own cloud tenant — 7 modules ready on day one, live in 4 to 7 weeks.