CAIT

One platform. Two editions.
Zero loss of control.

CAIT is TIAC's reusable AI platform for regulated industries. One edition governs how software gets built. The other gives your whole organization safe access to leading AI models inside your own cloud. Both keep your data yours.

20+enterprise organizations already using CAIT.biz across highly regulated industries
20 yrsbuilding production software for financial institutions — regulated, enterprise-grade systems
4–7 wkstypical CAIT.biz implementation, setup to client acceptance
7modules ready on day one in CAIT.biz, on a platform any department can build on

Most organizations have AI usage. Few have AI control.

AI adoption is not the hard part anymore. Keeping it governed is.

Data leaves the perimeter

Employees adopt public AI tools faster than IT can govern them. Sensitive documents, client data and internal policies go out through unmanaged consumer accounts.

One vendor decides your roadmap

Standardizing on a single AI provider ties you to one model's quality, pricing and direction, with no practical path to switch as the market shifts.

AI output enters unreviewed

More code, produced faster, with less discipline and no record of how it was built. For systems tied to money, operations, compliance and customer data, that is a liability you inherit.

Knowledge stays siloed

Prompts and patterns live in private chats. Three developers solve the same problem three times — and when one leaves, their work leaves with them.

AI made software feel cheap. For the systems that actually run a business, it didn't.

Customer stories from production

Regulated organizations running CAIT in their own environments — with the numbers they measured.

Case study· CAIT.tech
Immigration Pathways · Software

Immigration Pathways ships up to twice as many features with Claude and CAIT.tech

Twice the feature throughput, with a human approving every single merge.

Up to 2x
features delivered in the same time as before
5 → 3-4 days
from ticket to the release branch
4-6x
less time spent on story and task refinement

Pick your Solution

Same platform underneath. Two very different jobs on top.

CAIT.tech

Governed AI across the software lifecycle

AI agents work across planning, implementation, code review and QA, and a human approves every merge.

  • Agents for planning, implementation, review and QA
  • One platform across Jira, GitHub and your IDE
  • Quality gates and mandatory human approval on every pull request
  • Cost visibility per team, project and developer
For engineering and delivery leaders who need to move faster without losing review discipline or auditability.
Explore CAIT.tech →

CAIT.biz

Secure enterprise AI in your own cloud

Every department gets GenAI inside your own cloud tenant, with your data, identity and models staying under your control.

  • 7 modules ready on day one, plus build-your-own assistants
  • Deployed inside your own cloud tenant — nothing leaves
  • Vendor-independent: swap models as the market moves
  • Live in 4 to 7 weeks
For CIOs, security and business leaders who need the whole company on AI without losing control of data or identity.
Explore CAIT.biz →

What both editions are built on

The editions differ. The foundation does not.

Isolated by design

Each client's data stays strictly isolated. Nothing crosses between clients.

A learning platform, safely

CAIT improves over time using only reviewed, non-confidential knowledge. Your data is never reused to train models.

Domain expertise, not just chat

Reusable vertical modules encode real domain workflows — proven across financial advisory, ETF data management and ESG / CSRD reporting. See our projects →

Trust built in

Human oversight, audit trails and guardrails for regulated, business-critical environments.

The boundary that makes this work

The platform improves over time without ever blurring tenant-private data and platform-owned reusable knowledge.

Tenant

Private memory

Stays isolated. Never leaves your tenant.
  • Project documents and reports
  • Client prompts and outputs
  • Tenant vector collections
  • Project-specific interaction history
  • Sensitive domain artefacts governed by NDA
reviewed
only one-way
Platform

Global reusable knowledge

Reviewed abstractions only. Nothing client-specific.
  • Generalized workflow patterns
  • Reusable schemas and templates
  • Approved evaluation cases
  • Abstracted heuristics and decision rules
  • Non-client-specific domain ontologies

Only reviewed abstractions cross from left to right. Nothing crosses back. This boundary is what makes continuous platform learning safe to productize.

Responsible AI by design, not by disclaimer

People stay in control. AI assists; humans decide.

Humans decide

In CAIT.tech, every high-impact step passes through human approval: no pull request merges without it. The platform assists; it never has final say.

Your data stays yours

Confidential data stays isolated to your tenant and is never used to train models.

Everything is auditable

Activity is logged, answers cite their sources, and decisions leave a record that holds up in review.

Built to a standard

CAIT.tech is designed to support EU AI Act and NIST AI RMF requirements from day one.

Ask us how we keep client data private while the platform keeps improving.