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.
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.
AI adoption is not the hard part anymore. Keeping it governed is.
Employees adopt public AI tools faster than IT can govern them. Sensitive documents, client data and internal policies go out through unmanaged consumer accounts.
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.
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.
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.
Regulated organizations running CAIT in their own environments — with the numbers they measured.
Twice the feature throughput, with a human approving every single merge.
Same platform underneath. Two very different jobs on top.
AI agents work across planning, implementation, code review and QA, and a human approves every merge.
Every department gets GenAI inside your own cloud tenant, with your data, identity and models staying under your control.
The editions differ. The foundation does not.
Each client's data stays strictly isolated. Nothing crosses between clients.
CAIT improves over time using only reviewed, non-confidential knowledge. Your data is never reused to train models.
Reusable vertical modules encode real domain workflows — proven across financial advisory, ETF data management and ESG / CSRD reporting. See our projects →
Human oversight, audit trails and guardrails for regulated, business-critical environments.
The platform improves over time without ever blurring tenant-private data and platform-owned reusable knowledge.
Only reviewed abstractions cross from left to right. Nothing crosses back. This boundary is what makes continuous platform learning safe to productize.
People stay in control. AI assists; 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.
Confidential data stays isolated to your tenant and is never used to train models.
Activity is logged, answers cite their sources, and decisions leave a record that holds up in review.
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.