Move with confidence.

One governed route to every eligible AI model, wherever work happens.

Measured results

Measured benchmark results by routing method
Method	Mean quality	Quality retained	Model replay cost	Selector cost	Savings	Router p50 / p95
Always highest-cost reference	0.750	100.0%	$0.9283	$0.000000	0.0%	0.00 / 0.00 ms
S1 rules	0.750	100.0%	$0.9283	$0.000000	0.0%	0.01 / 0.01 ms
S2 tuned	0.741	98.8%	$0.7486	$0.000000	19.4%	2.26 / 2.47 ms
A2 tuned	0.750	100.0%	$0.9283	$0.000000	0.0%	0.33 / 0.36 ms
Compact ranker	0.647	86.2%	$0.6276	$0.000000	32.4%	0.03 / 0.04 ms
Hybrid, no A3	0.752	100.2%	$0.8801	$0.000000	5.2%	2.71 / 2.92 ms
Not Diamond, cost tradeoff	0.630	83.9%	$0.8643	$0.001537	6.7%	217.64 / 603.94 ms

Enterprise AI adoption is fragmented.

Separate chat products, browser tools, coding agents, and model APIs leave every team with different access, policies, logs, and costs.

Which employees and applications are using AI?

What information reaches which provider?

Which eligible model should handle each request?

Is AI spend producing useful work?

Large technology companies integrate AI into existing work surfaces, connect it to company context and controls, and improve it from observed outcomes. TrustAI packages that operating pattern for enterprises that cannot build and maintain the whole stack themselves.

How TrustAI unlocks governed AI adoption

A governed route creates the confidence infrastructure organizations need to adopt AI without losing control.

Employees and applications use one governed API, chat, CLI, and browser layer.

The control plane applies identity, data, retention, region, budget, and provider policies.

One OpenAI-compatible gateway reaches every provider and model the organization allows.

The best eligible route is selected for quality, cost, latency, reliability, and policy.

Feedback, retries, edits, and tool outcomes improve future routes without requiring maximum surveillance.

One governed route to every eligible model.

Every enterprise should have a private, provider-neutral AI service that continuously selects the best eligible models and techniques for the organization.

Control without hidden surveillance.

Visibility by choice

Collect only what serves the organization.

Choose metadata only, privacy-preserving derived signals, disclosed content retention, or no retention. Employees remain in control and every intervention stays reviewable.

Deployment by need

Managed or isolated.

Use TrustAI's managed service or dedicated infrastructure with customer-owned keys, private networking, regional processing, separate data stores, and zero-content-retention options.

One service, wherever work happens.

01 / CLI

Evaluate in the terminal

Compare eligible routes against real workloads, policies, quality, cost, and latency.

02 / Chat

Collaborate securely

Give teams one private workspace with policy-aware routing and visible traces.

03 / Auto

Intervene in context

Surface useful actions inside existing tools and preserve human approval.