Explore TrustAI

Move with confidence.

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

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.

1

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

2

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

3

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

4

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

5

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.

Evidence, with its boundaries visible.

Adoption · survey75%

AI use was already widespread.

Microsoft and LinkedIn reported that 75% of surveyed knowledge workers used AI at work in 2024.

Work Trend Index 2024 · self-reported survey
Shadow use · survey78%

Most users brought their own tools.

Among respondents using AI at work, 78% said they brought their own AI tools rather than relying only on company-provided systems.

Work Trend Index 2024 · denominator is AI users
Routing · benchmark35–85%+

Routing has demonstrated economic potential.

RouteLLM reduced benchmark costs by 35% to more than 85% while targeting 95% of GPT-4's measured performance.

RouteLLM · benchmark result, not TrustAI or production-spend savings

Surveys are not observed behavior, vendor telemetry is not a universal population, and benchmarks are not production workloads. TrustAI will report avoidable spend only after measuring the least expensive eligible route that satisfies an agreed quality threshold on customer-relevant work.