AI Services · Flagship
One gateway for your AI traffic: governed, measured and capped.
Your applications, agents and scripts reach AI models through one checkpoint in your own cloud account. It screens sensitive data, caps spend by team, scores answer quality and shows where spend can fall.
AI use is spreading faster than anyone can see it
Teams wire models into products, scripts and desktop tools one key at a time. Security can’t see what data leaves, finance can’t see who’s spending, and nobody can say whether the output is any good. In IBM’s 2025 breach study, 97% of organizations with AI-related breaches lacked proper AI access controls. Heavy use of unsanctioned AI added about $670K to the cost of a breach (IBM, 2025).
Buying a policy, a cost dashboard and an evaluation tool separately gives you three partial views and no enforcement. The platform gives you one control point that does all three.
What you get
One door for model traffic
Applications, agents and scripts reach models through one gateway. Cloud access rules deny direct model access in your accounts, and our bypass check lists code and configuration that call a model provider directly. Each team and use case gets its own key and budget.
Sensitive data screened at the door
Layered redaction screens each prompt that passes through the gateway for personal and sensitive data before it leaves your environment. Before go-live, we test it against a labeled sample you approve. The detection rate is reported to you, and the remaining risk is signed off. Where you need it, logs record who called which model and what it cost, not the message itself.
Spend attributed by team, use case, model and key
Dashboards, alerts and hard budgets that stop the work when they run out. Finance sees the bill before it arrives.
Quality you can measure
Your experts define what a good answer looks like. We turn that into a test set of approved answers for each use case and an AI judge checked against human scores. Every night it scores a sample of real output, with the judge’s own model calls governed by the gateway.
Policy that holds
An acceptable-use policy, an approved-tool list and an executive sign-off on the remaining risk. Every rule maps to an enforced control or a signed, written exception.
Savings that help fund it
Prompt caching, cheaper models where they do the job, batch processing, agent loop limits and spend caps. Each change is costed so you can see what it saves.
How you buy it
Governed AI Platform install
8–12 weeks · fixed fee
Governance controls, cost attribution, tracing and the evaluation rubric installed together, with one discovery phase covering both halves. Most of the work is hands-on with your teams, mapping each AI use case to the processes it serves.
Platform operations
capped monthly retainer
Policy, rubrics, budgets and model versions kept current, new AI tools reviewed as they arrive, and cost and quality reported to leadership.
Built on open components, version-pinned and scanned
The gateway is built on the open-source LiteLLM gateway, optionally in front of Amazon Bedrock, and installed with infrastructure-as-code in your cloud account. It routes to Anthropic, OpenAI, Bedrock and open models, so you can change models without changing applications. There’s no dashboard license to buy from us: it runs in your account, documented so your team can run it.
How it runs
1. Start with an assessment or a teardown
A Safe AI Adoption Assessment (2–3 weeks) maps the AI surfaces in use and the controls you need. An AI Cost Teardown (1–2 weeks) finds the savings that help pay for the platform.
2. Install in 8–12 weeks
Governance, cost attribution, tracing and quality scoring go in together, at a fixed fee agreed before the work starts.
3. Operate and improve
A monthly operations service keeps the platform current and reports cost and quality to leadership. Or we hand it over to your team with runbooks.
Built where the data is most sensitive
We designed the governed AI architecture for a healthcare organization working with protected health information.
Built on the gateway we run on
Our own internal AI workloads run through one governed gateway every day.
Every routed call
traced, costed and capped per key, with a live spend gauge
Nightly
an AI judge scores a sample of output against versioned rubrics, stamping rubric and judge version on every score
Blocked by default
a guard stops AI-generated code from calling paid cloud APIs
Questions CIOs and CFOs ask
Does it work with Microsoft Copilot, ChatGPT Enterprise and other SaaS assistants?
The assessment classifies each AI surface it finds as governable through the gateway or not. Anything that calls a model through an API can be routed through the gateway. SaaS assistants that can’t are governed through their own admin controls, access policies and monitoring. For Microsoft Copilot, our Copilot readiness audit fixes oversharing in your Microsoft 365 tenant before rollout. The remaining risk is written down for an executive to accept or reject.
Does this make us compliant?
It gives your compliance program enforced controls and the evidence behind them: access control, redaction, audit trails and spend limits. Your auditors and your compliance team still make the call; we make their job easier.
Is this software we subscribe to?
No. It’s installed in your cloud account. You can run it yourself with our runbooks, or have us run it monthly.
What if we only need one half?
Each half is available on its own: AI Observability & Measurement or Safe AI Adoption & Governance. Most organizations adopting AI at scale need both, and buying them together costs less than two separate projects.
Will you see our data?
Free assessments run on your side, under your credentials. For paid work, you approve in writing exactly what our engineers can access, and your data is not used to train AI models.
Free ways to start
Our Gateway Bypass Check flags the places in your code and configuration that call a model provider directly. Our AI Spend Snapshot shows spend by key and model, and which calls could run on a cheaper model. Both run on your side.
Or book the 30-minute live demo and watch the gateway block personal data and enforce budgets.
See your AI spend, risk and quality in one place.
Book the 30-minute live demo, or list the AI tools and models your teams use and we’ll show what the platform would cover.