AI that clears your security and governance bar
In a larger organization, the model is the easy part. Getting AI approved and deployed means satisfying security review, data governance, access control and audit requirements — and building so it holds up under real load across teams.
We build with those constraints as first-class requirements, not afterthoughts. That means clear data boundaries, role-based access, audit logging, and documentation your risk and compliance teams can actually sign off on.
- Role-based access control and least-privilege data access
- Audit logging of decisions, prompts and actions for traceability
- Data-handling boundaries aligned to your governance policies
- SSO and integration with your existing identity provider
- Documentation and controls mapped to your compliance framework
- Human-in-the-loop for consequential or regulated decisions
Scale, reliability and cost control
Enterprise usage is spiky and large. We architect for concurrency, latency targets and predictable cost — with caching, right-sized models and rate controls — so the system stays fast and the bill stays sane as adoption grows.
We instrument everything so you can see usage, cost and quality by team, and we build for graceful degradation so one dependency failing doesn't take the feature down.
- Architected for concurrency, latency SLAs and high volume
- Cost monitoring and controls broken down by team or use-case
- Caching and model right-sizing to keep spend predictable
- Monitoring, alerting and drift detection in production
- Fallbacks and graceful degradation for dependency failures
Deployed where your data needs to live
Some enterprise data can use hosted models; some can't leave your environment. We deploy accordingly — in your cloud, your VPC, or fully self-hosted with open models — and design so you aren't locked to a single vendor.
We work alongside your IT, security and platform teams rather than around them, and hand over a system they can own and operate.
- Deployment in your cloud, VPC, or fully self-hosted
- Vendor-flexible design to avoid single-provider lock-in
- Built to run within your existing platform and CI/CD
- Knowledge transfer so your teams can operate and extend it
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Frequently asked questions
Can you keep our data out of third-party model training?
Yes, and that's usually a hard requirement we design to. We use deployment options and provider terms that keep your data from being used for training, and where the data can't leave your walls at all, we run open models on infrastructure you control. We'll document exactly how data flows so your compliance team can verify it.
Will this work with our existing security and identity stack?
That's the intent. We integrate with your SSO/identity provider, apply role-based access, log for audit, and fit into your existing cloud and deployment pipelines rather than standing up a parallel system your security team has to separately vet.
How do you handle governance and accountability for AI decisions?
We log what the system did and why, keep humans in the loop for consequential actions, and provide documentation mapped to your governance requirements. AI assists and accelerates — it doesn't make unaccountable decisions on your behalf, and we build it so a person can always review and override.