Enterprise AI Infrastructure
The data plane for enterprise AI agents.
The secure runtime where your agents touch real data, systems, and tools — in production, on your infrastructure.
The problem
Most agents never make it to production.
Pilots look promising. Production breaks them. The gap is not the model — it is everything the model touches.
- 5–11%
of enterprise AI pilots reach production. The execution layer — not the model — is the blocker.
- Ungoverned
Tool invocations bypass every security control you have. Agents call APIs, write files, query databases — with no audit trail.
- Locked in
Every point integration wires your agents to a vendor. Swap the model, lose the integrations. Your data, your logs, their infrastructure.
What the data plane is
A governed execution layer between your agents and the real world.
The data plane is the substrate your agents run on — not the model, not the UI. It is the layer that handles every tool call, enforces every policy, routes every request, and records every action. Without it, agents are powerful but ungoverned. With it, they are production-ready.
Capabilities
Built for agents that act in production.
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Secure by default
Zero-trust at every tool invocation. RBAC, full audit trail, no agent touches a system without a policy decision.
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Production-ready
Durable runtime with retries, circuit breakers, and recovery. Your agents keep running when the world is imperfect.
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Scales with you
One agent or ten thousand. The execution substrate grows without re-architecture.
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On your infrastructure
Self-hosted. Your data, your models, your logs — all stay on your stack. No lock-in, no egress, no surprises.
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Governed & observable
Cost per agent, latency per tool, policy violations per run. Governance is built in, not bolted on.
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Knowledge-aware
Retrieval grounded in your data. Agents reason over your documents, schemas, and context — not generic hallucinations.
How we work
From first call to running in production.
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Assess
We map your current agent landscape, identify the execution gaps, and define what production-ready looks like for your stack and compliance requirements.
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Deploy
We implement the data plane on your infrastructure — integrating with your existing tools, identity providers, and data sources.
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Operate
We stay in the loop. Ongoing support, policy tuning, observability dashboards, and capability expansions as your agent fleet grows.
Why it holds
Built on a security-first, self-hosted architecture.
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Security posture
Zero-trust network model, encrypted at rest and in transit, RBAC with least-privilege defaults, full audit log per tool invocation.
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Self-hosted
Runs on your Kubernetes cluster. No vendor cloud, no shared tenancy, no data leaving your perimeter.
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Production-tested
Battle-hardened on real enterprise workloads. Not a research project — an operational substrate with runbooks and SLOs.
Ready to close the pilot-to-production gap?
Tell us what you are building. We will show you where the data plane fits.