Identity & Access
Centralized permissions dictating exactly what each agent is allowed to do
Enterprise Agent Systems
As your agent usage scales, we build the shared identity, memory, and tool registries needed to deploy agents securely across your entire organization
Discuss this systemSERVICE SCOPE
When every department starts building their own AI agents, you get shadow AI: scattered credentials, ungoverned data, and no single view. We build the central system that lets your enterprise deploy, monitor, and control agents securely from one place
Deploy · govern · evaluate · observe
SYSTEM COMPOSITION
A common foundation means every agent your company deploys uses the same secure identity, the same approved memory, and the same governance policies, regardless of which team built it
Centralized permissions dictating exactly what each agent is allowed to do
A secure library of internal APIs that approved agents can tap into
Enterprise-wide knowledge bases so agents always have the latest company data
Centralized tracking of LLM usage to prevent budget overruns
WHERE IT FITS
Enterprises with multiple teams experimenting with AI
CTOs needing to rein in 'shadow AI' across the organization
Companies preparing to scale agentic workflows company-wide
PRODUCTION USE CASES
Built a secure gateway for a FinTech company, allowing 5 different internal agent teams to securely query the same sanitized customer database without exposing raw PII
Deployed middleware that tracks LLM usage per department, enforcing hard spend limits and preventing runaway automated processes
DELIVERY MODEL
We audit your scattered AI initiatives and define a central standard.
We build the shared system for memory, tools, and auth.
You gain full visibility and control over every AI action in your company.
DEFINE THE RIGHT SCOPE
We investigate, price the opportunity in your numbers, and define the system around the outcome.
NEXT CAPABILITYCustom Integrations & Deployment