Models on your terms.
Choose customer-cloud deployments or Cerberus-managed inference. Give apps access to shared capacity or dedicated resources.
Your company.
Your data.
Your intelligence.
Build internal AI on open-weight models, connected to the tools your company uses. Choose where it runs. Control what it can access.
Infrastructure for your apps, workflows, and agents.
YOUR COMPANY’S AI STACK01 / PLATFORM
▥Your dashboard
⇄Your workflow
✳Your assistant
cerberus
One infrastructure layer. Your applications.
Company dataApproved connections
Open-weight modelsYour cloud or managed hosting
Your company’s AI infrastructure
01 Your cloud or managed inference02 Access scoped to each app and caller03 Build with APIs and agent frameworks
THE PLATFORM
Keep your expertise.
Choose your models.
The infrastructure between open models and useful company software—so your team can focus on the application.
Your systems. Your permissions.
Connect company applications once. Approve the tools each app can use, with delegated employee access or an authorized automation identity.
More than a chat window.
Use APIs to power your own software. LangGraph and Pydantic AI integrations add optional agent execution, memory, and progress events.
WHAT YOUR TEAM CAN BUILD
AI belongs where
the work happens.
A new capability inside an existing workflow. A better internal tool. An assistant with the right context.
Illustrative application · synthetic content
INTRODUCING BENCHMARK
Don’t just switch models.
Know what gets better.
Turn your team’s real tasks into datasets and repeatable evaluations. Compare quality, latency, and cost before choosing what runs in production.
Discuss Benchmark with us ↗Capture what good looks likeApproved examples and expert corrections.
Test against your workReusable recipes and held-out evaluation datasets.
Compare, improve, repeatA roadmap from failure analysis to fine-tuning.
LET’S BUILD THE RIGHT FIRST WORKFLOW
Bring one task.
Let’s make it concrete.
We’re looking for teams exploring open-weight AI for internal work. Start with a workflow, the systems it needs, and what a good result looks like.