Agent layer for SaaS with grounded answers, sandboxed tools, and per-customer isolation
Trusted autonomy for industrial operations built on machine teaching
Stage
Not given
Not given
Founded
Not given
Not given
Based in
Not given
US
Pricing model
Free
Contact for pricing
Pricing
Free during launch period. Customers pay their LLM provider directly for model usage at provider rates; Oberik does not markup or resell tokens. No credit card required, no usage meters tracked by Oberik itself.
Not given
Key features
Document-grounded answers with page and quote citations
Linux sandbox environment for agent execution
Per-customer cost tracking and billing
Memory and wiki persistence across sessions
Scheduled and recurring work with durability
Capability-scoped JWT tokens enforced per-request
Support for custom tools and MCP servers
Multi-model support with bring-your-own-keys
Server-side prompt injection and PII screening
SSH dashboard interface for programmatic configuration
60+ tools for data to autonomy
CLI and API access
MCP server for autonomous coding agents
Flexible compute deployment on cloud, on-premises, or edge
Dedicated supercomputer cluster infrastructure
12-week deployment timeline
What makes it different
Hard isolation between customers with no shared state or tenant leakage
Citations with document, page and quote provided automatically with every answer
Only two API calls needed to integrate grounded AI into any SaaS product
Customers never charged by Oberik; direct billing from their own LLM provider keys
Built on machine teaching methodology for systems that learn from human expertise
Proven ROI with documented industrial results up to $1.7M per year
Data never leaves your walls with on-premises deployment options
No-code platform for enterprise deployment without extensive technical expertise
Oberik
AMESA