Agent layer for SaaS with grounded answers, sandboxed tools, and per-customer isolation
Marketplace and runtime for headless, agent-first apps
Stage
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Founded
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Based in
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Pricing model
Free
Open source
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.
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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
Install agent-first apps without graphical interface
Connect via MCP or REST protocols
Browse and install from marketplace
Run apps locally on your server or computer
Share app results between connected agents
Build custom apps using Python, JavaScript or containers
Test improvements before reusing apps
Keep apps private or publish to marketplace
Optional runner to track tasks without model API agent
Linux x86-64 and ARM64 support
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
Data stays in your own environment
Add tools without changing agent harness
Multiple agents share results in same collection
Agents can create tools by automating repeated work
Oberik
Rhyven