Agent layer for SaaS with grounded answers, sandboxed tools, and per-customer isolation
Member-governed cooperative for AI inference
Stage
Not given
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Founded
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Based in
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Pricing model
Free
Freemium
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.
Dues: sliding scale starting at $5/month. All members receive $15/month credit for chat and API. Additional credits available for purchase; credits never expire and carry over month to month.
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
Web search built into chat
File uploads and document support
OpenAI-compatible developer API
Personal API keys
Encrypted enclave privacy option
100% renewable energy option
Member governance participation
Shared monthly credit allowance
Publicly developed models
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
Member-governed cooperative structure where users help decide the direction and choices
Equal membership with sliding-scale pricing based on ability to pay
Choice of AI models by values including privacy and renewable energy
No data lock-in; members own their data and can cancel anytime
Credits never expire and carry over month to month
Oberik
Inference Cooperative