Agent layer for SaaS with grounded answers, sandboxed tools, and per-customer isolation
Stage
Growing
Not given
Founded
Not given
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Based in
Not given
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Pricing model
Freemium
Free
Pricing
Not given
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.
Key features
Long-term memory for AI agents
Automatic fact extraction and reconciliation
Curated recall retrieval
Raw vector search capability
Model Context Protocol integration
Regional data residency
End-to-end encryption
Right to erasure
Bring-your-own-key model support
Recalld Chat assistant
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
What makes it different
Curated recall uses 6.7× fewer tokens than raw search while maintaining accuracy
Automatic fact updating and reconciliation without manual deduplication pipelines
Verified on open benchmark maintained by independent company
Native MCP server requiring no SDK or glue code
GDPR-compliant by design with transparent data handling
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
Oberik