Agent layer for SaaS with grounded answers, sandboxed tools, and per-customer isolation
Shared AI-context layer for teams
Stage
Not given
Startup
Founded
Not given
Not given
Based in
Not given
Not given
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.
Individual: $10/month. Team: $15 per user per month. Enterprise: Custom pricing. All plans start with 14-day free trial.
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
Connect any MCP client
Space-based access control with owner, editor, and viewer roles
Version history on every memory
Per-memory attribution and provenance tracking
Row-level security in Postgres
Topic-based organization within Spaces
Works with Cursor, Claude Code, Copilot, ChatGPT
Priority support on Team and Enterprise plans
Personal and Shared Spaces
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
Tool-agnostic across mixed AI stacks instead of locked to one vendor
Works across teams without copy-paste or re-explaining context
Person-first design where everyone maintains their own knowledge slice
Single-team pricing with no enterprise minimum
Shared control through role-based permissions and governance