Agent layer for SaaS with grounded answers, sandboxed tools, and per-customer isolation
Architecting the AI-Native Enterprise
Stage
Not given
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Founded
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Based in
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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.
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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
Distillery: Operating system for enterprise AI
Weave: Autonomous AI system construction
Context Mesh: Enterprise knowledge structured for AI
Context Views: Enterprise semantic layer for agents
Journey: AI voice layer for digital experiences
Personalization: 1:1 customer engagement at enterprise scale
Capture: Tacit knowledge capture at scale
Canary: Self-improvement for AI systems
Forward-deployed engineers and researchers
EBITDA impact in 6 months
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