Agent layer for SaaS with grounded answers, sandboxed tools, and per-customer isolation
Accessibility auditing tools for AI agents
Stage
Not given
MVP
Founded
Not given
Not given
Based in
Not given
CA
Pricing model
Free
Free
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.
Not given
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
Axe-core automated accessibility scans with violation counts and per-rule details
Page structure review including landmarks, headings and nested lists
Tab and focus order analysis with tabindex flag detection
Image and alt text inventory
WCAG 2.2 color contrast checking
Browser control for navigating dynamic content
Session-based auditing with action logging
Integration with Claude, opencode and other MCP clients
Local execution with no data transmission
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
Runs locally on your machine without requiring an account or API key
Works with any MCP client including Claude Desktop and opencode
Provides comprehensive accessibility auditing through axe-core integration
Includes explicit audit workflow guidance for consistent evaluation
Drives a real Chromium browser for accurate testing of dynamic content
Oberik