ODE

Summary

THUNKER: If you ever had to deal with generations of difficult to interoperate data across formats, systems, jurisdictions, and consumers: ODE.

STATUS: RESEARCH PREVIEW at rel-ode.com

An associative toolset to build flexible and capable data-apps and agent workflows. Associative Context Engine. Ran product 0-1 including MCP surface, API, SDK. Inception to post-launch.

Features

• Augmented intelligence: Inherent data patterns surface without inference
• Auto-associate deterministically: Contextual relationships built from data structure itself
• Fully virtual and self-managed: Build intelligence easily without modifying source systems
• Content-blind operations: Anonymize values while maintaining contextual links
• Total auditability: Trace data fully to its source, even during agentic ops.
• Zero-shot agentic: Optimized tools with low-foot print for easy integration.

Systems

• Data-driven product development
• Custom data-types
• MCP & OpenAPI
• Gitlab CI/CD
• Automated fuzz-testing, benchmarking, auditing suite
• Automated deployment, ux testing,
• Posthog, Vercel, Fly, Sentry, Docker
• All major inference providers as consumers and builders.
• 3rd Party integrations