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Most AI tools find your data. Rutabaga understands it.

Built for organizations where the answer depends on who, what, when, and how things have changed. A platform that finally thinks the way your best analysts do.

Learn more The TEAL framework

Most platforms store data.
Rutabaga models it.

Business users don't need another database. They need a way to understand how knowledge connects, how it has changed, and where it came from.

Rutabaga sits above your infrastructure and gives you a unified, intelligent interface for the relationships, timelines, and evidence behind your data — so people can reason about it, not just query it.

See how TEAL works
Rutabaga interface

Four dimensions of knowledge

Rutabaga is built on TEAL, a framework for treating knowledge as temporal, evolving, agentic, and ledger-based. Every insight carries its time, its provenance, and a path an agent can traverse.

T · Temporal

Time is a first-class dimension of the graph. Facts have valid-from and valid-to windows, so the system can trace what was true, not just what is true.

E · Evolving

Knowledge isn't static. New evidence supersedes old facts without deleting history, and confidence and evidence quality move with the model.

A · Agentic

The graph is designed for agent reasoning. Agents traverse causality, context, and decision pathways — they don't just retrieve passages of text.

L · Ledger

Every fact, relationship, and inference has a traceable source. Insights can be audited back to their origin — critical for enterprise trust.

Not another dashboard. Not another RAG.

Rutabaga is positioned above infrastructure and below the people who need to make sense of it. It is not a database, not a BI tool, and not flat retrieval dressed up as AI.

  • vs. Traditional BI

    Dashboards tell you what the numbers are. Rutabaga helps you reason about why and how knowledge connects — across systems, over time.

  • vs. RAG systems

    Traditional RAG retrieves chunks of text by vector similarity. TEAL grounds reasoning in a semantic graph with traceable provenance, so answers stand on structure, not just resemblance.

  • vs. Knowledge graphs

    Most knowledge graphs are built for database engineers. Rutabaga is designed for business users, with AI-assisted navigation over a principled, Spradley-grounded ontology.

  • vs. Agent memory systems

    Many systems apply cognitive decay to facts. TEAL separates episodic memory (which can decay) from factual knowledge (which is superseded with traceable history). Facts don't forget — they get updated.

Knowledge graph visualization
Currently in private beta

Interested in how Rutabaga could fit your organization?

We're working with a small group of early partners. If the framework resonates, we'd love to hear from you.

Get in touch