Looking for an enterprise AI alternative almost always lands in the same category: AI search over connectors. Glean, Hebbia, Dust, and Onyx are good examples, each with its own strength — connectors, document analysis, agents, open source. They’re legitimate answers to “where’s the information?”.
Redijo answers a different question: “where did that number come from?” It’s a different category — not AI search, but auditability by construction.
What changes category
- Glean — a broad connector catalog, strong search, but no public pricing.
- Hebbia — analysis of large document sets, with traction in finance and legal; enterprise pricing.
- Dust — customizable agents with open source and published pricing.
- Onyx — open-source, self-hostable AI search; you operate the infrastructure.
- Redijo — every number traces to its source, and permission holds at synthesis time.
Auditable by construction
In Redijo, calculation and comparison are deterministic, kept off the AI’s path. The proof is born with the answer: every figure already carries its source file, tab, and range. You review, you don’t trust.
Permission at synthesis time
Redijo enforces each fragment’s permission the instant the answer is composed. Anything outside your access never enters — not even aggregated inside a total. That control, at synthesis time, is our moat.
You can also bring your own AI through an MCP server, with permissions and an audit trail. Your files are hosted with international-transfer safeguards.