Hebbia does one hard thing well: analysing many documents at once, at scale, with strength in finance and legal. If you need to comb a large set of files for an answer, it is a serious tool.
Redijo starts from a different question. It isn’t enough for the answer to sound right — it has to carry its proof. Every number and every citation in Redijo traces back to the file, the page and the range behind it. The difference isn’t reading horsepower; it’s who carries the burden of proof.
Auditable by construction
In Redijo the proof is born with the answer, not after it. Calculation and comparison are deterministic, kept off the AI’s path — the model drafts the prose, but the figure comes from a path you can re-run and check. You don’t trust the summary; you review the source behind each claim.
Permission at synthesis time
Redijo checks 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.
Where Hebbia has the edge
In fairness: for structured analysis of large document sets, especially in finance and legal, Hebbia has focus and traction. Redijo starts from the files you already have and aims at the recurring management report — close, margin, cash — where recurrence and per-number citation matter more than mass document sweeps.
You can check pricing without talking to sales: Redijo publishes its plans openly, with no per-user charge, and importing documents is always free. Your files are hosted with international-transfer safeguards.