A recommendation still needs accountable review.

Who built it

I'm Dan Zimon, Teranode's founder. I spent fourteen years across equity research, trading, capital markets and wealth management before starting Teranode. I hold the Series 7 and 66.

Many advisors already use AI in client work. Self-review is not a separate control, so I built Teranode to give you one: models from other companies review the answer, you make the call, and your decision is recorded.

If your firm is working out how to use AI, I'd like to hear how you're handling it.

Dan on LinkedIn

Dan Zimon is also a New York state-registered investment adviser representative of Camba Capital, LLC, a New York state-registered investment adviser. Teranode and Camba are separate companies.

Built from the failure of the first thesis.

Teranode began by testing whether several specialized models could produce a stronger answer than one capable model. That was not the durable result. More models did not make the system a decision-maker.

The useful structure was separation: distinct reviewers could challenge an answer, preserve exceptions, and make the reasoning available to the person who actually decides. Teranode Review keeps that structure and removes the AI committee from the proposition.

Review the recommendation. Record the human judgment.

Teranode records whether the source is an AI model or a human team. For an AI source, its model vendor is excluded. Four review lenses run across at least three model vendors, their attributed findings remain unresolved by any model, and a human disposition is required for every finding. The result is a timestamped review artifact with a human-entered attestation. Reviewer name and role are supplied by the reviewer or firm, not independently verified by Teranode. The SHA-256 fingerprint is a comparison value, not a digital signature.

Teranode is built for decisions where a second look matters. The same control pattern may apply in other settings, but Teranode does not claim legal, medical, or enterprise deployment today.

Make the controls inspectable and the limits explicit.

The product discloses source and reviewer provenance, preserves limitations, uses deterministic aggregation and guardrails, and stops before the human decision. The implemented method is on Method; data and security boundaries are on Trust and Security.