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CambioML

AI Teammate to Enable Every Knowledge Worker to Be a Top Performer

Energent.ai turns every knowledge worker into a top performer by pairing them with an AI teammate. We streamline manual workflows without integrations, democratize automation with zero code, and move beyond passive chatbots to deliver real, visible output — all securely within the enterprise environment.
Active Founders
Rachel Hu
Rachel Hu
Founder
Co-founder and CEO of CambioML. Previously Applied Scientist at AWS; Built LLMs and Led open-source ML projects D2L.ai adopted by over 500 universities around the world; AWS senior speaker: talked at AWS re:Invent, Nvidia GTC, KDD, etc..
Company Launches
Energent.ai: Audit — The Fact-Checker for Every AI-Generated Result
See original launch post

Hey everyone! We're Rachel and Kimi, founders of Energent.ai. We're excited (and honestly, a little proud) to introduce our newest feature: Energent Audit.

🚀 TL;DR

Energent Audit is a built-in, independent second opinion for your for every AI-generated results, especially numbers. Ask Energent to "prove it," "double-check that," or "show me where this number came from," and Audit spins up a completely fresh sub-agent — one with zero stake in the original answer — to retrace every number back to its source and hand you a clean HTML report on whether it holds up.

❌ The Problem

AI hallucination hasn't gone away — it's just gotten quieter. It shows up in the reports people care about most: financial analysis, health recommendations, board decks, the numbers real decisions get built on.

We interviewed 150+ users doing serious work with AI, and hallucination came back as their second-biggest concern overall — right after data security and privacy, and ahead of cost, speed, and everything else. The message was clear: people don't just want AI that's fast. They want AI they can stand behind.

🛠️ Our Solution

Meet Energent Audit — an independent audit layer for anything Energent builds for you.

Here's the insight at the heart of it: the agent that wrote an answer is the worst-positioned agent to grade it. So instead of asking Energent to mark its own homework, Audit calls in a brand-new AI sub-agent with no memory of how the analysis was built and no attachment to the outcome. Its only job is to verify.

Independent, every time

A fresh sub-agent re-checks the work with zero investment in the original answer, so nothing gets rubber-stamped.

"The agent that built it doesn't get to grade itself."

Number-by-number validation

Every figure is traced back to its source and re-derived — not glanced at, actually re-verified, one by one.

"Trust, but verify, down to the decimal."

Visual data lineage

A clear map of exactly which file, row, and transformation produced each number — so "where did this come from?" always has an answer.

"Show your work, automatically."

A report you can actually hand someone

Every audit ends in a clean, shareable HTML report you can send to a stakeholder, a boss, or an auditor — or just keep for your own peace of mind.

"Confidence you can forward."

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Audit is purpose-built to check work Energent has already done in your conversation — it's not a general web fact-checker, and it won't review a plan before it's run. It's laser-focused on one question: does this answer, and every number in it, actually hold up?

📖 Why We Built This

The same story came up again and again in our interviews: people loved what AI could do for their analysis, right up until they had to defend a number in a meeting. That gap — between "the AI said so" and "I can prove it" — is exactly what Audit closes. We believe trust in AI shouldn't be something you hope for. It should be one click away.

🎯 Our Ask

👉 Try Energent Audit today at app.energent.ai — run an analysis, then ask us to prove it.

👉 Reach out directly at admin@energent.ai to see it live.

Cheers, The Energent.ai Team ❤️

Previous Launches
turn tons of operational data into real-time operational insights and future revenue
Meet Energent: a Roomba-with-a-PhD for messy data, with its own desktop to turn chaos into clean, cited insights. It ranks at the top of Hugging Face’s Best Data Agent benchmark.
Getting real work done on a real desktop. Visible. Controllable. Secure.
Extract hidden insights from any type of documents without missing details.
Accurately retrieve and transform data from PDFs and forms at ease!
Transform messy multi-modality data to MOE (mixed of experts) LLM/LVM
CambioML
Founded:2023
Batch:Summer 2023
Team Size:3
Status:
Active
Location:San Francisco