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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: The Most Accurate AI Agent for Data Analysis
See original launch post

Hey everyone! We're Rachel and Kimi, founders of CambioML. We are excited to introduce Energent.ai Data Specialist.

🚀 TL;DR

Energent.ai — 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.

https://youtu.be/Svh5jWogIIg

❌ The Problem

Most businesses can’t afford a full data team, yet they’re drowning in scattered spreadsheets, PDFs, and ad-hoc reports. Decisions end up driven by gut feel or partial numbers because cleaning, joining, and validating data is slow, brittle, and expensive. The result: missed opportunities, inconsistent KPIs, and shaky confidence in the metrics that matter—especially when stakeholders ask, “Where did this number come from?”

🛠️ Our Solution

Energent.ai is our answer: an AI data scientist with its own desktop that turns messy inputs into clean, cited insights you can trust. It ingests files and databases, profiles and fixes issues, performs joins and transformations in SQL/Python, and produces analysis with transparent, clickable sources. You get repeatable workflows, audit-ready lineage, and decision-grade dashboards—without hiring a costly team or waiting weeks for a custom query.

The most accurate data agent

  • Rank No.1 on the Huggingface Data Agent leaderboard.

  • 30% more accurate than the second best data agent from Google, and 4x more accurate than vanilla OpenAI’s agents.

Real-time visibility & control

  • Transparent operations with real-time status visibility.
  • Easy intervention and clear workflow controls.
  • “Stay in the loop, stay in control.”

Works across desktop common apps

  • Puts advanced automation in everyone’s hands, regardless of technical level.
  • Increases productivity and agility team-wide.
  • “Automation without learning a new app.”

Private and secure virtual machine access

  • Gives full control of sensitive data usage and storage, ensuring data stays secure and private.
  • Provides transparency on how data is handled, promoting user trust and compliance.
  • “Your data protected, your privacy respected.”

🧑‍🏫 Meet Our Team:

  • Rachel Hu, CEO: Former LLM scientist at AWS AI, UC Berkeley alum, Forbes 30 Under 30.
  • Kimi Kong, CTO: Former Google DeepMind, Microsoft & AWS research engineer; Stanford alum.

📖 Our Story

We saw firsthand that while AI has gotten smarter, it's still too passive—and rarely built to do real data analysis . Energent.ai was born to change that.

With Energent.ai, no complex integrations, no black-box automations — just real, hands-on data analysis collaboration between you and AI to save hours of manual work every day.

🎯 Our Ask:

👉 Get your AI Teammate at https://app.energent.ai/ today!

👉 Reach out directly at admin@energent.ai to schedule a call.

Cheers,
The Energent.ai Team ❤️

Previous Launches
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
Jobs at CambioML
AE / Remote
$50K - $70K
0.20% - 0.50%
3+ years
AE / Remote
$50K - $70K
0.25% - 1.00%
3+ years
AE / Remote
$50K - $70K
0.20% - 0.50%
3+ years
CambioML
Founded:2023
Batch:Summer 2023
Team Size:3
Status:
Active