Official blog · Apr 2025
Launch announcement for Energent.ai as an AI teammate that automates multi-step desktop workflows, highlights Rachel Hu and Kimi Kong, and lists contact and social links.
Public company, workplace, funding, and market signals
Updated Jul 29, 2026
CambioML is the company behind Energent.ai, an AI-powered document automation and autonomous analysis platform focused on extracting structured data from messy documents and automating multi-step desktop workflows for enterprise users, especially in insurance, finance, operations, research, and marketing.
Primary product
Energent.ai / AnyParser — an AI agent and document-extraction platform for desktop workflow automation and structured data extraction
Founded
2023
Headquarters
San Francisco, California, United States (public sources also mention San Jose and Palo Alto in the Bay Area)
Team size
1-10
Industry
Software Development
Sub-industry
AI-powered document automation / intelligent document processing
Offices
0 jobs at CambioML
Check back later for new openings
Business model
Stage
Series A
Total raised
$18M
Latest round
Series A · Jan 2025
Latest amount
$18M
Feb 2025 · Hub71 Access Programme
Jan 2025 · Maverick Ventures
Sep 2023 · Y Combinator
Public hiring material emphasizes bias for action, customer obsession, ownership, invent-and-simplify, and learn-and-be-curious; the company also appears to value rapid iteration, open-source work, and hands-on demos.
Compensation
A public Y Combinator job posting showed $50K-$70K salary plus 0.20%-0.50% equity for a founding cloud infra role; no broader compensation policy was publicly stated.
Pricing
Public evidence points to API / credit-based pricing with a free sandbox or trial; one public repo notes 100 free pages per account and the site advertises free-to-try access, but full pricing is not consistently published across sources.
Differentiators
Technology
Customers
Competitors
Official blog · Apr 2025
Launch announcement for Energent.ai as an AI teammate that automates multi-step desktop workflows, highlights Rachel Hu and Kimi Kong, and lists contact and social links.
Official blog · Feb 2025
Product-focused post showing continued vertical expansion into industrial/operational use cases and demonstrating how the platform is packaged for domain-specific workflows.
Official blog · Jan 2025
Conference/talk recap highlighting technical credibility and the company’s public machine-learning work.
Official blog · Jan 2025
Technical comparison post focused on parsing accuracy and document transformation quality.
Official blog · Nov 2024
Shows a concrete customer/use-case example for the AnyParser product in resume parsing and workflow automation.