Atmeto LinkedIn · Mar 2026
The company announced its rebrand from Keeling Labs to Atmeto and said the team, mission, and building plans stay the same.
We develop ML that optimizes how batteries in the grid store energy
Company research
Public company, workplace, funding, and market signals
Updated Jul 30, 2026
Overview
Keeling Labs rebranded to Atmeto. It builds machine-learning / reinforcement-learning software for grid-scale battery optimization and energy trading, helping battery operators decide when to buy and sell power in wholesale electricity markets.
Primary product
Machine-learning software for grid-scale battery optimization and energy trading
Founded
2022
Headquarters
Venice, Los Angeles, CA, USA
Team size
1-10
Work style
Onsite
Industry
Software Development
Sub-industry
Grid-scale battery optimization software
Offices
Venice, Los Angeles, CA, USA
Business model
B2B SaaS
enterprise software
energy trading / optimization software
Funding
Stage
seed
Total raised
$500K
Latest round
Pre-Seed · Apr 2023
Latest amount
$500K
Apr 2023 · Y Combinator
People & investors
Leadership
Founder & CEO
Senior Machine Learning Engineer
Senior Data Engineer
Work & culture
Mission-driven, collaborative, and climate-focused; the company emphasizes a small team of engineers and researchers, in-person whiteboarding/brainstorming, and building software that directly affects real grid infrastructure.
Work style
Onsite
Compensation
A public hiring post for Senior Machine Learning Engineer showed a salary range of $130k-$165k in Venice, CA. No broader company-wide compensation policy is public.
Benefits
health insurance
dental insurance
vision insurance
unlimited PTO
Product & market
Pricing
Not publicly disclosed; appears to be enterprise/B2B software sold to grid-scale battery operators and related market participants.
Differentiators
- —Reinforcement-learning approach that continuously adapts dispatch decisions
- —Designed for grid-scale batteries and CAISO/wholesale market participation
- —Self-learning/self-optimizing energy management instead of fixed rule-based control
- —Live energy-trading pilot and CAISO certification
- —Built by a team with Rivian battery data science and clean-energy backgrounds
Technology
machine learning
reinforcement learning
Python
JAX
Kubernetes
Terraform
Docker
Spring
Customers
grid-scale battery operators
battery owners
asset managers
utilities
independent power producers (IPPs)
renewable energy developers
Competitors
Stem
FlexGen
AutoGrid
Fluence
EnergyToolbase
Wärtsilä
Scale & contact
Estimated revenue
approximately $550K ARR (public estimate); broader third-party ranges place it in the $0-15M band
Estimated monthly visits
721
Traffic estimate as of Jun 2026
Latest news
Atmeto LinkedIn · Jul 2025
Atmeto announced Myrl G. Marmarelis joined as Senior ML Engineer while the company began developing its first reinforcement-learning models for battery optimization.
Jack O'Grady LinkedIn · Mar 2024
Jack O'Grady said the company was scaling after its energy trading pilot in California and hiring a Senior Data Engineer to help expand its grid software.
Atmeto LinkedIn · Dec 2023
The company said it became a certified scheduling coordinator in CAISO, allowing it to buy and sell power in California's electricity market.
Y Combinator · Jan 2023
YC introduced Keeling Labs, describing its reinforcement-learning approach for grid-scale batteries and its goal of maximizing revenue through automated energy management.
Jobs and careers at Keeling Labs
0 jobs at Keeling Labs
No open positions
Check back later for new openings