Superintelligence Labs
To democratize advanced machine learning by providing a system that thinks like world-class ML engineers.
At a Glance
- Enterprise
- SaaS Companies
- AI Startups
AI Tools by Superintelligence Labs
(1)
Jarmin
AI ML Engineering Service
Discussions
No discussions yet
Be the first to start a discussion about Superintelligence Labs
Latest News
Meta unveils Muse Spark, the first AI model from its Superintelligence team (previous team of Jarmin founders).
Meta Superintelligence Labs acquires Manus AI for over $2B.
Jarmin.ai launches autonomous ML engineer service.
Jarmin joins Y Combinator's Fall 2025 cohort.
Products & Services
A 24/7 autonomous machine learning engineer 'employee' that handles AI/ML tasks, decomposes ambiguous requirements, and delivers production-ready pipelines.
Market Position
Positions itself as a cost-effective, 24/7 autonomous 'employee' that provides the expertise of world-class ML engineers at a fraction of the cost of a full-time hire.
Leadership
Founders
Chalmers Brown
Co-founder. Previously a Staff Engineer at Meta Superintelligence Labs. He has also served as CTO of several startups, including FoodHealth, and was a researcher at Sky Computing.
Zack Leman
Co-founder and CTO. Previously a Staff Engineer at Meta Superintelligence Labs. Education: Bowdoin College. Technical leader with experience in building AI agents and LLM infrastructure.
Shirsendu (Shir) Halder
Co-founder. Previously a Machine Learning Engineer at Apple and Meta.
Executive Team
Chalmers Brown
Co-founder
Ex-Meta Staff Engineer, Serial CTO.
Zack Leman
Co-founder and CTO
Ex-Meta Staff Engineer, Technical Lead.
Board of Directors
Founding Story
Founded by engineers from Meta Superintelligence Labs who saw the need for a 24/7 autonomous machine learning engineer to help companies build and deploy AI/ML systems efficiently.
Business Model
Revenue Model
Subscription-based model where companies 'hire' Jarmin as a 24/7 machine learning engineer employee.
Pricing Tiers
Includes 24/7 access to machine learning engineers, custom model development, and deployment.
Target Markets
- Enterprise
- SaaS Companies
- AI Startups
- Automating machine learning engineering tasks
- Deploying production-ready AI features
- Replacing or supplementing internal ML engineering teams
- Stealth AI startups
- Early-stage tech companies