A
Overview
Autoscience builds AI-driven tools to automate machine learning research and development. Its core product is a virtual AI laboratory where non-human AI scientists ideate, test, and deploy new ML models. The platform uses two main AI systems: one that generates and evaluates algorithmic hypotheses and another that optimizes and ships validated inventions into production.
Work here?Claim your company
Simplify's take
What believers are saying
- General Catalyst led Autoscience's $14 million seed round on March 18, 2026.
- Mira launched January 29, 2026, and Autoscience updated its product pages through October 2026.
- Hiring in San Mateo and Harvard listings show recruiting momentum for research and enterprise deployment.
What critics are saying
- Autoscience still sells an unproven managed service, with no public enterprise customer logos by November 2026.
- Mira's claims rest on self-reported benchmarks and competitions, not audited production revenue.
- Open jobs across research, forward deployment, and project management signal heavy burn before scaling.
What makes Autoscience unique
- Autoscience built Carl, which won ICLR 2025 workshop acceptance and a Kaggle Silver Medal.
- Mira ships model-improvement PRs, not chatbots, targeting verified gains on customer evals.
- Eliot Cowan combines GoogleX, MIT, and Harvard research pedigree with applied ML execution.
Help us improve and share your feedback! Did you find this helpful?
Funding
Notable Investors:
Seed funding is usually the first official round after pre-seed, when a startup has a prototype or concept. It’s typically used to develop the product, test the market, and start building the team. Investors here are often angel investors or early-stage venture capitalists.
Seed Funding Comparison
Industry standards
Ind Avg. $3.3M
$500k
$1.5M
$2M
$2.3M
$3M
$14M