Kebotix
AI and robotic automation for faster chemicals and materials discovery
About
Kebotix combines AI, machine learning, and a self-driving lab to discover chemicals and materials in months rather than years, partnering with industry and government labs on formulations, coatings, and process optimization. The Cambridge, MA company raised $11.4M in Series A led by Novo Holdings and was named a 2020 Technology Pioneer by the World Economic Forum. Most public coverage dates from 2019–2021, so its current commercial traction is harder to verify — treat it as early-stage despite the strong pedigree.
What it can do
- AI materials discovery
- Self-driving lab
- Formulation optimization
- Process optimization
Setup
- Contact Kebotix with a materials challenge
- Define target properties and constraints
- Co-develop an AI/ML roadmap
- Run closed-loop discovery in the self-driving lab
Prerequisites
Enterprise R&D partnership; no self-serve product
Use cases
Works with
Trust score — 6/10
Scored 6/10 (metrics tier, metrics-v1). Evidence: $11.4M Series A led by Novo Holdings (2019); WEF Technology Pioneer 2020; Most coverage from 2019-2021; current traction hard to verify. License: Commercial proprietary software.
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 4.0/10
- Maintenance · recency, releases, issue load
- 4.0/10
- Openness · license + docs
- 3.0/10
- Manual review · sanity read + red-flag check
- 6.0/10
- · $11.4M Series A led by Novo Holdings (2019)
- · WEF Technology Pioneer 2020
- · Most coverage from 2019-2021; current traction hard to verify
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.