Monomer Bio offers a software platform that links standard lab instruments into fully automated workcells, providing multi‑day scheduling, well‑level control, and consumable tracking for high‑throughput cell culture and tissue growth. Its AI‑driven monitoring and annotation continuously improve consistency and reduce biological noise, while a responsive UI and centralized data tools enable researchers to design, execute, and analyze experiments with minimal manual oversight.
Funding
$5.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
4OTCFounders
Product
Problem
Biological research labs often rely on manual cell culture and tissue growth processes that are labor‑intensive, prone to variability, and limited by human capacity, leading to inconsistent data and slow experimental cycles.
Solution
Monomer Bio provides a software platform that connects standard laboratory instruments into fully automated workcells, enabling multi‑day scheduling, well‑level control, and consumable tracking. The system continuously monitors cell cultures, captures well history, and uses AI to learn from each experiment, improving consistency and reducing biological noise. Researchers can design and execute protocols through a responsive UI, allowing high‑throughput tissue growth and annotation without constant human oversight. Integrated data analysis tools make historical experiment data readily searchable, supporting faster decision‑making and more reliable scientific outcomes.
Target Audience
Primary customers are biotechnology and pharmaceutical research labs, as well as academic institutions that conduct large‑scale cell culture, organoid, and tissue engineering experiments.
Features
- Automated protocol creation that links existing lab hardware into coordinated workcells
- Multi‑day scheduler with well‑level control and consumable inventory tracking
- Real‑time cell culture monitoring and AI‑driven annotation of complex tissues
- Centralized well history database for easy retrieval and analysis of past experiments
- Responsive UI that adapts to experiment feedback, continuously improving AI models
- Remote monitoring and alerting to ensure consistent culture conditions across sites