LinkedIn · Jul 2026
Metofico showed TOMB-AI generalizing rearing detection from mouse training data to rat footage, reinforcing its cross-species behavior-recognition claims.
No Code Data Analysis for Life Science Research
Public company, workplace, funding, and market signals
Updated Jul 29, 2026
Metofico is a 2021-founded London-based life-science software company building no-code, pre-clinical data analysis tools for researchers, with flagship modules for automated animal-behavior recognition (TOMB-AI) and fiber photometry analysis (FPA).
Primary product
No-code pre-clinical data analysis platform (TOMB-AI and FPA modules)
Founded
2021
Headquarters
London, United Kingdom
Team size
1-10
Industry
Biotechnology Research
Sub-industry
Life science data analysis software
Offices
0 jobs at Metofico
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Business model
Stage
pre-seed (convertible note)
Total raised
$500K
Latest round
Convertible Note · Apr 2024
Latest amount
$500K
Apr 2024
Leadership
Co-Founder and CEO
Co-Founder and CTO
Scientific Relations Manager
Investors
Scientist-led, research-centric, and feedback-driven; the company emphasizes intuitive no-code tools, close collaboration with collaborators, and rapid iteration on product features.
Pricing
Not publicly disclosed; demo/trial-led, quote-based direct sales.
Differentiators
Technology
Customers
LinkedIn · Jul 2026
Metofico showed TOMB-AI generalizing rearing detection from mouse training data to rat footage, reinforcing its cross-species behavior-recognition claims.
LinkedIn · Jul 2026
Metofico announced its presence at FENS 2026, indicating active outreach to the neuroscience research community.
LinkedIn · Jun 2026
Metofico announced a webinar on a prototype AI model for detecting sleep in mice from video, built in collaboration with Dr Bryn Owen’s lab at Imperial College London.
Nature Metabolism / DOI · May 2026
A 2026 Nature Metabolism paper involving Mehdi Boutagouga Boudjadja added to Metofico's publications profile and supports the team’s neuroscience credibility.
LinkedIn · Feb 2026
Metofico said its TOMB-AI module was selected for the New Products section of Science (AI/automation), highlighting automated behavior recognition and multi-subject tracking.