- Specialization
- Data Engineering
- Business
Software Applicationsand 2 more business valuesLess
- Consulting
- Professional Services
- Market
Life Sciencesand 1 more market valuesLess
- Scientific Research
- Ecosystem
- AI for science
- Customers
Researchersand 1 more customers valuesLess
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- AI for science
- Business
- Software Applications, Consulting, Professional Services
- Specialization
- Data Engineering
- Market
- Life Sciences, Scientific Research
- Customers
- Researchers, Enterprises
- Delivery models
- Hosted Software, Professional Services
- Revenue models
- Services Fees
- Listing status
- Not classified
- Latest equity round
- Not classified
- Reported funding amount
- Not classified
About
Metofico builds no-code data-analysis software for life-science researchers and institutions. Its platform handles complex research datasets, including behavioral video, fiber photometry, and other preclinical data, differentiating through accessible interfaces that reduce the need for programming expertise.
Market
Metofico competes in pre-clinical life-science data-analysis software, particularly behavioral video tracking and fiber-photometry analysis. Its positioning is a no-code, SaaS-based alternative to specialist desktop tools and open-source packages, differentiating through an integrated multi-module platform, AI-assisted analysis, and a workflow designed to reduce analyses that traditionally take weeks or months to minutes.
Life-science researchers and research institutions conducting pre-clinical, behavioral, neuroscience, or other data-intensive studies. The primary buyers are likely research leads, laboratory teams, and institutional research groups seeking analysis tools that do not require programming; specific company-size segmentation is not publicly disclosed.
At a Glance
Problem
Metofico addresses a data-analysis bottleneck in preclinical and life-science research. Modern techniques produce datasets that are too large and complex for traditional tools such as Excel, while available analysis software may be missing, unsuitable, or dependent on coding and advanced data-science skills. The economic pain is primarily researcher time and lost scientific opportunity: analyses that can consume weeks or months delay experiments and may cause researchers to miss insights.
The clearest use case is data-intensive preclinical neuroscience, particularly rodent video tracking and fiber-photometry analysis. These workflows combine large behavioral or brain-activity datasets with specialized processing requirements, making them difficult for researchers without programming expertise to analyze efficiently.
Product / Service
Metofico offers an intuitive, no-code SaaS product delivered through an all-in-one online platform with modules for different types of preclinical data analysis. Its TOMB-AI product automatically scores behavior directly from video without preprocessing, keypoint annotation, or polygon detection, and can track multiple subjects in the same setup. Its Fiber Photometry Analyzer supports up to four light channels per animal and provides tools for organizing animals, groups, subgroups, and events.
The intended benefit is to convert complex analysis workflows that previously took weeks or months into processes achievable in minutes, without requiring programming knowledge. The company uses a software-led evaluation model that includes free demos and trials, allowing researchers to test the tools against their own research goals.
Market
Metofico competes in life-science and preclinical research data-analysis software, particularly the emerging no-code SaaS segment serving neuroscience, behavioral tracking, photometry, and related workflows. The market appears fragmented across specialized tools: FiPhA is an open-source interface for analyzing behavioral and fiber-photometry data, DORIC's danseTM is a no-coding fiber-photometry and behavioral-data tool, and Imalytics Preclinical addresses biomedical-image segmentation, reconstruction, visualization, and analysis. These are best viewed as adjacent or workflow-specific alternatives rather than evidence of a single comprehensive direct competitor.
The available evidence indicates an early but active company rather than a scaled software business. Metofico was founded in 2021, joined Y Combinator's Winter 2024 batch, and is listed by YC as an active SaaS company with a two-person team. It has launched TOMB-AI, received a 2026 Science new-products mention, and lists research-publication exposure including Nature Metabolism. However, the evidence does not disclose customer counts, revenue, or user metrics, so it cannot establish that Metofico is pre-revenue; the most supportable characterization is an early-stage company with product-launch and pilot-oriented traction.
Founders & Leadership
Funding History
Eight Capital, Y Combinator
Recent News
Neuronautix lists Metofico among its technology partners. The collaboration connects experimental expertise, expert labels, and scalable AI-assisted behavioral-analysis workflows for preclinical video and signal datasets.
Metofico announced the launch of TOMB-AI, a deterministic AI system for automated behavioral scoring in preclinical research. It can recognize human-annotated behaviors, works with standard recording setups, and provides no-code analysis and export.
Active Roles
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Get notified when they postBusiness Model
Metofico operates primarily as a SaaS software business serving life-science researchers and institutions, using free demos and trials to introduce customers to its products before paid adoption. It also offers related bespoke scientific software, data-analysis, consulting, and other specialized solutions; public sources do not disclose specific pricing tiers.