We’ll be exhibiting at the Research Innovation Forum, hosted by the University of Manchester, at the end of the month. We’re really looking forward to seeing the latest work from our former colleagues and of course chatting about data analysis in pre-clinical research.

We wanted to share that we’ll be exhibiting at SfN again this year! After such a great experience last year, we’re really looking forward to returning, reconnecting with familiar faces, and having more conversations about behavioral analysis.

From mice to humans: recognition of attack behavior in MMA fights We have a really nice demo to show today, which shows how an AI model we trained on videos of mice generalized to human behavior. See the full post on LinkedIn: www.linkedin.com/feed/update/...

This demo model, trained to recognise chewing and food interaction in chimpanzees, uses the same architecture we’ve already applied to mouse behaviour recognition, showing how TOMB-AI can be used across very different animal models and behaviours.

Reminder: Our next Metofico webinar is tomorrow. Join us for a TOMB-AI demo focused on automated behaviour recognition in non-human primates. See the details via our LinkedIn post: www.linkedin.com/feed/update/...

New TOMB-AI Demo Generalization across angles: attack behavior Check it out: www.linkedin.com/feed/update/...

Quick reminder that we’ll be exhibiting at FENS this July. Come and find us at Booth 108 for live demos and conversations about the latest in behavioural analysis.

Metofico Webinar: TOMB-AI Demo | Automated Behaviour Recognition in Non-Human Primates See the details on our LinkedIn post: www.linkedin.com/feed/update/...

So far, we’ve shared demos of AI models trained to recognize a wide range of behaviors: individual, context-dependent and social. However, TOMB isn’t limited to a fixed set of behaviors. Learn more and see some examples via our LinkedIn post: www.linkedin.com/feed/update/...

Performance comparison: TOMB-AI vs. MARS Last week, we shared demo clips from an AI model trained to recognise attack, investigation, and mounting behaviours using a small subset of the MARS dataset. Check out our LinkedIn post to see how it performed: www.linkedin.com/feed/update/...

TOMB-AI Demo | Social Behavior: Mounting and Investigation See the clip on our LinkedIn post: www.linkedin.com/feed/update/...

TOMB-AI Demo | Social Behaviour: Attack and Investigation Check it out on our LinkedIn post: www.linkedin.com/feed/update/...

Tomorrow at 4:00 PM GMT | Metofico Webinar A reminder that we’ll be hosting our webinar tomorrow on Automated Recognition of Social Behaviors. See the details via our LinkedIn post: www.linkedin.com/feed/update/...

Metofico Webinar | Automated Recognition of Social Behaviors See our LinkedIn post for the details: www.linkedin.com/feed/update/...

New TOMB-AI demo: grooming behavior Check it out via our LinkedIn post: www.linkedin.com/feed/update/...

TOMB-AI: revolutionising behavioural assessment efficiency TOMB-AI doesn’t just deliver repeatable, accurate behavioural recognition, it can also dramatically reduce the time required for analysis. See our LinkedIn post to learn more: www.linkedin.com/feed/update/...

Website Updates We’ve made a few updates to the Metofico website to share more about what we do and the products we’re building. We’ll also be uploading our demos to the website, in addition to here, making it easier to explore our work and see what we’ve been up to. www.metofico.com

Generalization across home-cage datasets: Hanging behavior A follow-up from yesterday: another side-by-side example of what this AI model was trained on vs. how it performs on a new dataset, with no extra training. See the post on LinkedIn: www.linkedin.com/feed/update/...

TOMB-AI demo: generalization across home-cage datasets We tested whether an AI model we trained to recognize mouse behaviors (eating, rearing, hanging, and grooming) could generalize to a new dataset without any additional training. See the demo on LinkedIn: www.linkedin.com/feed/update/...

Metofico Webinar | Automated Behavior Recognition Demo See our LinkedIn post for the details: www.linkedin.com/feed/update/...

TOMB-AI Demo: Grooming Behavior Another example of the flexibility and capability of our automated behavior recognition. Check it out via LinkedIn: www.linkedin.com/feed/update/...

TOMB-AI Demo: Rearing vs. Eating This short example shows why spatial context matters in automated behavior recognition and what sets our AI apart. Check it out via LinkedIn: www.linkedin.com/feed/update/...

TOMB-AI Featured in Science TOMB-AI (Tracking of Objects Movement and Behavior), our software for multi-subject tracking and automated behavior recognition, has been selected for a feature in the latest edition of Science (New Products: AI/Automation). www.science.org/doi/10.1126/...

Quick reminder: our next webinar is this Friday Join us for a live demo of TOMB-AI, where we’ll be showcasing an AI model trained to recognise key behaviours including hanging, rearing, grooming, and sniffing. Details on LinkedIn: www.linkedin.com/feed/update/...

TOMB-AI featured in Science Our module TOMB-AI (Tracking of Object Movement and Behaviors), for multi-subject tracking and automated behavior recognition, will appear in the New Products section of the February 12, 2026 issue of Science (AI / automation).

TOMB-AI Demo: Rearing Behavior Here’s a short demo of rearing behavior in a C57BL/6 mouse.

TOMB-AI: Automated detection of freezing behavior in mice Check out the demo on LinkedIn: www.linkedin.com/feed/update/...

TOMB-AI Demo: Automated Recognition of Grooming, Freezing & Sniffing Behaviours www.linkedin.com/feed/update/...

TOMB-AI Demo: Automated Recognition of Freezing Behavior Here’s an example of accurate freezing-behavior recognition in a non-typical setup. Our AI can be trained to recognize virtually any behavior, in any environment, only using annotated video data.

TOMB-AI Demo: Robust Tracking at any Angle Our AI is built to be flexible in the data it can handle. This demo shows smooth, marker-free tracking of two C57BL/6 mice in the same arena, filmed with an infrared camera at an angle.

Metofico Webinar Join us for a live demo of TOMB-AI’s automated behavior recognition pipeline, showcasing an AI model trained to detect multiple behaviors from a side-view perspective. See our LinkedIn post for more details: www.linkedin.com/feed/update/...

Quick TOMB-AI demo: multi-subject tracking Accurate, marker-free tracking of two C57BL/6 mice in the same arena, captured with an infrared camera and delivering reliable performance even in challenging conditions.

It’s still a few months away, but we’re excited to share that we’ll be attending FENS this year. We’ve been very selective with our 2026 conference schedule, so if you’re attending and would like to meet the team in person and see live demos of our software, this is a great opportunity to connect.

Feature highlight: Track plot smoothing Read about how track plot smoothing can have a significant impact on the accuracy of key tracking metrics: www.linkedin.com/feed/update/...

Quick reminder! Tomorrow we’re going live with our webinar: Automated, Marker-Free, Multi-Subject Tracking See out LinkedIn post for details: www.linkedin.com/feed/update/...

Metofico Webinar: Automated, Marker-Free, Multi-Subject Tracking We're hosting our next webinar Friday 9th of January 12:00-12:30pm (GMT). Google meet link in comments. Learn more: www.linkedin.com/feed/update/...

At Metofico, we are actively working to enhance transparency in behavioral scoring. Learn more in our recent LinkedIn post: www.linkedin.com/feed/update/...

Key-point tracking has become the go-to method for automated behavior scoring, but it comes with major limitations. Learn more: www.linkedin.com/posts/metofi...

After the holiday season, we’ll be returning with our next webinar, focused on our automated, marker-free, multi-subject tracking pipeline. See our LinkedIn post for the details: www.linkedin.com/feed/update/...

At Metofico, one of our core goals is to make high quality data analysis genuinely accessible to everyone, regardless of coding or data-science expertise. Learn why accessibility is a major issue in pre-clinical data analysis and what we're doing to improve it. www.linkedin.com/posts/metofi...

At Metofico, user feedback isn’t just appreciated; it’s core to how we build our platform. Learn more: www.linkedin.com/feed/update/...

In pre-clinical research, animal tracking is often treated as if it were a direct measure of behavior. At Metofico, we treat tracking and true behavior as fundamentally different constructs. Learn why and how we do this: www.linkedin.com/feed/update/...

Metofico's TOMB-AI enables hardware-agnostic automated behavior recognition. Compatible with any camera, any angle, any set-up. Learn more: www.linkedin.com/feed/update/...

Repeatability is a long-standing challenge across the life sciences, and it can become especially difficult to achieve in behavioral scoring. Explore how Metofico's TOMB-AI is addressing this issue: www.linkedin.com/feed/update/...

Metofico is Promoting Reliability in Life Science Data Analysis Read our LinkedIn post to find out more: www.linkedin.com/feed/update/...

Explore how Metofico is driving Efficiency in Data Analysis for Life Science Research: www.linkedin.com/feed/update/...

At Metofico we’re developing a new study system to make managing large, complex pre-clinical datasets effortless, no coding needed. Find out more: www.linkedin.com/feed/update/...

Many tracking solutions struggle with flexibility. Our solution TOMB-AI represents a robust, adaptable evolution in animal tracking technology, enabling reliable monitoring in realistic and diverse experimental setups without the usual constraints. Learn more: www.linkedin.com/feed/update/...

Trusting AI results can be difficult, especially when it comes to data analysis. With TOMB-AI, our automated behaviour recognition and animal tracking module, we’ve taken a different approach. Learn more: www.linkedin.com/feed/update/...

Learn how Metofico Supports the 3Rs: Replacement, Reduction, and Refinement. www.linkedin.com/feed/update/...