InstaDeep

InstaDeep offers a host of Enterprise AI products, ranging from GPU-accelerated insights to self-learning decision making systems.

[InstaDeep @instadeepai]

🎙️ The latest episode of Let's Talk Research is now live!

We speak with @sacosta_gut and Leon Wehrhan about MLIPAudit, our open benchmarking suite for MLIP models.

Learn what rigorous benchmarking reveals about reliability, and what trustworthy molecular simulation really means.

[InstaDeep @instadeepai]

🔗 Get access to issue 03 now: https://t.co/64c1UXCmmE

[InstaDeep @instadeepai]

"Research would come to us with something brilliant. And then we'd come back to reality and realise we couldn't actually use it."

@ThomasLecat, Head of Growth at InstaDeep

Moving from a lab breakthrough to a real-world product is one of the defining challenges of industrial AI. 🧵

[InstaDeep @instadeepai]

In Decisive Agents 03: The PCB Issue, we go deep on how InstaDeep is applying reinforcement learning to some of industry's hardest optimisation problems — from routing trains across live networks to designing printed circuit boards with AI. ⚡

[InstaDeep @instadeepai]

Brilliant conversations, brilliant energy. Thanks to everyone who came to meet us there, it's exactly these exchanges that remind us why moving decision-making AI from research to real-world impact matters. 🙌

Missed meeting our team? Get in touch here: https://t.co/bDBIH65oZm

[InstaDeep @instadeepai]

That's a wrap on Deep Tech Momentum 2026! 🇩🇪

Berlin delivered, we met brilliant industry leaders shaping the AI of tomorrow. Thank you to everyone who stopped by our Booth! #DTM26

[InstaDeep @instadeepai]

Check it out👇
⚛️ Explore MLPAudit → https://t.co/fXV21tYoYl
🎧 Spotify → https://t.co/a7PkgxvC4C
🍎 Apple Podcasts → https://t.co/Z539YygSMo
👀 YouTube → https://t.co/itvptMNgHx
🧱 @pypi: pip install mlipaudit: https://t.co/dM7uWcBL5j

[InstaDeep @instadeepai]

Don't miss Episode 9 of Let's Talk Research!
Catch up now with @sacosta_gut and Leon Wehrhan as they break down MLIPAudit, InstaDeep's benchmark suite for evaluating Machine Learning Interatomic Potentials, so you can be confident on which model works best for your application.

[InstaDeep @instadeepai]

Our team had a fantastic three days learning about recent breakthroughs across cellular therapies, novel targets, emerging tools, and more. Thank you CIMT for having us! 🚀

If you're interested in reading the full posters, comment 'poster' below and we'll send you the PDFs!

📄Explore our related work: https://t.co/AgzZ2iWS4H

[InstaDeep @instadeepai]

InstaDeep was honoured to present three posters at #CIMT2026 in Mainz, Germany, Europe's largest event focused on cancer immunotherapy research and development 🧵

[InstaDeep @instadeepai]

- Expands the explorable immunopeptidome
- Enables database-free exploration of candidate cancer antigens
- Distinguishes spectral signatures between mutated and healthy cells

[InstaDeep @instadeepai]

✍️Thanks to our contributing authors: Christoph Brunken, Titouan Cormier, Lucien Walewski, Marco Carobene, Yessine Khanfir, Zachary Weller-Davies, Miguel Pinto Leite De Braganca, Armand Picard, Adrien Pichard, Leon Wehrhan, Heloise Chomet, Eszter Varga-Umbrich, Marie Bluntzer, Massimo Bortone, Valentin Heyraud, Silvia Acosta-Gutiérrez, Jules Tilly, Olivier Peltre

[InstaDeep @instadeepai]

🚀We're excited to release mlip v2, a major upgrade to our open-source machine learning interatomic potential library.

Access faster kernels, a new model architecture, richer physics, and more simulation modes, all in one unified, modular framework 🧵

[InstaDeep @instadeepai]

With new pretrained models and a detailed migration guide covering all API changes, we're excited to see what the community builds with it.

📄 Docs & migration guide: https://t.co/0v9kbvxAgh
💻 Code (GitHub): https://t.co/k56VWvALub
📝Paper: https://t.co/ojHiyRbXlG