CTO & Co-Founder @SereactAI
Baden-Württemberg, Germany
Joined February 2018
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More robots. More returns. More scale. This is physical AI.
Excited to be building real-world solutions alongside @OttoGroup_Com and @nvidia.
Full announcement in comments.
Read more: sereact.ai/posts/otto-group-…
Still catching my breath from last week.
New partnerships with @Teradyneinc, @Universal_Robot, @nebiusai, @nvidia, @cevalogistics, and @Zalando.
On stage at @NVIDIAGTC and the Zürich Robotics Roundtable with @oier_mees, @andrei_danescu, @cpiechnick, @TheHumanoidAI and @Agile_Robots.
Cortex handled shoebox returns for packed crowds at #GTCBerlin and BVL Supply Chain, and Sereact got a spot in Jensen's keynote.
All while shipping more robots than ever.
Incredible evening at the Zürich Robotics Roundtable.
Thanks to Yves and @oier_mees for joining me on stage, and to @edozurich, Gianmaria and Roboto AI for hosting. Packed room, great crowd, lively conversations.
The moment for physical AI is here. Let’s go! 🦾
Marc Tuscher retweeted
Shared from GTC with the @creandum team what’s new at @SereactAI but it deserves more eyeballs.
Company had 2 phenomenal quarters back to back and now fully upgraded from VLAM to world action models.
Khiem is a legend. Went from intern to AI research lead and serves @TuscherMarc & the gang for +4 years.
Only worry: my sleep over office mattress setup after the board meeting this week got a little too fancy over the years…
No two items are alike.
When we started @SereactAI , people told us returns were impossible to automate.
This is Cortex handling @Zalando
returns at a @cevalogistics fulfillment center. It’s live and in production, every shift.
Proud of the team that made this real.
Marc Tuscher retweeted
Real customers. Live orders. Production at scale.
We’re teaming up with @Teradyneinc and @Universal_Robot to run Cortex on UR cobots. Hundreds of robots shipped across Europe, and now heading to North America.
See it live at the @nvidia booth, Hall 3. #GTCBerlin
Robots that learn by copying people hit a ceiling.
Cortex 2.6 now learns from practice: after 50 attempts per task, its success on three returns-handling tasks rose from 60–70% to 85–100%.
Practice also made it faster on all three tasks. And it learned to recover from its own mistakes, like re-grasping after a failed grasp. No one had shown it how.
Full house at @NVIDIAGTC Physical AI & Robotics Partner Day. Great way to kick off the week in Berlin. 🦾
#NVIDIAGTC #GTCBerlin #PhysicalAI
#5 in @Siftedeu's AI 100. Thank you to everyone who has built this with us!
The best is still coming. #SiftedAI100
The real benchmark for physical AI is production.
300+ live systems across Europe and the US. One model learning from all of them.
Proud to be #5 in @Siftedeu’s AI 100. Thank you to everyone building this with us. 🦾
#SiftedAI100
