Eka is worth $1.45B thanks to a physical AI model that has experts raving
- ID
- 37376
- Status
- summarized
- Published
- 20 Oct 2026, 9:00 PM
- Fetched
- 21 Oct 2026, 9:03 AM
- Provider
- TechCrunch
- Category
- technology
- Original URL
- https://techcrunch.com/2026/10/20/eka-is-worth-1-45-billion-thanks-to-a-physical-ai-model-that-has-experts-raving/
- Source URL
- https://techcrunch.com/feed/
Summary
- Score
- 6.0
- Created
- 21 Oct 2026, 9:03 AM
- Tags
- Audience
- ai_ml_learnersdevelopers
What happened
Eka Robotics raised a $150M Series A led by a16z and F-Prime at a $1.45B post-money valuation for a physical-AI manipulation stack: a force-sensitive gripper plus a new deep-learning model. TechCrunch reports it can pick up about 1,500 objects weighing up to 1 kg per hour, versus about 600 for a human, with >95% reliability, and adapt to many objects without retraining; roboticists quoted call the demo unusually impressive.
Why it matters
If you build or buy warehouse or robotics automation, this sets a concrete benchmark—1,500 picks/hour, 1 kg payload, >95% reliability—but the article gives no pricing, API, availability, or independent evaluation, so treat it as a signal to watch rather than something to plan around today.
Discussion angle
What would Eka need to publish—failure rates by object class, retraining data, or third-party trials—before the 1,500-objects/hour and 95% reliability claims become a credible buying signal for automation teams?