Eka Robotics raises $150 million at $1.45 billion for robot hands that feel

Eka Robotics, a start-up building robot hands that use their sense of touch to grip objects, has raised $150 million in a Series A funding round that values it at $1.45 billion after the investment, according to reports on October 20, 2026. The round was led by venture firms Andreessen Horowitz (a16z) and F-Prime. Eka was founded by Pulkit Agrawal, a professor at the Massachusetts Institute of Technology (MIT), and Tuomas Haarnoja, a former researcher at Google DeepMind.

Robots in factories have been good at repeating the same movement thousands of times, but poor at handling objects that vary in shape, weight or softness, the kind of mixed items found in a warehouse bin or a parcel sorting line. Most current approaches lean heavily on cameras and computer vision. Eka's bet is different: it trains its robots to rely on touch, much as a person can pick something out of a bag without looking. The robot hand senses the push and pull of contact and adjusts its grip, with vision used mainly to find the object first.

Much of the training happens in simulation. Using reinforcement learning, a method in which software learns by trial and error and is rewarded for success, the model practises picks over and over in a virtual physics environment before running on real hardware. That lowers the cost of teaching a robot new tasks.

The size of the round shows how much investors are now willing to pay for "physical AI", artificial intelligence that acts in the real world through machines, not just on screens. A $1.45 billion valuation at a Series A stage is unusual and reflects expectations rather than current revenue. The performance numbers come from Eka's own laboratory tests. Coverage of the round notes that they do not yet show the system can keep up the same reliability through a full production shift.

For India, the story is a pointer to where automation is heading in warehousing, e-commerce fulfilment and manufacturing, sectors where picking and packing still employ many workers. Low-cost grippers, if the company's price claims hold, could eventually make such robots affordable for mid-sized operators, not only global giants. Indian engineers and robotics researchers are also part of the global talent pool such companies hire from.

Short-term: Eka will use the funds to develop its model and hardware and to move from laboratory tests to real customer sites, where its reliability claims will be tested. Rival robotics start-ups may find it easier to raise money on the back of this valuation.

Long-term: If touch-guided robot hands work reliably at low cost, warehouses and factories could automate tasks that have so far needed human hands, such as picking mixed items from bins. That would raise productivity but also change jobs in logistics and packing.

Who is affected: Warehouse and logistics operators, manufacturers, robotics engineers and researchers, investors in AI and robotics, and workers in picking and packing roles.

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