Robotics startup Eka Robotics has secured a post-money valuation of $1.45 billion after closing a $150 million Series A funding round. The investment was co-led by venture capital firms Andreessen Horowitz (a16z) and F-Prime. The company has drawn notable attention across the robotics sector for solving one of the most stubborn hurdles in physical automation: building robotic hands that reliably grasp a diverse array of items without dropping or crushing them.
Founded by MIT professor Pulkit Agrawal and former Google DeepMind researcher Tuomas Haarnoja, Eka Robotics aims to shift away from traditional robotic design. Standard systems often rely heavily on video feeds and visual instructions, but Eka focuses on physical contact and touch.
Solving the physical contact challenge
Modern artificial intelligence models have rapidly improved high-level robotic planning, but physical execution remains difficult. While vision models can locate an item on a table, they often struggle with the final millimeter before contact.
To address this, Eka built a vision-force-action framework rather than relying solely on vision-language inputs. The setup pairs a specialized gripper fitted with extensive force sensors with deep reinforcement learning models. Instead of recording thousands of hours of manual teleoperation by human workers, the team trains the system inside physics simulators. This approach enables the model to simulate thousands of hours of physical interaction within minutes, learning how to balance speed and fragile touch.
In field testing, the robotic arm demonstrated the ability to pick up approximately 1,500 objects weighing up to 1 kilogram within an hour. In contrast, an average human worker manages about 600 picks in that timeframe. Eka claims the machine maintains a grasp success rate exceeding 95 percent, even demonstrating the delicate control required to handle soft fruits without bruising them.
Bridging industrial planning and hardware
Many emerging robotic systems struggle to balance adaptability with raw operational efficiency. Broad models can understand varied instructions but operate slowly, while custom industrial arms handle single repetitive movements without any flexibility.
Eka positions its force-aware hardware to handle the physical dexterity, allowing higher-level AI models to manage broader planning tasks. The startup intends to scale its hardware and simulated training environments to deploy dexterous robotic manipulation across commercial distribution centers and manufacturing plants.
Aasan alfaaz mein
Eka Robotics naam ki nayi company ne $150 million invest karwaye hain, jis se iski qeemat $1.45 billion tak pohnch gayi hai. Is robot arm ki khasiyat ye hai ke yeh cheezon ko tode baghair bohot tezi se utha sakta hai, jaise ke nazuk phal. Aam tor par robots aisi nazuk cheezein nahi pakad pate thay, lekin yeh nayi technology factory aur packaging ke kaamon ko bohot tez bana sakti hai.
