Rethinking Human-Robot Interaction

Most current robotics research focuses on increasing model capability—teaching robots to perform tasks via web videos, simulations, or sensor-equipped gloves. Enigma, a startup founded by cybersecurity veterans Jonathan Jacobi and Gal Niv, is taking a contrarian "outside-in" approach. Instead of starting with the robot's technical dexterity, they are prioritizing the user experience (UX) of control.

The "Volume Knob" Philosophy

Enigma’s core thesis is that current human-robot interaction is too cumbersome to be useful. Co-founder Jonathan Jacobi argues that if a user must spend 15 minutes programming or explaining a task to a robot, they will abandon the tool entirely. The company aims to make controlling a robot as intuitive as adjusting a car's volume knob—a simple, immediate, and predictable interface that requires no complex instruction.

Large-Scale Data Collection

To discover what this "volume knob" for robotics looks like, Enigma is launching a global public experiment. They have built over 100 proprietary robots housed in facilities in California and Israel. These robots are capable of physical tasks like painting, sword fighting, and chemistry experiments. By allowing the public to interact with these robots online, Enigma intends to gather data on how humans prefer to communicate commands—whether through text, audio, video examples, or direct manipulation (tap, drag, and drop). This data will inform both the design of their user interfaces and the training of their foundational AI models.

Strategic Positioning

Despite being "outsiders" to the traditional robotics industry, the founders have secured $71 million in seed funding led by Index Ventures and Ribbit Capital. While the company has not yet disclosed specific commercial use cases, they are already exploring partnerships in healthcare, logistics, and entertainment. By focusing on the interaction layer rather than just the underlying model, Enigma hopes to solve the adoption barrier that currently limits the utility of embodied AI.