Enigma's $70M seed round for human-robot interaction

Enigma's founders didn't come up through robotics labs. Jonathan Jacobi and Gal Niv met as teenagers in hacking competitions and later served together in Israel's Unit 8200 cybersecurity and intelligence unit; neither has a traditional roboticist background ^[1]. Jacobi was reportedly Microsoft's youngest-ever employee, joining at 17 after being recruited by Wiz founder Assaf Rappaport, and also worked at Check Point ^[2]. Niv started hardware hacking at age 10 and became the youngest cyber-operations manager in Unit 8200 ^[3]. Index Ventures partner Shardul Shah, who co-led the round, frames that outsider status as the point rather than a liability: a typical robotics insider starts with teleoperation or dexterity, while Enigma instead started by asking 'what's the ultimate experience?' ^[2]The bet is that two people who spent their careers making complex systems usable, not building actuators, might be better positioned to solve robotics' interface problem than roboticists themselves.

Rather than shipping a consumer robot, Enigma has opened more than 100 of its proprietary AI robots - housed in hangars in Israel and California - to public control through its robots.online platform, where users can direct them to draw with a paintbrush, fight each other with swords, or mix chemistry-set liquids ^[4]. The stated goal is to study how ordinary people want to communicate with machines, using that data to train the interface and control layer rather than optimizing capability in isolation ^[2]. Jacobi's framing of the problem is blunt: 'If you had to do your dishes and spent 15 minutes explaining to a robot where to put everything, everyone reaches the point of forget it, I'll just do it myself' ^[2]. That is Enigma's real thesis - that robots are approaching sufficient physical capability, and the bottleneck to adoption is now the instruction time it takes a human to get a machine to do anything useful.

Enigma's raise lands inside a broader robotics funding surge. Global robotics venture funding hit a prior peak of $14.1 billion in 2021, then $15 billion for all of 2025 - but by mid-June 2026, robotics startups had already pulled in $18.8 billion globally, surpassing both of those full-year totals in under six months ^[5]. That shift reflects investors increasingly treating robotics as a hot embodied-AI category rather than an asset-heavy hardware gamble ^[5]. Enigma's own round reflects that appetite: alongside co-leads Index Ventures and Ribbit Capital, it drew Sarah Guo's Conviction Partners plus individual angel investors and researchers from OpenAI, Anthropic, Thinking Machines, xAI, and Cognition ^[3]- a roster that looks more like an AI-lab cap table than a typical hardware-startup one. Global industrial automation spending reached $57 billion in 2025, the kind of market size that makes an interface layer for robots look like a large addressable opportunity even before Enigma has a product ^[6].

For all the funding and buzz, Enigma is still less than a year old with no defined commercial product, no revenue, and no fixed business use case at the time of the raise - this is, explicitly, a bet on the founders and an open-ended research approach rather than on an existing business ^[1]. The company says it will use the money to expand its research and engineering team, add computing and GPU capacity, and grow deployments with partners in entertainment, retail, and healthcare ^[6]- sectors where the stakes for safety and reliability in human-robot interaction are considerably higher than a browser demo. Enigma's pitch to reduce the training data needed to adapt its models to new robots has also drawn comparisons to Meta's V-JEPA, which can adapt to new robots using under 100 hours of footage ^[7], meaning Enigma isn't just competing on interface design but also on the same data-efficiency problem that well-resourced labs like Meta are already attacking.