Enigma raises $70M to make controlling a robot as easy as adjusting the volume
Multiple robotics companies are tackling one of AI’s hardest problems: building foundation models capable of executing tasks they were never explicitly trained to handle. Their
Multiple robotics companies are tackling one of AI’s hardest problems: building foundation models capable of executing tasks they were never explicitly trained to handle. Their approaches run the gamut — from studying millions of web videos and conducting computer simulations to collecting motion data from humans performing tasks in gloves with built-in sensors. Enigma, a research lab set to emerge from stealth on Monday, is taking a fundamentally different approach. Rather than focusing purely on model capabilities, the less-than-one-year-old startup wants to study how humans engage with robots in hopes that these interactions will lead to intuitive interfaces and possibly a different kind of robotic brain. To finance its mission, Enigma raised a $70 million seed round led by Index Ventures and Ribbit Capital, with participation from Sarah Guo of Conviction Partners. To test how humans want to communicate with machines, Enigma is launching a large-scale experiment that allows anyone in the world to interact online with more than 100 of its proprietary AI robots. These robots, housed in hangars located in Israel and California, can perform tasks such as drawing pictures with a paintbrush, fighting each other with swords, and performing simple chemistry experiments by picking up and mixing flasks with liquids.
Enigma claims to have developed both the robotic arms and their underlying models entirely from the ground up. Jonathan Jacobi (pictured right), Microsoft’s youngest-ever employee — recruited by Wiz founder Asaf Rappaport during his time there — co-founded Enigma with his longtime friend Gal Niv (pictured left). The two met while competing in hacking competitions as young teens, then became close friends while serving together in Israel’s elite Unit 8200, where they conducted cybersecurity research. When Jacobi and Niv set out to launch a startup together last year, they decided to apply their technical prowess to AI for robotics, a field where they lacked direct experience, but one they believed held the most exciting unsolved problems in tech. They assembled a team of what Jacobi describes as some of their “smartest friends” from Israel’s tech ecosystem and community — including alumni from top AI labs, math Olympiad winners, and several people who were even convinced to drop out of PhD programs. “There are a lot of robotics industry insiders participating in the next wave of embodied intelligence, but Jonathan and Gal are outsiders — they’re not roboticists.
The BriefWire