
The conversational-intelligence startup spent five years turning customer meetings into signal for post-sales teams. In July 2025 Gainsight acquired it to power Atlas, its agentic-AI bet, and put founder Josh Schachter in charge.
At the Machina conference in Paris, All-In host Jason Calacanis sits down with the leaders of four of the world's top robotics companies—ANYbotics, 1X, Boston Dynamics, and Agility Robotics. Across four rapid-fire interviews, the CEOs explain why four-legged 'dog' robots conquered industrial inspection first, why humanoids are finally doing useful work, how teleoperation and internet-scale video data are training the next generation of machines, and where the real money and the real dangers lie—from explosive oil rigs to weaponized robots coming out of China. The through-line: robots are no longer research demos, they're deployed assets measured by ROI, and 'hard takeoff' where robots build robots may be as little as three years away.
Five AI-native startups and every major field-service platform are racing to build the same product: an AI assistant that sits in a technician's pocket and answers questions about the air conditioner in front of them. The technicians are a proxy. The real contest is whether a thin AI layer on an underserved dataset can survive once the platform that already owns the customer relationship copies the feature for free. HVAC is the smallest, clearest test of a question every vertical AI founder is asking: does depth beat distribution?
Nomic AI is a New York-based artificial intelligence company building tools to make large, unstructured datasets and AI models understandable and usable by everyone. It is best known for Atlas, a browser-based platform for visualizing and interacting with massive datasets; the open-source Nomic Embed family of text, code, and multimodal embedding models; and GPT4All, an ecosystem for running large language models privately on everyday hardware. Since 2025 the company has focused its platform on the architecture, engineering, and construction (AEC) sector, applying its embedding and retrieval technology to drawing review, code compliance, and document-heavy construction workflows.
Jon O'Bryan is the CEO and Co-founder of Atlas (YC W22), an AI-first customer support platform built to replace legacy tools like Zendesk and Intercom. A PhD physicist turned serial entrepreneur, Jon previously co-founded PadSplit - a co-living marketplace that housed 23,000 people across 18 U.S. cities - and Blanket Homes. At Atlas, he is on a mission to transform customer support from a cost center into a revenue driver, bringing together session recording, omnichannel ticketing, AI copilot, and customer timeline tools in a single ergonomic platform backed by Y Combinator and angel investors including Parker Conrad (Rippling), Jack Altman (Lattice), and Arash Ferdowsi (Dropbox).
Altana builds the AI-powered network for trusted global trade - a dynamic, intelligent map of the world's supply chains. Using federated machine learning, it connects businesses, the largest logistics providers, and government agencies around a shared, privacy-preserving source of product and supplier intelligence, helping them manage compliance, tariffs, risk, and resilience across multi-tier supply networks.
Pratap Ranade is the CEO and co-founder of Arena (Arena Physica), a New York startup building Atlas, an AI hardware engineer grounded in applied physics that helps semiconductor, aerospace, automotive, medical-device and defense companies design and test physical hardware. A Stanford and Columbia-trained physicist who left a PhD to join McKinsey, he previously co-founded Kimono Labs (acquired by Palantir) and led engineering and machine learning at Enigma. Arena raised a $30M Series B in April 2025 and counts AMD, Bausch & Lomb and Anduril among its partners.

Pallet is a San Francisco AI startup building an 'AI workforce' for the logistics industry. Its flagship product, CoPallet, automates back-office freight workflows - order entry, quoting, document parsing, portal updates - that have historically required armies of human operators, working inside systems like McLeod, Revenova, Turvo and even legacy AS400 stacks. In 2026 it added Atlas, a data-intelligence layer that surfaces hidden revenue opportunities across a logistics network.

Charlie Warren is a startup founder-turned-investor who built Convex, a commercial services software platform, from a garage bootstrapping sprint through $60M in venture funding and a YC Top Companies nod, before selling to ServiceTitan in 2024. Today he serves as a Visiting Partner at Y Combinator, bringing hard-won founder experience to the next wave of vertical SaaS builders. His unusual arc - Goldman Sachs to energy policy to enterprise software - gives him a perspective on markets that most investors simply don't have.