frontier-ai-lab

(4)
Company
humans&
Ai · Enterprise · Saas

humans&

humans& is a human-centric frontier AI lab based in the San Francisco Bay Area, founded in September 2025 by researchers and builders from xAI, Anthropic, Google, OpenAI, and Stanford. Rather than building AI to replace people, the company designs models and products around how humans connect, communicate, and work together - investing in long-horizon and multi-agent reinforcement learning, memory, and user understanding. It launched publicly in January 2026 with a $480 million all-cash seed round at a roughly $4.48 billion valuation, backed by NVIDIA, Jeff Bezos, SV Angel, GV, and Emerson Collective.

humans& · humansandRead →
Company
Voio
Ai · Health · Enterprise

Voio

Voio is a Berkeley-based frontier AI lab building a unified reading platform for radiology. Spun out of UC Berkeley and UCSF, it develops the open-source Pillar family of models that interpret CT, MRI and X-ray scans across hundreds of conditions, aiming to help radiologists work faster without trading away accuracy. The company exited stealth in November 2025 with $8.6M in seed funding.

voio · radiology-aiRead →
Company
Ricursive Intelligence
Ai · Hardware · Enterprise

Ricursive Intelligence

Ricursive Intelligence is a Palo Alto frontier AI lab using artificial intelligence to compress the slow, expensive process of semiconductor design. Founded in late 2025 by Anna Goldie and Azalia Mirhoseini, the co-creators of Google's AlphaChip, the company is building an end-to-end AI model that designs, verifies and closes silicon, aiming to create a recursive loop where AI designs better chips and those chips train better AI. It raised $335M across seed and Series A rounds, reaching a $4B valuation roughly two months after launch.

ai-chip-design · semiconductorRead →
Company
Smack Technologies Inc.
Ai · Enterprise · Hardware

Smack Technologies Inc.

Smack Technologies is a frontier AI lab for national security, founded in 2024 by two Marine Special Operations veterans, Andy Markoff and Clint Alanis. The company builds domain-specific AI models trained through deep reinforcement learning inside proprietary synthetic warfare environments. Its goal is what it calls 'Decision Dominance' - compressing the Orient and Decide phases of the military OODA loop from months to minutes. Two product suites carry the work: Omega, a command-level stack that turns commander intent into executable plans, and Alpha, an edge stack with lightweight models and proprietary hardware for tactical platforms operating in degraded, low-bandwidth conditions. Smack raised $32M in combined seed and Series A funding led by Geodesic Capital and Costanoa Ventures, and has secured seven-figure contracts with the Joint Fires Network and the Marine Corps Warfighting Lab.

defense-ai · national-securityRead →