Calvin Chin

We are an early-stage AI lab focused on building the next generation of frontier multimodal AI models. Founded by former Google Brain & DeepMind researchers, including Andrew Dai, who was previously a leader on Gemini. Our team consists of world-class scientists and engineers. We recently raised $55M in funding from Striker Ventures, Menlo Ventures, and Altimeter with participation from 49 Palms and others with prominent AI researchers including Jeff Dean. We are tackling some of the hardest problems in artificial intelligence, and we are growing fast.

Advancing the frontier of care, starting with radiology. Voio unifies fragmented pieces of the reporting process and helps radiologists deliver faster diagnoses without compromising quality.

Sycamore is the trusted agent operating system for the enterprise: Build, deploy, and orchestrate autonomous AI agents with enterprise-grade security, human oversight, and organizational intelligence that compounds over time.

Physion Labs is building world critics for the age of world models. We believe the next frontier of AI is not only generating worlds, but deeply understanding, evaluating, and improving them over time.

Unconventional AI is rethinking the foundations of a computer to optimize energy efficiency for AI. Founded by experts in AI systems, analog circuits, computing theory, and neuroscience, we are bringing biology-scale efficiency to artificial intelligence.

AI for humans

Unreasonable Labs is an AI company that builds systems capable of autonomously creating and discovering new knowledge, uncovering insights and accelerating research breakthroughs across disciplines.

Building quantitative super-intelligence. We are hiring: careers@axiommath.ai

Adaption builds AI systems that adapt as real world conditions change. Moving beyond static and costly retraining cycles, Adaption delivers intelligence that evolves through real world interaction, enabling efficient AI across domains, languages and operational constraints.

Dedalus Labs is building the MCP gateway for the next generation of AI applications by unifying the fragmented AI agents ecosystem with a single drop-in API endpoint. We host and manage your MCP servers, allowing users to go from idea to production in a single click. Users can pick any model from any vendor, mix-and-match whatever tools they want from our MCP marketplace, and ship within minutes.

Were building the agentic data team. Backed by Y Combinator

Applied research and product lab exploring the frontiers of memory, personalization, and intelligent interfaces. hiring@thirdlayer.inc

Empowering AI Systems with Supreme Networking

AvantOS is a revolutionary AI platform that redefines client onboarding and servicing, making it a competitive advantage for financial institutions, delivering unmatched agility, scalability, and transparency.

alterego is the worlds first near-telepathic interface.

We are an early-stage AI lab focused on building the next generation of frontier multimodal AI models. Founded by former Google Brain & DeepMind researchers, including Andrew Dai, who was previously a leader on Gemini. Our team consists of world-class scientists and engineers. We recently raised $55M in funding from Striker Ventures, Menlo Ventures, and Altimeter with participation from 49 Palms and others with prominent AI researchers including Jeff Dean. We are tackling some of the hardest problems in artificial intelligence, and we are growing fast.

Advancing the frontier of care, starting with radiology. Voio unifies fragmented pieces of the reporting process and helps radiologists deliver faster diagnoses without compromising quality.

Sycamore is the trusted agent operating system for the enterprise: Build, deploy, and orchestrate autonomous AI agents with enterprise-grade security, human oversight, and organizational intelligence that compounds over time.

Physion Labs is building world critics for the age of world models. We believe the next frontier of AI is not only generating worlds, but deeply understanding, evaluating, and improving them over time.

Unconventional AI is rethinking the foundations of a computer to optimize energy efficiency for AI. Founded by experts in AI systems, analog circuits, computing theory, and neuroscience, we are bringing biology-scale efficiency to artificial intelligence.