X1 Labs — Building the Next Frontier of AI

Founder

Meet Jack Levin

Technologist, researcher, and builder pushing the boundaries of artificial intelligence.

Abstract AI data wave visualization representing X1 Labs research

Jack Levin

Jack Levin is a serial entrepreneur and AI researcher whose career has been defined by building transformative technology at scale. From early roles at Google to founding multiple successful ventures, Jack has spent two decades at the intersection of deep systems engineering and machine learning.

At X1 Labs, Jack channels that expertise into building the next generation of AI infrastructure — systems that are not just powerful, but safe, interpretable, and designed with the future in mind.

His philosophy: intelligence should amplify human capability, not replace it. Every model, every system, and every line of research at X1 reflects that conviction.

Jack Levin — Founder & CEO, X1 Labs

What We Build

AI systems designed for the real world

X1 Labs focuses on the hard problems — the ones that matter most for how AI integrates with human life over the coming decades.

Foundation Models

Training large-scale language and multimodal models from first principles, with an emphasis on efficiency, safety alignment, and emergent reasoning capabilities.

Inference Infrastructure

Purpose-built serving systems that allow frontier models to run at scale — fast, cost-efficient, and resilient under real-world production conditions.

Safety & Alignment

Fundamental research into how to make advanced AI systems behave reliably, honestly, and in accordance with human values — even as they grow more capable.

Reasoning Systems

Building models that don't just predict — they plan, verify, and reason through complex multi-step problems with rigor approaching human expert-level cognition.

Agentic Frameworks

Next-generation agent architectures that can perceive, decide, and act across complex environments — with fine-grained controllability and transparent decision-making.

Evaluation & Benchmarking

Rigorous, reproducible evaluation frameworks that go beyond standard benchmarks to measure what models truly know, can do, and how they fail.

How We Think

Principles that guide every decision

These are not platitudes. They are the constraints we place on ourselves when building powerful AI systems.

Safety is not a feature — it's the foundation

Every system we build is evaluated for alignment before it's evaluated for capability. A model that is powerful but not safe is not a product — it's a liability.

Empiricism over intuition

We measure everything. Intuitions about how AI systems behave are systematically wrong. We run the experiment, look at the data, and update our priors — every time.

Long-term thinking, short-term execution

We build toward a 10-year horizon but ship every week. The vision doesn't drift — only the tactics evolve as we learn what works.

Transparency builds trust

We publish our research, document our limitations, and communicate honestly about what our systems can and cannot do. Trust is earned through openness, not marketing.

Talent is the only moat that matters

X1 Labs is built around world-class researchers and engineers. We invest in people first — the products, papers, and breakthroughs follow from exceptional teams.

The best AI amplifies, not replaces

Our north star is intelligence that makes humans more capable, creative, and effective — not systems designed to make human judgment obsolete.

Intelligence built for
what comes next