All ideas, connected.

AI is a connector, an amplifier, an accelerator. It lets people iterate on ideas at speed, spark new ones, and connect them into something whole.

We believe the gains of AI should be distributed broadly, empowering people to solve hard problems and unlock novel discoveries that compound into human progress. Providing access to the tools that expand what people can know and do is at the core of what we do. Those who learn to work with AI in the coming years will build things that were previously out of reach. ai& exists to build that access.

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Scaling applied intelligence.

Intelligence can only solve problems when it is applied, and it only becomes applied when it runs. Therefore, distributing AI means making intelligence run for as many people, on as many problems, as possible. 

ai&’s goal is distribution that leads to great advancement, and an increase in ideation and innovation. We do that by building and scaling inference, the runtime layer that turns intelligence into applied intelligence.

Scaling applied intelligence means scaling two things: the capability itself, and inference that runs it. We scale the inference through deep vertical integration, operating every layer of the stack and optimizing it, because capability served as cheap as possible is capability that everyone can use.

AI is moving toward continual learning, and eventually recursive self improvement. Models will keep getting better not just through training runs but through use, with every iteration folded back in. 

Our stack is therefore built for owned weights. A model that keeps learning from your work belongs with you, in an environment you choose, on terms you set. We run AI workloads where our customers control them, whether the customer is a company or a country. The closer a model is served to your data, the more it learns from the work itself, and what it learns stays yours, compounding toward the next problem, and the next.

How we do it:

  • Fast, efficient inference

  • Inference that scales

  • Inference that is safe and resilient

  • Post-training for our customers

  • Data curation with our customers

  • Benchmarking with our customers

  • Inference our customers can own: their weights, their environment

All of it converges in dedicated inference environments, run from our own data centers up. The more efficiently you can run it, the more problems you can actually solve.

Leadership.

David Bennett, Co-Founder and CEO of ai&.
David Bennett
Co-Founder & CEO

David has spent his career building and scaling technology businesses globally, across frontier AI, AI infrastructure, semiconductors, and consumer and enterprise computing. Before co-founding ai&, he was Chief Customer Officer at Tenstorrent, CEO of Lenovo Japan and NEC PC Japan, and Corporate Vice President at AMD. He also served on the board of Sanrio, the Hello Kity Company, and is a visiting professor at Yamagata University.

Shimpei Hara, Co-Founder and President of ai&.
Shimpei Hara
Co-Founder & President

Born in Japan, Shimpei built his career in Silicon Valley across AI infrastructure, models, strategy, and deployment. Before co-founding ai&, he worked on cultivating the business through product, strategy, operations at Tenstorrent. At ai&, he leads the technical direction and operations, connecting silicon, serving, and model layer for inference.

Careers

Join us.

Join us.

We're growing fast. We're looking for people globally across research, engineering, and operations who want to think big and believe AI should make people more capable, not replace them.

We're growing fast. We're looking for people globally across research, engineering, and operations who want to think big and believe AI should make people more capable, not replace them.

Newsroom

What we're up to.

October 8th, 2026

News

TermGrade: 1k graded terminal environments, 36k trajectories, and the RL run they trained

Graded six times over; all 36,144 attempts released, the 14,234 failures included. Every task carries a measured pass rate per model, not a difficulty label somebody chose, and that measurement picked the RL training data: +3.1 on Terminal-Bench 2.1, and +2.1 across five runs of the same recipe.

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Sept 3, 2026

News

Running biology models: why we built JapanFold

Eight open biology models, free to use, on hardware we own and operate in Japan. This is the inference infrastructure behind them, and why serving this workload looks almost nothing like serving a language model.

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Sept 3, 2026

News

ai& and Tenstorrent Launch JapanFold, Bringing Open-Source, Sovereign Drug Discovery to Japan

ai& and Tenstorrent launched JapanFold, a drug discovery platform running on ai&'s sovereign infrastructure, powered by Tenstorrent Galaxy™ superclusters. Japanese researchers, pharmaceutical companies, and biotech firms can now access frontier drug discovery models at a fraction of the cost of conventional cloud infrastructure, with every computation running entirely within Japan.

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July 27, 2026

News

Kimi K3 on ai&

Kimi K3 is being called “the clearest example yet of an open-weight model reaching frontier-level performance.” Moonshot AI’s newly released 2.8-trillion-parameter model scores 57 on the Artificial Analysis Intelligence Index — behind only Claude Fable 5 (60) and GPT-5.6 Sol (59), and ahead of every other model tested, including Claude Opus 4.8.

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Jun 29, 2026

News

ai& Launches ai& inference: Frontier AI at up to 80% Lower Cost, Built on Heterogeneous Compute

ai&, a vertically integrated global AI technology company, today launched ai& inference, a high-performance platform that delivers state of the art inference at a fraction of what comparable proprietary inference cost to run today. The platform is built on a heterogeneous compute architecture, combining AMD, NVIDIA, and other silicon architectures under a single optimized inference serving layer. ai& inference is engineered to convert hardware-software co-design into a structural cost advantage that single-architecture providers cannot match.

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Jun 2, 2026

News

ai& and Plug and Play Japan Collaborate to Drive Enterprise AI Transformation with Sovereign Infrastructure

ai& a vertically integrated global AI technology company, and Plug and Play Japan KK, one of the world’s largest innovation platforms, today announced a collaboration to help enterprises build and deploy AI with greater speed, control, and confidence. The partnership connects Plug and Play's AI Center of Excellence (AI CoE) with ai&'s vertically integrated AI platform, which unifies data centers, heterogeneous compute, and advanced model services into a single stack built from Japan for the global market.

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May 22, 2026

News

From AI Ambition to AI Reality What It Takes to Execute at Scale

AI has shifted from experimentation to foundational business infrastructure — and the organizations that move fastest from ambition to execution will define the next era. ai& CEO David Bennett and Jon Robottom, CVP and GM of AMD Japan, sit down to discuss what it actually takes to deploy AI at scale: from agent-to-agent architectures and compute economics, to the opportunity in Japan and beyond. The infrastructure to participate fully in the AI era is available today.

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May 22, 2026

News

ai& and Ryoyo Ryosan Form Partnership to Accelerate Adoption of AI Inference Solutions in Japan

ai& Inc. (headquartered in Yokohama, Kanagawa; Co-Founder & CEO: David Bennett; hereinafter “ai&”), a vertically integrated global AI technology company, today announced that it has entered into a partnership with Ryoyo Ryosan, Inc. (headquartered in Chuo-ku, Tokyo; President: Kazuhiko Inaba; hereinafter “Ryoyo Ryosan”), an electronics trading company specializing in semiconductors, AI, IT, and industrial DX.

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May 19, 2026

News

ai& and Tomorrow Net Collaborate to Move Enterprise AI from Pilot to Production

ai& Inc., a vertically integrated global AI technology company headquartered in Yokohama, Kanagawa, Japan, and Tomorrow Net Co., Ltd. (headquartered in Shinagawa-ku, Tokyo; President & CEO: Lee Chang-Jin) today announced that they have entered into a business alliance to provide generative AI and AI/IT infrastructure solutions for enterprise customers.

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May 14, 2026

News

ai& and GENSHI AI Partner to Power Secure Medical AI Deployment in Japan

ai& today announced that the company is collaborating with GENSHI AI Inc., a medical AI company, to build a secure large language model (LLM) platform for healthcare institutions in Japan. The companies are currently conducting a proof of concept (PoC), with plans for full-scale rollout in fiscal year 2026. Together, they aim to enable advanced AI while keeping sensitive data within the country.

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Company Overview

Company Name

ai& Inc.

Founded

March 2026

Headquarters

Queen's Tower A, 10th Floor, 2-3-1 Minatomirai, Nishi-ku, Yokohama-shi, Kanagawa 220-6010, Japan

Representatives

David Bennett, Co-Founder & CEO

Shimpei Hara, Co-Founder & President