Built by engineers who think AI belongs on your machine

VirexaLLM was started by systems and ML engineers who were tired of watching confidential prompts leak into third-party inference pipelines. We set out to build the local runtime we wished existed — fast, private, cross-platform, and boring to install.

VirexaLLM at a glance

2022

Founded

By engineers tired of sending every prompt to someone else's datacenter

50+

Team Members

Systems, ML, and product — split across three continents

Millions

Local Inferences

Served on customer laptops — never touched our servers

Series B

Funding Stage

Backed by investors who bet on local-first infrastructure

The problem that would not go away

Powerful models exist, modern laptops can run them, and yet most teams still pipe every prompt to someone else's datacenter. We built VirexaLLM so developers and regulated teams can run open-weight models locally, with the same OpenAI-style API they already use — and no servers to call home to.

What we believe

The principles behind every product decision at VirexaLLM.

Ship fast, learn faster

We release the desktop app on a weekly cadence. Your feedback today ships in next Tuesday's build.

Private by default

No prompt ever leaves the device without explicit consent. Everything else is a failure of design.

Open weights, always

We only ship open-weight models. If you can't inspect a weight, you can't trust a model running on your machine.

Lightweight beats glamorous

A small, signed native binary will outrun a 4 GB Electron app every time. We pick the harder path.

Build for the developer

We design for the engineer running 12 Chrome tabs, Docker, and a model — not a stage demo.

Earn trust through releases

Reproducible builds, signed binaries, open core. We make it easy to verify we're telling the truth.

Leadership

CEO & Co-Founder

Former systems lead at a hyperscaler. Spent years trying to keep confidential prompts out of third-party inference pipelines.

CTO & Co-Founder

Ex-ML engineer who shipped on-device inference at a consumer OS vendor. Believes the best GPU is the one you already own.

VP Engineering

Scaled native app teams at multiple developer tools companies. Deep expertise in cross-platform runtimes and signed release pipelines.

VP Product

Two decades building developer tooling. Advocate for local-first, privacy-respecting, OpenAPI-compatible design.

We run on VirexaLLM ourselves

Our internal copilots, code review assistants, and document workflows all run against http://localhost:1775/v1 on laptops we own. When a release ships to customers, we've been using it for weeks.

Timeline

2022

Company founded. First working local runtime running Llama 2 on an M1 MacBook shipped within three months.

2023 Q1

Seed round closed. First 1,000 developers running production code against http://localhost:1775/v1.

2023 Q3

Windows and Linux builds shipped. Signed installers and reproducible builds land in the release pipeline.

2024 Q1

Series A. Curated model library launches with quantization recommendations tuned per hardware class.

2024 Q3

Fleet admin console released. First regulated-industry customers deploy VirexaLLM on air-gapped workstations.

2025

Series B. Team grows, model catalog expands, and on-device eval tooling ships to every customer.

Our team has roots at

Deep experience from leading systems, ML, and developer-tool companies.

AccentureWixCanvaUnmind

Come build with us

We're hiring engineers, product thinkers, and go-to-market leaders who want to put powerful AI back on the hardware it runs best on.

Engineering

Cross-platform runtime, quantization pipelines, signed release tooling, and an on-device API server.

Product

Shape the model catalog, the chat UI, and the workflow surface developers actually want to live in.

Go-to-Market

Help developers, regulated enterprises, and agencies ship local-first AI instead of a cloud bill.

Your laptop is the server now

Download VirexaLLM and run Llama, Mistral, Phi-3, Gemma, or Qwen locally in minutes. Free desktop app for macOS, Windows, and Linux — your prompts never leave the device.