A doctor in a rural clinic. A soldier in the field. A device with no signal. We are on a mission to make AI sustainable, private, and deployable everywhere.
Vision
Not just the cloud-connected ones.
Our bet: a society of tiny, specialised models, orchestrated and local, running everywhere a human goes.
Mission
Requiring dramatically fewer resources, making it cost-effective and environment-friendly.
Products
Models, not APIs. We don't sell seats, we sell the model that does the work: an agentic platform, compressed open-weights models, and a bespoke compression service.
A tiny chat-style AI you train on your own product, drop in with one URL, and run for free, for every user, forever.
Our agentic platform already in production. No-code AI agent builder, marketplace, and CLI.
Compressing open-weights models — Qwen, Llama, BGE and others — with quality measured and reported. Still research, not what powers the products today. Talk to us about your own models.
Research
From our flagship LLM in development to advances in compression and on-device privacy, we're building the foundations of sustainable AI.
Specialised, production-grade intelligence with substantially fewer parameters. Runs fully offline on a smartphone, Apple Watch, or an embedded chip. No cloud, low latency, full privacy.
Pushing further: substantially fewer parameters, broader model coverage, provable quality bounds for safety-critical applications, and compression-native training pipelines.
On-device inference as a privacy guarantee by design, no data leaves the hardware. We're also researching differential privacy and secure aggregation for federated deployments.
Lab to live
A computer-vision customer needed to recognise food waste on-device, in kitchens with no reliable connection. We turned a cloud-scale DINOv2 vision model into a 50 MB model that runs fully offline on commodity hardware, retaining roughly 80% of its top-5 accuracy.
Before
Cloud DINOv2, GPU-bound, online only
After
50 MB, on-device, fully offline
Supported by
Work with us
Whether you're a hardware partner, an enterprise customer, a researcher, or an investor, we'd like to hear from you.
