Local AI systems
Self-hostedPrivate assistants, copilots, and document intelligence built on open models that run inside your environment — nothing sensitive leaves your walls.
LocalML builds AI that runs on your terms — private models, agentic workflows, fine-tunes and computer vision, delivered as products and services. Real intelligence you own, not an API you rent.
Most teams start with AI APIs because they're easy. Then the bills scale with every request, sensitive data leaves your walls, and the workflows you depend on run on a model you can't see, tune, or keep.
You shouldn't have to trade ownership for capability.
LocalML builds AI you run and control end to end — your models, your data, your rules.
Private assistants, copilots, and document intelligence built on open models that run inside your environment — nothing sensitive leaves your walls.
AI agents that plan, call tools, and automate real work — research, support, reporting — wired into the systems your team already runs.
Smaller, sharper models trained on your data and distilled to run fast on modest hardware — accuracy where it matters, without cloud dependency.
Custom models for vision, forecasting, ranking, and domain-specific tasks — designed around your exact problem, not a generic template.
Ownership isn't a feature you bolt on later. It changes the economics, the privacy, and the shelf-life of everything you build.
Nothing sensitive is shipped to a third-party model. Full sovereignty over the intelligence your business runs on.
Trade metered per-token bills for models you own and run. Scale usage without scaling the invoice.
Pick the models, tune them on your data, and decide how and where they run. You set the roadmap — not a vendor.
Your product shouldn't break because someone else's API changed overnight. Local models keep working on your terms.
Startups shipping AI features without watching margins vanish into API bills.
Enterprises with strict privacy, compliance, and data-residency requirements.
Product teams building internal copilots, agents, and automated workflows.
Labs & operators who need models to run in secure, offline, or air-gapped settings.
We start with your workflows, data, and goals — not a template. Precise discovery before a line of code.
We design and train the models and systems around your use case: selection, fine-tuning, integration, interface.
We ship it into your environment and make it run reliably — your stack, your rules, your uptime.
We monitor, tune, and improve continuously. An ongoing partnership, not a handoff.
Whether it's a private copilot, an agentic workflow, or a custom model, LocalML helps you build intelligence you actually own.
Build once. Run anywhere. Own everything.
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