Ollama
A tool for running open-source LLMs locally or on a client's own infrastructure, for privacy-sensitive or offline use cases.
Discuss your projectOllama makes it straightforward to run open-source models like Llama or Mistral on a client's own servers, which matters for projects with strict data-residency or privacy requirements that rule out sending data to a third-party API.
We use it for internal tools and regulated-industry clients who need AI features without their data ever leaving their own infrastructure.
How we use Ollama
Privacy-first AI
AI features for clients that can't send data to a third-party API due to compliance requirements.
On-premise deployments
Running open-source models entirely within a client's own network.
Cost-controlled inference
Self-hosted inference for high-volume use cases where API costs would otherwise scale unpredictably.
More ai & ml technologies
Have a product in mind? Let's build it together.
Tell us about your idea and timeline — we'll get back to you with next steps within one business day.