Hardware and model assessment
Evaluate candidate models against memory, compute, context, and task requirements.
AI & Automation
Add locally hosted AI to your application.
For teams that want an existing or new application to use Ollama and local language models within their chosen infrastructure.
Discuss this serviceLocal AI & Ollama Integration
What you can commission
Your proposal identifies the deliverables selected for your engagement.
Application integration
Connect the agreed backend or application workflow to Ollama.
Prompts and structured output
Define task instructions and JSON schemas where machine-readable results are needed.
Validation and performance review
Check output structure, representative task quality, and observed response times.
Deployment guidance
Document configuration and any explicitly agreed cloud fallback behavior.
What we need from you
Share the application stack, target task, sample inputs, hardware specifications, network restrictions, and data-handling requirements.
How you review the result
Evaluate agreed samples on the target hardware and verify output validation, error handling, and permitted network behavior.
From scope to handover
- DefineAgree the workflow, deliverables, dependencies, and acceptance criteria.
- Build & reviewReview progress at agreed milestones and resolve scope questions early.
- Validate & hand overCheck the agreed scenarios and deliver the documented result.
Scope and support
Local hosting does not automatically establish privacy or security. Access controls, logs, network paths, and any optional cloud fallback must match the agreed data policy.
Revisions are handled within the agreed scope and milestones. Additional features and ongoing maintenance, monitoring, or optimization are separately scoped paid services.
Your next step
Tell us what you want to achieve.
Send the workflow, systems involved, and desired outcome. We will use these details to discuss a suitable scope.