Granulair OS
The right model for every task. At the right cost.
Every task goes to the model that does it best. Predictable costs, no lock-in.
Per taskmodel choice
Predictablemonthly AI cost
No lock-inswitch vendors any time
The problem
One AI model for everything is expensive and fragile.
Pay too much, switch too late.
Today
- One model for all. The priciest model reads every timesheet.
- Surprise bills. Costs grow and nobody sees why.
- Vendor lock-in. A better model means rebuilding.
- Quality unknown. New versions go untested.
With Granulair
- Matched to the task. Simple steps fast, hard ones strong.
- Costs under control. Budgets per workflow.
- Swap freely. New models plug straight in.
- Tested before switching. Tested on your cases first.
How it runs
What happens to every task.
Runs inside every workflow, out of sight.
Task
Work arrives
A timesheet to read, a CV to match.
WorkflowsAgents
Orchestrator
Picks a model
By task, cost and data rules.
Routing
Orchestrator
Runs and checks
Unsure output retries on a stronger model, then goes to a person.
Fallback
Intelligence
Measures
Quality, speed and cost per task.
Evaluation
Result
Done right
Model and cost logged.
Audit trail
Works with
Anthropic ClaudeOpenAIGoogle GeminiMistralEU-hosted modelsOpen-source models
What it handles
What the orchestrator handles.
Routing per task
Each step to the best, cheapest model.
Cost control
Budgets per workflow or team.
Evaluation
New models tested on your cases.
Fallbacks
If a provider fails, work moves on.
Data rules
Sensitive data only where you approve.
Reporting
Quality, speed and cost in one view.
Questions
What firms ask first.
Which models do you support?
Anthropic, OpenAI, Google, Mistral and EU-hosted models.
Is our data used to train these models?
No. Our terms exclude training on your data.
Can we use only EU-hosted models?
Yes. You set allowed regions per data type.
Does this replace the AI tools my team uses?
No. The MCP Gateway serves those tools.
