Choose and route the intelligence
ModelMesh
The model and intelligence decision layer across applications and providers.
The problem
Every application picks its own model and provider. Costs climb, quality varies, and there is no consistent way to evaluate, route, fall back or enforce policy.
What ModelMesh does
- Selects the appropriate model or intelligence capability for each workload.
- Routes requests by policy, quality, latency and cost.
- Evaluates models continuously against your own tasks.
- Falls back when a provider degrades or fails.
Scenario
Illustrative scenario: customer correspondence
Illustrative example, not a customer deployment.
- 01Simple enquiries are routed to a lower-cost model that meets the quality threshold.
- 02Complex complaints are routed to a stronger model.
- 03Personal data stays with a model hosted in-country, per policy.
- 04If a provider slows down, traffic falls back automatically.
- 05Cost per successful task is reported per workload.
Key capabilities
What you get with ModelMesh
- Model and provider selection
- Policy-based routing
- Continuous evaluation on your tasks
- Fallback and resilience
- Quality and latency monitoring
- Cost per successful task
- Data residency and sovereignty policies
How ModelMesh differs from OneCortex and MIP
OneCortex puts intelligence to work in agents and workflows. ModelMesh decides which model or capability those — and any other applications — should use.
MIP manages the whole intelligence estate. ModelMesh is one of the systems MIP can see and govern, alongside third-party model gateways.
Relationship with MIP
MIP can read ModelMesh routing, cost and quality data and, where authorised, apply policy changes. MIP also works with third-party model gateways.
About MIP →Consulting starting point
See ModelMesh against your scenario.
We demonstrate on a problem you describe, not a generic script.