Frontier Models
Our model layer uses frontier-class models when the economic value of stronger reasoning outweighs the additional cost, latency, provider dependence, or deployment constraints.
Where they earn their place
We do not route every workload to the most capable available model.
Frontier inference is most useful where capability materially changes the answer: difficult synthesis, ambiguous investigations, broad reasoning, complex tool use, or high-value decisions spanning multiple sources.
Workload selection
Typical routing factors include:
- Reasoning difficulty
- Ambiguity
- Context requirements
- Tool-use complexity
- Output requirements
- Latency tolerance
- Privacy constraints
- Cost per task
- Model availability
A routine extraction workload and a multi-source operating investigation should not automatically share the same inference path.
Where a smaller or private model clears the required quality threshold, the simpler execution path can be preferable. Where a stronger reasoning model changes the quality of a consequential answer, the higher inference cost may be economically irrelevant compared with the business decision being supported.
Provider abstraction
The value of our platform is designed to sit above an individual frontier-model provider.
Models change. APIs change. Rate limits, availability, context limits, structured-output behavior, and tool-use capability can change independently. Our architecture therefore treats a frontier model as an execution resource rather than as the identity of the product.
- Workload
- Routing + policy
- Selected model endpoint
- Validation / verification
- Result
This also allows improved future models to strengthen the platform without requiring the surrounding company data, ontology, permissions, retrieval, evaluations, or automation logic to be rebuilt.
Constraints
Frontier models introduce real operating dependencies:
- External availability
- Variable latency
- Rate limits
- Provider changes
- Privacy considerations
- Model-version changes
- Inference cost
They also remain probabilistic systems. Higher capability does not eliminate the need for deterministic validation, evidence, evaluations, approval boundaries, or fallback where the consequence justifies them.
Our position is not frontier first. It is frontier where frontier capability earns its place in the workload.