Pricing built for enterprise reasoning infrastructure.
CoModel AI is priced by the HyperIntelligence Models you deploy, the API reasoning they perform, and the complexity of the business data they reason over.
Not seat-based. Usage-based. Model-aware.
Simple lookups consume fewer units. Simulations, optimizations, and agent-runtime decisions consume more.
Active HyperIntelligence Models
Each model represents a business function, process, or decision domain.
API Reasoning Usage
Users, agents, workflows, and applications call the model through APIs.
Model Complexity
Larger models require more reasoning infrastructure.
We convert model size into predictable usage tiers.
Lower dependency on large-model token consumption.
CoModel AI does not rely on sending every business question to a large general-purpose model. The HyperIntelligence Model performs structured reasoning through deterministic endpoints, while the language layer routes questions and explains results.
CoModel AI prices reasoning infrastructure, not token sprawl.
CoModel AI pricing is based on the reasoning infrastructure consumed by each active HyperIntelligence Model.
| API type | Example | Relative usage |
|---|---|---|
| Lookup | What does this metric mean? | Low |
| Relationship | What drives this outcome? | Medium |
| Impact | What will this affect? | Medium |
| Readiness | Is this decision ready? | Medium |
| Simulation | What happens if we choose this option? | High |
| Optimization | What is the best path? | Highest |
| Agent runtime | What should the workflow do next? | Variable |
| Model size | Rows × Columns | Multiplier |
|---|---|---|
| Small | Up to 100K cells | 1× |
| Medium | 100K–1M cells | 2× |
| Large | 1M–10M cells | 5× |
| Enterprise | 10M–100M cells | 10× |
| Strategic | 100M+ cells | Custom |
| Endpoint class | Weight logic |
|---|---|
| Lookup | Light |
| Drivers / relationships | Medium |
| Downstream impact | Medium-high |
| Decision readiness | Medium-high |
| Simulation | High |
| Optimization | Highest |
| Agent runtime | Depends on decision complexity |
Relative reasoning cost by endpoint class. Exact public prices are shared on request.
For sensitive environments, CoModel AI can be deployed with private language models, local models, or air-gapped infrastructure where external LLM calls are not required.
For high-value use cases, CoModel AI may support outcome-based pricing tied to recovered revenue, margin improvement, working capital release, denial reduction, valuation uplift, inventory savings, or pricing correction.