Continuous AI Runtime Intelligence
Bring your own infrastructure or use Skhemata-managed evaluation compute. Platform intelligence and variable compute usage stay clearly separated.
Developer → Continuous → Enterprise
The platform fee covers Skhemata’s evaluation and optimization intelligence. Evaluation Compute Credits cover managed experiments.
Select a plan to compare your options. Use the arrow keys to move between plans.
Explore workload-specific AI evaluation and optimization.
Bring your own inference infrastructure
Continuous model, runtime, and infrastructure optimization for production AI workloads.
$100 Evaluation Compute Credits / month
Private infrastructure, sovereign deployments, and advanced enterprise controls.
Custom Evaluation Compute Credits or committed usage
Developer plan selected.
Continuous intelligence
Continuous compares new options with the workload evidence you already trust and surfaces candidates worth validating.
Recommended for validation against your production workload.
Evaluation Compute Credits
Evaluation Compute Credits are used when Skhemata runs model evaluations, benchmarks, quantization tests, runtime experiments, and other optimization workloads using Skhemata-managed compute.
Connect an existing supported OpenAI-compatible endpoint and keep infrastructure costs under your control. Developer includes no managed-compute credits.
Customer-managed execution does not consume Evaluation Compute Credits.Pay as you go by purchasing credits on any plan. Continuous also includes a $100 monthly allowance, and additional credits can be purchased from the dashboard.
Credits are dollar-denominated managed-compute value. Usage is charged under Skhemata’s managed-compute pricing policy.Your models, workloads, and production data can remain on your infrastructure.
Detailed comparison
Limits intentionally remain descriptive until they are enforced by the product and billing backend.
| Capability | Developer | Continuous | Enterprise |
|---|---|---|---|
| Workload evaluation | Limited | Higher limits | Custom |
| Model comparison | Included | Included | Custom |
| Harness testing | Basic | Included | Custom |
| Tool-call validation | Basic | Included | Custom |
| Structured-output validation | Basic | Included | Custom |
| Regression testing | Manual | Included | Custom |
| Capability | Developer | Continuous | Enterprise |
|---|---|---|---|
| Quantization testing | Limited | Included | Custom |
| Runtime comparison | Basic | Included | Custom |
| Hardware comparison | Limited | Included | Custom |
| Provider comparison | Limited | Included | Custom |
| Cost optimization | Basic | Included | Custom |
| Continuous model-release evaluation | Included | Custom | |
| Optimization alerts | Included | Custom |
| Capability | Developer | Continuous | Enterprise |
|---|---|---|---|
| Workloads | Limited | Higher limits | Custom |
| Team collaboration | Individual | Included | Custom |
| API access | Limited | Included | Custom |
| Result history | Basic | Longer | Custom |
| Scheduled evaluations | Included | Custom | |
| Production trace sampling | Included | Custom |
| Capability | Developer | Continuous | Enterprise |
|---|---|---|---|
| Bring your own provider | Where supported | Where supported | Custom |
| Skhemata-managed evaluation compute | Separately funded | Included + usage | Custom |
| Kubernetes | Limited | Where supported | Custom |
| Bare metal | Limited | Where supported | Custom |
| VPC / private cloud | Where supported | Custom | |
| Air-gapped deployment | Custom |
| Capability | Developer | Continuous | Enterprise |
|---|---|---|---|
| SSO/SAML | Included | ||
| RBAC | Included | ||
| Audit logs | Included | ||
| SLA | Custom | ||
| Custom retention | Custom | ||
| Dedicated support | Included |
Deployment flexibility
Keep your optimization strategy independent from a single model vendor, inference engine, or hosting environment. Skhemata helps you evaluate the combinations that matter for your workload.
Evaluate supported proprietary and open models against the same workload evidence, quality criteria, and operating constraints.
Measure how supported runtimes, quantization choices, and execution settings affect latency, quality, throughput, and cost.
Use compatible customer-managed infrastructure or Skhemata-managed evaluation compute, with enterprise deployment paths scoped to your environment.
Designed around your operating boundaries. Availability depends on supported integrations, security requirements, and the selected deployment model. Enterprise configurations are scoped with the Skhemata team.
Ready when you are
Begin on the free Developer plan, or talk with us about a production-scale evaluation and deployment path.