Pricing and pilot path
Start with proof. Scale into production control.
DriftGard is usually adopted through a scoped pilot, then expanded into runtime governance once policies, risk coverage, and evidence workflows are validated.
What moves scope
Pricing depends on the deployment and governance surface, not a one-size-fits-all seat count.
Evaluation volumeNumber of AI decisions, tool calls, and workflows governed.
Deployment modelHosted, private, local evaluation, or sovereign requirements.
Compliance scopeFrameworks, evidence workflows, support, and auditor requirements.
Plans
Three adoption paths.
Choose the path that matches where your AI agents are today.
Pilot Program
A fixed-scope engagement to validate DriftGard against one high-risk AI workflow.
- Scoped policy and risk review
- Backtests and audit logging
- Compliance evidence export
- Recommended first step
Production Governance
Runtime enforcement and compliance evidence for production AI systems.
- Real-time SDK evaluation
- Tool call validation
- Drift and cost alerts
- Local evaluation option
Enterprise
Full platform for scale, sovereignty, support, or partner requirements.
- Human review workflows
- Advanced testing and release workflows
- Private and sovereign deployment
- Dedicated support
Want a clear pilot scope?
Tell us the AI workflow, tools involved, deployment model, and compliance frameworks. We will recommend the right pilot path.
Request Pilot Scope