Enterprise agentic AI platform helping businesses accelerate outcomes across customer service and employee productivity
The transaction layer for AI agents
Stage
Not given
MVP
Founded
Not given
Not given
Based in
US
US
Pricing model
Not given
Contact for pricing
Pricing
Not given
Per-execution pricing: one fee per execution that returns proof, charged only when proof comes back. Failed or cancelled runs cost nothing. Planning and approvals are free.
Key features
Voice and digital AI agents
Agent Blueprint Language (ABL™) for defining agent behavior and guardrails
Autoloop™ optimization engine for continuous agent improvement
ARCH™ AI solution architect
StateTrace™ execution path tracking
AI-native contact center capabilities
Enterprise Search functionality
Long-running process agents
Human-in-the-loop workflows
Multi-system process automation with audit trails
Boundary approval system for controlled execution
Checkpoint-based resumable execution
Verifiable proof of completion
Composable proof for multi-agent workflows
Per-execution pricing model
Integration with multiple agent frameworks
What makes it different
Autoloop™ continuously optimizes agents against goals from build through production
Purpose-built Agent Blueprint Language for formal agent definition and governance
StateTrace™ and root cause analysis for identifying performance gaps
Forward Deployed Engineers enabling production deployment in weeks
Recognized leader by Gartner, Forrester, and Everest Group
Pay only for verified results, not for attempts or planning
Human-approved boundaries ensure agent actions stay within limits
Interruptible checkpoints allow pausing and resuming executions
Proof is built into results for auditability and composability