The platform offers an orchestration layer that integrates human agents and AI services into programmable workflows, allowing enterprises to design pipelines via a visual builder or declarative JSON/YAML definitions. Its event‑driven engine handles task routing, state persistence, retries, and SLA enforcement, while providing REST/gRPC APIs, language SDKs, and real‑time monitoring for seamless integration into existing systems.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often face fragmented processes when trying to combine human workers with AI models, resulting in manual handoffs, inconsistent data flow, and limited scalability of hybrid operations. Without a unified coordination layer, organizations struggle to monitor task status, enforce compliance, and optimize overall throughput.
Solution
The platform delivers an orchestration layer that unifies human agents and AI services into a single, programmable workflow. Users design end‑to‑end pipelines via a visual builder or declarative JSON/YAML definitions, specifying task types, routing rules, and success criteria. At runtime, an event‑driven engine dispatches work to either a human‑task queue or an AI inference endpoint, handling state persistence, retries, and SLA enforcement automatically. Integrated APIs and SDKs enable seamless embedding of the orchestration service into existing microservice architectures, while real‑time dashboards provide visibility into task progress, performance metrics, and audit logs. By abstracting the coordination logic, the solution reduces development overhead, shortens time‑to‑value for AI‑augmented use cases, and ensures consistent governance across hybrid workflows.
Target Audience
Primary customers are enterprise teams building customer‑service automation, claims processing, or any human‑in‑the‑loop AI applications—such as contact centers, insurance providers, and fintech firms—who need a reliable orchestration framework to blend human judgment with machine intelligence.
Features
- Drag‑and‑drop workflow designer with support for conditional branching, parallel execution, and human‑in‑the‑loop nodes
- RESTful and gRPC APIs plus language‑specific SDKs (Python, Node.js, Java) for programmatic workflow creation and management
- Event‑driven task router that dynamically assigns work to human agents via integrated ticketing systems or to AI services via containerized inference endpoints
- Built‑in state store with versioned context objects, enabling data sharing between successive human and AI steps
- Real‑time monitoring console with KPI charts, SLA alerts, and per‑task audit trails for compliance reporting
- Plug‑and‑play connectors for popular CRM, RPA, and messaging platforms to reduce integration effort
- Scalable cloud runtime with auto‑scaling compute pools and support for on‑premise deployment behind firewalls
- Role‑based access control and end‑to‑end encryption to protect sensitive workflow data