A reusable orchestration framework for building, deploying, and managing collaborative AI agents across enterprise workflows.

• • Agent orchestration and routing
• • Built-in state and memory management
• • Tool-calling and MCP-compatible integrations
• • Human-in-the-loop checkpoints

A production runtime layer for deploying AI agents and RAG pipelines reliably at enterprise scale.

• • Model-agnostic execution layer
• • Observability and tracing built in
• • Governance and access controls
• • Multi-cloud deployment support

Pre-built AI copilots for retail and commerce use cases, grounded on product and inventory data.

• • Customer-facing shopping assistants
• • Store-associate operational copilots
• • Inventory and demand Q&A agents
• • Built to integrate with Skudot Commerce platforms

Enterprise knowledge infrastructure combining RAG, search, and structured data access in one platform.

• • Unified enterprise search
• • Hybrid retrieval architecture
• • Document and knowledge ingestion pipelines
• • Role-based access and governance

End-to-end autonomous systems that execute multi-step business processes with minimal human intervention.

• • Multi-step business process automation
• • Exception handling and escalation logic
• • Integration with enterprise systems (CRM/ERP)
• • Continuous learning from outcomes