STORM enables organizations to move AI agents from concept to production without heavy engineering overhead. Its natural-language workflow designer, Conductor, lets teams build, integrate, debug, and deploy agents through simple conversation.

At the data layer, STORM's agentic parsing goes far beyond conventional OCR, combining a model ranked #1 on the MDP-Bench benchmark with additional proprietary techniques to interpret complex documents, tables, graphs, and drawings in context—turning previously unusable data into AI-ready inputs. Building on this, the Agentic RAG engine delivers high-accuracy answers through a search-planning, retrieval, and synthesis pipeline powered by an embedding model ranked #1 globally on the MTEB leaderboards.

STORM supports multiple LLMs (Claude, GPT, Gemini, and proprietary models), integrates with channels such as Slack, Microsoft Teams, and Line, and offers air-gapped on-premise deployment for security- and compliance-sensitive industries. Proven across banking, manufacturing, and finance, STORM helps enterprises deploy production-grade AI agents with the flexibility, accuracy, and scalability that single-function tools cannot match.