Squirro is an enterprise GenAI platform with two halves that work together. The foundation, Squirro Neo, provides connectors, retrieval, a context layer, an agent framework and the governance that keeps AI answers accurate and auditable. On top sits the AI Agent Catalog: a library of ready-to-deploy agents mapped to specific business outcomes, from regulatory document search and RFP response to IT helpdesk deflection and legacy application knowledge capture.
The platform's argument is economic as much as technical. Rather than rebuilding connectors, retrieval, security and audit for every AI project, an organization assembles that foundation once and extends it agent by agent. You start where friction is highest, prove measurable value in weeks, then add the next use case on the same rails, so time-to-value shortens and the investment compounds.
Squirro is aimed squarely at regulated and large organizations: banking and financial services, insurance, investment banking, manufacturing, government, healthcare and life sciences, and telecom and utilities. Core capabilities include knowledge graphs and GraphRAG, agentic AI, a classifier, a privacy layer and AI guardrails, with deployment options spanning enterprise cloud, private cloud and on-premises. Pricing is not published; engagements begin with a demo and a scoped quote.
