Zurich, Switzerland – June 26, 2026 – Squirro, a global leader in secure, private, and accurate AI-driven enterprise intelligence solutions, has been named across 15 Gartner research assets published in the first half of 2026 – spanning generative AI, banking, government, ITSM, and enterprise AI search. We see this breadth of inclusion as confirmation that the architecture we have been building is now where the enterprise AI market is headed.
The reports span nine Hype Cycles, one Market Overview, and four thought leadership publications. The coverage runs from foundational AI infrastructure to domain-specific deployments in regulated industries – and that breadth is the point.
Below is the complete list.
Hype Cycles – AI & Data
- Hype Cycle for Generative AI, 2026
- Hype Cycle for Data Science and Machine Learning, 2026
- Hype Cycle for Natural Language and Unstructured Content Technologies, 2026
Hype Cycles – Infrastructure & Engineering
- Hype Cycle for Hybrid AI Infrastructure, 2026
- Hype Cycle for AI in Software Engineering, 2026
- Hype Cycle for AI in ITSM, 2026
Hype Cycles – Industry & Domain Specific
- Hype Cycle for Enterprise Applications, 2026
- Hype Cycle for Artificial Intelligence in Banking, 2026
- Hype Cycle for Human and Social Services in Government, 2026
Enterprise AI Search & Knowledge Management
- Market Overview for Enterprise AI Search
- Effective Knowledge Management Requires a Portfolio of Applications
- AI Implementation Guide: Knowledge Management Chatbots
- Evaluating AI for Document Management
AI Strategy & Governance
- AI Vendor Race: AI Guardrails Will Protect 75% of New AI Deal Transactions
Listed for RAG or GraphRAG in 7 of 15 reports.
Seven of the fifteen reports cite Squirro for retrieval augmented generation or GraphRAG – three for GraphRAG specifically. GraphRAG has featured in Gartner Hype Cycles for a number of years now, and Squirro has been part of that conversation. What 2026 confirms is that RAG and GraphRAG continue to gain traction as the standard approach for enterprise AI accuracy – and that our 2024 acquisition of Synaptica, a leading taxonomy and ontology management provider, was a well-timed investment.
GraphRAG combines knowledge graphs with RAG to improve the precision and contextual relevance of AI retrieval, using graph traversal alongside semantic vector search to surface connected information that vector search alone would miss. Where standard RAG is inherently probabilistic, knowledge graph integration significantly counteracts that tendency, grounding retrieval in structured relationships rather than similarity scores.
Banking, government, and enterprise
Squirro is named in Hype Cycles covering banking, government, and enterprise applications – three distinct regulated environments with different compliance requirements and risk profiles. The Squirro platform serves customers including the European Central Bank, Deutsche Bundesbank, and Oversea-Chinese Banking Corporation, among others. Across those deployments, the shared requirement is the same: AI outputs that are accurate, permissioned, and auditable.
For a deeper look at Squirro's inclusion in the Gartner Market Overview for Enterprise AI Search, see our dedicated analysis.
AI guardrails & output integrity
Squirro is cited in Gartner's governance brief on AI guardrails under the capability label "Output Integrity." The Squirro platform enforces four categories of guardrail – role, governance, brand, and performance – validating AI outputs in real time before they reach the user. Further bolstering output integrity, every action taken by the system is time-stamped, versioned, and logged, creating a complete chain of custody. In regulated industries, this auditability is what separates a viable enterprise deployment from a proof of concept that never ships.
Recognition across multiple categories
Fifteen reports covering infrastructure, domain verticals, knowledge management, and governance is a cross-section of where enterprise AI decisions are being made in 2026. The questions that matter at this stage of enterprise AI adoption are not whether a system can generate a plausible answer, but whether it can be trusted, audited, and deployed at scale in a regulated environment. Those are the questions Squirro was built to answer.
Download: Gartner Market Guide for Enterprise AI Search – read the full analyst perspective on the vendors shaping this category.
About Squirro: Squirro is the enterprise AI platform built for regulated industries, streamlining enterprise search and automating complex, custom workflows. Secure, private, scalable, permissions-aware, and fully auditable, the platform ensures that every result is accurate and verifiable. Squirro powers agentic AI applications that are grounded in the organization's unique enterprise ontology.
Founded in 2012, Squirro is a fast-growing company with dedicated teams in Switzerland, the United States, the UK, and Singapore. Our customers include the European Central Bank, Deutsche Bundesbank, Standard Chartered Bank, Oversea-Chinese Banking Corporation, Henkel, and Siemens.
