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Insight Engine

The Squirro Insight Engine, Evolved.

Unlock the potential of the Squirro Enterprise Generative AI Platform, a next-generation insight engine that retrieves, reasons, and executes workflows across your enterprise data.

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Risk & Compliance WorkspaceLive sources · every answer cited · actions need your approvalGroup Risk · EU
Head of Liquidity Risk – quarterly reviewWhich counterparties breached our liquidity thresholds in Q3, and open a review ticket for each one.
Reasoned for 9 s across 4 steps9 s
Queried the risk mart in place · SQL · 1,240 Q3 exposures1.8s
Knowledge graph: 3 counterparties → 14 policy documents2.6s
ACL mirror: 2 documents withheld, not entitled in the source0.4s
Drafted 3 review tickets in ServiceNow · awaiting your approval1.9s
Squirro

Three counterparties breached the liquidity coverage threshold in Q3: Nordvik AG on 14 Aug, Halden Capital on 2 Sep, and Meridian Re on 27 Sep.1

All three are covered by the revised limit policy of June 2026; Halden's breach also triggers the escalation clause in section 4.2.23

3 review tickets drafted · ServiceNowApprove to create
1Risk mart · exposures_q3SQL · queried live · 1,240 rows
2Liquidity Limit Policy v3.1SharePoint · Group Risk · June 2026
3Escalation procedure · §4.2SharePoint · Compliance
4Counterparty masterSalesforce · 3 accounts linked
Answered in 9 s · every claim cited · 2 withheld by ACL · action logged

Trusted by Industry Leaders

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Proven Outcomes

Built for High-Stakes Environments.

Four industries where a wrong answer has a cost. In each, the platform is in production, audited, and measured.

Central Banks & Regulators € millions

Audit Efficiency.

Saved millions of euros in annual costs by replacing manual document review with automated, defensible AI audit support.

Save Money
Financial Services 5× faster

Risk Reporting.

Achieved 5× faster risk reporting and 40% fewer non-compliance incidents by unifying siloed data into a single compliance dashboard.

Reduce Risk
Manufacturing −92% MTTR

Support Resolution.

Slashed mean time to resolution by 92% for technical support issues, directly reducing SLA penalties.

Save Money
Government On-premise

Sovereign Intelligence.

Process classified information on-premise, ensuring no data ever touches the public internet.

Reduce Risk

The New Architecture

Crawl-and-Index Is Retired. GraphRAG and Data Virtualization Take Over.

We have replaced the traditional crawl-and-index model with a deterministic, generative architecture: the answer is grounded in your taxonomy, read from where the data lives, and shown only to the people entitled to see it.

01

Graph RAG

We combine vector search with knowledge graphs to locate the document and ground it in its context, forcing the AI to respect your enterprise taxonomy.

02

Data Virtualization

Squirro connects directly to your structured and unstructured data sources, querying real-time data where it lives without first having to ingest it.

03

ACL Inheritance

Squirro mirrors your existing access control lists in real time. If users aren't authorized to see data in the source, they won't see it in the AI output.

Your sourcesQueried live, not copied
PermissionsSource ACLs mirrored
RetrieveVector search + knowledge graph
ReasonGrounded in your taxonomy
ExecuteWorkflow action, logged

Every step is deterministic and auditable: the sources are cited, the entitlement check is logged, and the action waits for a human approval.

Scale & Integration

Unrivaled Scale. Proven at Enterprise Volume.

Legacy search tools crumble under enterprise volume. Squirro is proven to handle 10+ terabytes of data and 10,000+ users in production.

10+ TBof enterprise data in a single production deployment
10,000+users served by one platform, with strict tenant separation
100+connectors to the systems you already run

Seamless Integration.

ConnectorsSalesforce, SharePoint, ServiceNow, SQL, and 100+ others, read where the data lives.
WorkspacesMulti-tenant architecture ensures strict data separation between departments or clients.
DeploymentFully flexible: run on a virtual private cloud or on-premises, inside your own perimeter.

Enterprise Trust.

ISO 27001Certified information security management
SOC 2 Type IAttested; Type II in progress
GDPRCompliant by design, data stays in region
CCPACompliant, with full data-subject controls

Proven in Production

A Central Bank. 13 Million Documents, One Secure Perimeter.

Supervision team reviewing documents around a boardroom table
Central Banking · SupervisionDeployed inside the bank's own cloud
ChallengeThe bank needed to modernize its supervisory workflows across 13+ million documents while adhering to strict data sovereignty mandates.
The PivotMoving from manual document search to an AI-driven insight engine that could answer complex audit questions.
SolutionSquirro was deployed within the bank's virtual private cloud, so all data processing stays strictly within its secure perimeter. The platform automates risk identification, entity recognition, and reporting, unifying internal documents and news feeds while managing thousands of granular access control groups.
€20Msaved in three years by replacing manual document reviews
80%faster oversight across the supervisory workflow
13M+documents served from one cluster, resilient under heavy user volumes
1,000sof granular access control groups mirrored from the source
Outcome 01

Secure Data Sovereignty.

Local deployment ensures sensitive data remains strictly within the bank's secure perimeter.

Outcome 02

Contextual Knowledge Retrieval.

Advanced question answering and dashboards streamline workflows, improving access to relevant supervisory insights.

Outcome 03

High-Availability Scalability.

Cluster architecture manages millions of documents, ensuring resilient performance for heavy user volumes.

Outcome 04

Massive Efficiency Gains.

Replaced manual document reviews, saving €20M in three years while accelerating oversight by 80%.

Ready When You Are

Stop Searching. Start Transforming. 

Upgrade your legacy insight engine to a platform that actually works for your business. Or start with the guide on why GenAI projects fail, and what the ones that deliver do differently.

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