Skip to content
Squirro

Squirro

Squirro enables enterprises to unlock actionable insights from unstructured data using AI and machine learning, improving decision-making across customer service, risk management, and operational processes.

squirro.comZurich, Zurich, SwitzerlandFounded 2012

Last updated May 11, 2026

Industry
Enterprise AI / Data Intelligence
Business Model
SaaS
Target Market
Enterprise
Employee Count
51-200
Funding
$42M
Revenue Range
$1M-$10M
API Available
Yes
Market Position

Niche provider of augmented intelligence solutions for enterprise data analytics, primarily serving financial services and regulated industries

Overview

Squirro is an enterprise AI and Augmented Intelligence platform provider that specializes in helping organizations extract insights from unstructured data. While not a traditional AdTech company, Squirro operates in the broader data intelligence and enterprise AI space, focusing on use cases like customer intelligence, risk management, and predictive analytics. The company's platform combines natural language processing, machine learning, and search capabilities to help enterprises make data-driven decisions across various business functions including customer service, compliance, and operational efficiency. Founded in Switzerland, Squirro has positioned itself as a provider of AI-powered insights solutions for industries such as financial services, insurance, telecommunications, and manufacturing. The platform ingests data from multiple sources, applies AI and machine learning models, and delivers contextualized insights through customizable dashboards and applications. While Squirro is not primarily an AdTech company, its customer intelligence and data analytics capabilities can support marketing and customer experience optimization use cases within larger enterprise contexts.

Products & Features

Squirro Insights Engine

Core AI-powered platform for ingesting, analyzing, and extracting insights from structured and unstructured data

Customer Intelligence 360

Solution for creating comprehensive customer views and enhancing customer experience

Cognitive Search

AI-enhanced enterprise search capabilities with contextual understanding

Predictive Analytics

Machine learning-based predictive models for forecasting and risk assessment

Key Features
Natural Language Processing (NLP)Machine Learning and AI modelsUnstructured data processingContextual search capabilitiesCustom dashboard creationMulti-source data ingestionReal-time insights deliveryPredictive analytics
Use Cases
Customer 360 and customer intelligenceRisk management and compliance monitoringPredictive maintenanceMarket intelligence and competitive analysisCustomer service optimizationFraud detectionRegulatory complianceSales intelligence
Customer Segments
Financial ServicesInsuranceTelecommunicationsManufacturingHealthcareGovernment
Connections

Explore further

2 views