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Software Status:Active

About Squirro

Squirro is an enterprise gen AI platform for search, knowledge, and automation. It combines hybrid search with RAG, knowledge graphs, and conversational AI to surface insights from structured and unstructured data. The platform supports workflow automation, risk management, and compliance controls, with extensive integrations across enterprise systems. Deployment options include cloud and on-prem. Key capabilities: Hybrid search and RAG based answers Knowledge graph and contextual insights Workflow automation and governance tools Broad enterprise integrations Flexible deployment and security controls Best for: Enterprises building AI powered knowledge and search.

Squirro Details

Vendor
Squirro
Year Launched
2012
Location
Squirro Americas Inc. 28 Liberty St. 6th Floor New York, NY 10005
Deployment
cloud, on premise, windows, linux
Training Options
documentation, videos, live online, in person
Countries Served
All Countries.
Languages
English, German, French, Spanish, Italian, Dutch, Portuguese, Russian, Japanese, Chinese, Korean
Users
Data analysts, IT professionals, Risk management teams, Business intelligence (BI) teams, Compliance officers, Marketing strategists, Customer experience managers, Financial advisors, Research analysts, Operations managers
Industries Served
Financial services, Insurance, Healthcare, Manufacturing, Government, Telecommunications, Energy, Retail, Pharmaceuticals, Technology
Tags
Artificial Intelligence, Squirro

Squirro's In-App Market Place

Does Squirro have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), CHF (CHF), JPY (¥), CAD (C$), AUD (A$), SGD (S$), HKD (HK$), CNY (CN¥)

Pros & Cons

  • Strong support during the implementation process, ensuring a smooth transition.
  • Continuous further development ideas that help keep the software up-to-date.
  • Utilizes Artificial Intelligence to maximize efficient data management.
  • The application's complexity can be challenging for small to medium-sized enterprises (SMEs) in Switzerland.
  • Some features are missing, such as filtered data research, which could enhance functionality.

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