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Squirro's Gen AI for Manufacturing

Squirro provides an Enterprise-Grade GenAI Platform that empowers organizations to extract, analyze, and act on critical insights—driving smarter decisions and enhancing efficiency with precision.

Unifying data fabric across all sources
Streamlining search and retrieval experience allowing users to surface ”hidden" knowledge assets
Unifying knowledge for faster collaboration

 

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ocbc-bank logo
Evalueserve logo
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Bank Of England logo
candriam logo
Natwest logo
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deutsche bundesbank eurosystem logo
standard chartered logo
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bertelsman foundation logo
hankel logo
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Reliable Answers in Seconds, While Lowering Cost

Built on the industry’s leading Insight Engine, our Enterprise GenAI Platform delivers accurate, reliable AI that builds trust and eliminates risk, making it the platform of choice in the world’s most heavily regulated industries.

Henkel Customer Success Story

94%
customer satisfaction
45+
connected data repositories
Henkel Customer Success Story
  • Henkel, the renowned German chemical and consumer goods company, trusted Squirro to develop its AI-powered knowledge hub, Nautilus, which provides the company’s technical and research & development community with curated information across a variety of strategic business units, technologies, and data sources in a one-stop shop.

  • The platform ingests more than 45 internal and external data sources in various formats and enriches them with Henkel’s specific taxonomy, allowing AI-driven pattern and concept detection and achieving high customer satisfaction.

Is It What You Need?
Precision, Security, and Scalability

Connect Seamlessly
with Your Existing Data

Break down data silos and integrate all of your existing data, creating a single source of truth. 
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Discover More from Squirro

Check out the latest from Squirro for everything on AI for business

Technical Guide: GenAI in Knowledge Management
Technical Guide: GenAI in Knowledge Management
Our Technical Essentials Guide outlines how the Squirro Enterprise GenAI Platform unleashes the potential of data-driven decision-making while driving efficiencies, accelerating innovation, and reducing costs.
Guide: Scaling Enterprise AI With Squirro
Guide: Scaling Enterprise AI With Squirro
Enterprise AI has the potential to revolutionize operations, but scaling beyond a proof-of-concept often introduces new challenges.
Semantic Enteprise Search for Manufacturing
Semantic Enteprise Search for Manufacturing
Henkel trusted Squirro to develop and maintain an AI-powered knowledge hub called Nautilus.

You Don’t Compromise on Security,
And Neither Do We

Explore the key elements of Squirro’s security-first design. These comprehensive security measures ensure safe and reliable AI deployment.

AI Guardrails

By integrating customizable AI Guardrails, the platform ensures AI responses are precise, compliant, and aligned with enterprise policies, thereby bolstering safety and reducing legal and operational liabilities.

Privacy Layer

The privacy layer safeguards sensitive data across all interactions, by ensuring that personal identifiable information (PII) that can be used to identify an individual are preventing from being exposed during AI processing.

Access Control

The Squirro platform uses query templates for ACL-based access control, enforcing user-specific query filters based on data retrieved from the login authority, e.g., active directory. This ensures that only authorized personnel can access specific information.

Secure Authentication

The Squirro platform supports SSO via any identity provider that supports SAMLv2 and offers a pluggable framework for custom integrations, giving IT teams full control over the authentication and authorization process.

Incident Detection

Squirro has processes in place for managing and resolving technical incidents and service disruptions, including incident detection systems for rapid identification and response to potential security breaches.

Network Segregation

Squirro can enhance data security by enabling network segregation for sensitive data using various methods including dedicated private cloud accounts, virtual private clouds, and subnets

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