Reliable AI for the Enterprise

De-risk innovating with data and AI, and build out enterprise-wide analytics

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Smarter data work starts with AI you can trust

Empower users with an AI agent (K-AI) that collaborates on and builds analytical workflows. Workflows serve as a transparent, documented summary of every action performed on data to give your users trust in AI’s work.

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"Some drag and drop tools for machine learning are really limited, but KNIME is not… It gives citizen data scientists the ability to create good models without knowing a programming language, and it increases the bandwidth of actual data scientists by allowing them to easily create more models and experiments."

Capterra
Verified review

A sophisticated & ever-expanding analytics & AI toolbox

Machine learning, predictive analytics, access to all popular LLM providers, and over 3000 other analytical capabilities for deep and meaningful insights, as well as safeguarding, – all without requiring coding.

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"KNIME is an excellent choice when searching for a solution to scale data analytics to business users. The open source model has the huge advantage of integrating the latest technologies and being very cost effective. KNIME is used by thousands of business users in my organization, delivering value in automation of data-intense workflows, knowledge discovery from data, and decision support."

Gartner Peer Insights
Verified Review

Safeguard, govern, and roll-out AI smoothly

Keep sensitive data safe, control and monitor your analytics and AI models, and be able to verify and explain your results.

genai gateway

Govern centrally

Get access to a governance toolbox that includes everything from role-based access control, to AI gateways, to audit trails and version control, all the way to flexible model deployment automation.

Automate & deploy safely

Set the proper guardrails for users to safely automate their work and reliably deploy their analytical workflows as REST APIs & data apps.

Roll out best practices globally

Empower experts to share best practices, set organizational blueprints for common data tasks and upskill entire business units on how to work with data responsibly.