KNIME Software Overview

KNIME-software enables sophisticated analysis from data prep to AI/ML, including LLMs, with automated workflows and a genAI assistant. Collaboration and interactive data exploration are also supported.

Use Cases

Customers recommend Workflow Management, Collaboration, Engaging And Following Up, as the business use cases that they have been most satisfied with while using KNIME Software.

Other use cases:

  • Helpdesk Management
  • Onboarding
  • Competitive Intelligence
  • Sending & Publishing Communications
See all use cases See less use cases

Business Priorities

Manage Risk is the most popular business priority that customers and associates have achieved using KNIME Software.

KNIME Software Use-Cases and Business Priorities: Customer Satisfaction Data

KNIME Software works with different mediums / channels such as Phone Calls.

Peer review evidence (same sources as the product rating summary)

"...KNIME Server is the enterprise software for team-based collaboration, automation, management, and deployment of data science workflows as analytical applications and services...." Software Overview
"...KNIME Server is the enterprise software for team-based collaboration, automation, management, and deployment of data science workflows as analytical applications and services...." Software Overview
"KNIME Analytics Platform helped KLM Royal Dutch Airlines automate compliance tasks. KLM faced slow, manual processes and risked high costs from non-compliance. KNIME and GenAI automated data extraction from complex regulations. This freed up 3 full-time employees and reduced compliance cycle times from weeks or months to just hours. KLM also saved 4 man-hours per compliance review and improved data accuracy." https://www.knime.com/success-story/how-klm-reduced-compliance-time-with-knime-and-genai

KNIME Software Customer wins, Customer success stories, Case studies

How can KNIME Software enhance your Workflow Management process?

Yamaha Motor Co., Ltd. - Manufacturing - Very Large

Iwata, Japan

Yamaha Motor used KNIME Analytics Platform to upskill over 1,500 employees in data science and analytics. The company needed more data-literate staff to handle requests and drive data-driven decision...s. KNIME's low-code tools enabled employees from all departments to learn analytics without prior coding experience. Yamaha now has citizen data scientists across the business, improving collaboration and decision making. KNIME helped Yamaha build a thriving internal data community and deploy real-world analytics solutions at scale.

BGIS - Real Estate - Large

Markham, Canada

KNIME helped BGIS analyze 30,000 work order descriptions using natural language processing. This replaced manual review and saved $420K annually on a $4M lighting retrofit project. Topic modeling ide...ntified cost reductions and linked savings to specific retrofit actions. BGIS improved auditability, centralized information, and sped up client analysis requests. KNIME enabled business users to develop workflows quickly and accurately.

Audi - Automotive - Very Large

Ingolstadt, Germany

Audi used KNIME to automate supply chain forecasting with machine learning. This improved warehouse management and reduced production delays. Automating one workflow saved Audi €30,000 per year. Debu...gging expenses dropped by 80%. KNIME enabled faster, more accurate decisions and less manual work. Audi now reacts quickly to supply chain risks and shares insights across teams.

AMD - Semiconductors - Very Large

Santa Clara, USA

AMD uses KNIME Analytics Platform to process and analyze large market intelligence data sets. The team automates data collection, cleaning, and visualization, replacing slow, manual spreadsheet work.... KNIME's visual workflows let anyone at AMD build, share, and reuse analytics processes without coding. This speeds up forecast delivery and enables seamless integration with tools like PowerBI and Snowflake. AMD now delivers up-to-date market insights faster and plans to expand KNIME use across the business.

Anadolu Sigorta - Insurance - Large

Istanbul, Turkey

KNIME Analytics Platform helped Anadolu Sigorta improve fraud detection by 51%. The company built an in-house solution to replace a costly third-party tool. Claims are now processed in real time, wit...h results in 5 to 10 seconds. Anadolu Sigorta saved 146 million Turkish Liras by preventing fraudulent payments. False positives dropped by 31%, and organized fraud detection time fell from months to hours. Over 200 staff learned data science skills using KNIME.

Allente - Telecommunications - Large

Stockholm, Sweden

Allente used KNIME to build a recommendation engine for its streaming services. The platform helped Allente connect cloud and on-premises data, automate data pipelines, and segment customers. With KN...IME, Allente deployed machine learning models to deliver personalized content recommendations. The solution predicts viewer preferences, reduces churn, and improves customer lifetime value. KNIME's low-code tools made advanced analytics accessible to non-technical teams at Allente.

KNIME Software Features

  • Low
  • Medium
  • High
FEATURE RATINGS AND REVIEWS
AI Powered

3.70/5

Read Reviews (8)
Custom Reports

4.03/5

Read Reviews (18)
Analytics

3.76/5

Read Reviews (24)
CAPABILITIES RATINGS AND REVIEWS
AI Powered

3.70/5

Read Reviews (8)
Custom Reports

4.03/5

Read Reviews (18)
Analytics

3.76/5

Read Reviews (24)

KNIME Software Integrations

KNIME Software integrates with a wide range of software applications through its robust data import and export capabilities.

Data Import
Data Export

Software Failure Risk Guidance

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for KNIME Software

Top Failure Risks for KNIME Software

Knime News

Product

Knime updates framework for agentic AI development

KNIME has updated its framework for agentic AI development, enhancing its platform with no-code capabilities and tools like Agent Prompter and Agent Chat View node. These updates simplify AI agent creation, allowing users to build agents directly from existing workflows. The integration with Microsoft Fabric and access to AI models from various providers further enrich KNIME's offering, strengthening its competitive position in the market.

Product

How We Automated the Dunning Process with AI and KNIME

KNIME has automated its dunning process using AI, significantly reducing manual effort from 15 to 3 minutes per case. The new system integrates data from Odoo and Zendesk, automates invoice monitoring, and provides personalized email suggestions. This enhances scalability, auditability, and customer communication, demonstrating AI's role in process redesign and team empowerment.

Awards

KNIME Named a Notable Vendor in Forresters 2026 AI Platforms Landscape Report

KNIME has been recognized as a Notable Vendor in Forrester's 2026 AI Platforms Landscape Report. This acknowledgment highlights KNIME's role in providing comprehensive AI solutions, including predictive, generative, and agentic AI applications. KNIME emphasizes transparency, control, and security in AI development, offering tools like visual workflows and an AI Gateway to ensure reliable and secure AI deployments.

Executive

KNIME Enters Into Next Phase of Growth With the Appointment of Trevor Kaufman as CEO

KNIME has appointed Trevor Kaufman as the new CEO, succeeding founder Michael Berthold. Kaufman, known for scaling SaaS businesses, aims to leverage KNIME's existing strengths to drive further growth. Berthold will remain as an advisor. KNIME continues to focus on democratizing data science through its open-source platform and commercial Business Hub.

Knime Profile

Company Name

Knime

Company Website

https://www.knime.com/

Year Founded

2008

HQ Location

Technoparkstrasse 1 8005 Zurich Switzerland

Employees

51-100

Social

Financials

SERIES A