Waters Corporation AI Adoption Tracker
Last updated: August 9, 2026
Overview
Waters Corporation, headquartered in Milford, Massachusetts, is a global analytical instruments and software company serving the life, materials, and food sciences industries [3]. The company is actively integrating artificial intelligence across its operations and offerings, with CEO Udit Batra describing AI as being tested in various ways including quality control screening, troubleshooting guidance, and customer support to guide users to appropriate columns and chemistry [1]. Waters is building digitally connected labs that enable 'Lab in the Loop' capabilities where data can be used to build and fine-tune AI models that facilitate generation and validation of new experiments [2]. The company has partnered with Amazon Web Services to develop the waters_connect System Monitoring software, leveraging cloud services and AI to provide real-time laboratory information access and enhanced decision-making capabilities [2].
AI Maturity Index
Radar Comparison
Peer Comparison: Waters Corporation vs healthcare
Based on 66 companies in sector
| Dimension | Waters Corporation | Sector Avg | Diff |
|---|---|---|---|
| Adoption | 3.0 | 3.7 | -0.7 |
| Proficiency | 3.0 | 3.5 | -0.5 |
| Impact | 2.0 | 3.6 | -1.6 |
| Overall | 2.6 | 3.6 | -1.0 |
AI Hiring Signals
Waters Corporation Job Postings Analysis
Tech vs Non-Tech AI Requirements
Top Departments by AI Mention Rate
Analysis
AI skills are increasingly expected across the organization, with 12% of all job postings mentioning AI. While tech roles lead at 24%, non-tech roles show growing AI requirements at 9%, particularly in Operations and Customer Service functions.
View Sample Job Postings (8 sources)
Key Metrics
AI Initiatives
AI-Enhanced Quality Control and Customer Support
March 2025
AI is being tested to assist with quality control screening, troubleshooting guidance, and providing customer support to guide users to appropriate columns and chemistry
Part of Waters' three-pronged growth strategy: embed execution excellence, deliver pioneering innovation, and scale position in high-growth areas
Partnership with L7 Informatics for AI-Ready Data
February 2025
Seamless integration between Waters' informatics solutions and L7|ESP platform to enable AI-driven workflows and continuous manufacturing capabilities
Unlocks AI-ready data, empowering customers to integrate Generative AI and Agentic AI into daily operations through process orchestration and real-time analytics
waters_connect System Monitoring with AWS Cloud Services
September 2024
Cloud-based solution leveraging Amazon Web Services to enable real-time remote access to lab information and AI-enhanced laboratory operations
Uses Amazon EC2, RDS, S3, and AWS IoT Greengrass to provide scalable computing capacity, database management, storage, and edge connectivity. Enables digitally connected labs and 'Lab in the Loop' capabilities
Digital Transformation and Lab Digitalization
June 2024
Comprehensive initiative to transform laboratory operations through digital technology, moving beyond paperless labs to true digital transformation
Focuses on reimagining laboratory operations to leverage artificial intelligence, generative AI, and machine learning. Emphasizes the need to reevaluate data creation, curation, and access
Frequently Asked Questions
Waters is integrating AI across multiple areas including quality control screening, troubleshooting guidance, customer support for column and chemistry selection, and building digitally connected labs that enable 'Lab in the Loop' capabilities for experiment generation and validation.
Waters partnered with AWS to develop the waters_connect System Monitoring software, leveraging cloud services like Amazon EC2, RDS, S3, and AWS IoT Greengrass to provide real-time, remote access to laboratory information and enhance decision-making capabilities.
Through partnerships with TetraScience and L7 Informatics, Waters provides cloud-native data integration, standardized data formats (FAIR and Allotrope), and seamless connectivity that unlocks AI-ready data for advanced analytics and AI/ML applications.
Lab in the Loop refers to digitally connected labs where data can be used to build and fine-tune AI models that not only facilitate generation of new experiments but also quickly validate them, creating efficient, collaborative, and data-driven laboratory environments.
Waters emphasizes that true digital transformation requires reimagining laboratory operations in the digital age to fully leverage AI, generative AI, and machine learning, rather than merely digitizing existing processes. This involves reevaluating data creation, curation, and access to enable novel scientific outcomes.
In Application
| Application | Vendor | Use Case |
|---|---|---|
| waters_connect System Monitoring | Waters Corporation (built with AWS) | Real-time laboratory information access, system monitoring, error response, and decision-making acceleration in chromatography laboratories |
| Empower Data Science Link | TetraScience | Cloud-native data science tools and visualization capabilities for chromatography data analysis and advanced analytics |
| Digital Lab Exchange (DLX) | Scitara | Integration Platform as a Service (iPaaS) for science, providing lab ecosystem interoperability and connected laboratory capabilities |
Sources
Waters Executives Discuss Growth, Goals for 2025
Increasing Lab Efficiency with Amazon Web Services to Enable Real-Time Remote Access to Lab Information
Waters Corporation - Wikipedia
Waters Corporation increases lab efficiency with AWS
Waters and TetraScience Partner to Deliver New Levels of Data Access and Insights with Empower Data Science Link
L7 Informatics and Waters Corporation Partner to Seamlessly Connect Waters' Informatics Solutions with L7|ESP
Digitalization Of The Lab: Rethinking The Lab In A Digital World
Waters Corporation: AI Use Cases 2024
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About AI Tracker
AI Tracker is a research project by Larridin, the AI execution intelligence platform.
Methodology: We analyze earnings calls, press releases, partnership announcements, and product documentation. All assessments are based solely on publicly available information—no private customer data is used.
Maturity Scoring: Each dimension is rated on a 4-tier scale (Nascent → Emerging → Scaling → Leading) based on evidence from public sources. Industry averages are computed as the median across all tracked companies in the sector.