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Transformative Capabilities webinar

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THE END OF AN ERA

We do not regret to announce the death of the Electronic Lab Notebook

While its aim to capture scientific data in a standardized, reusable way was laudable, onerous workflows and ultimate lack of value generation contributed to its demise.

1990-2025

The traditional ELN failed to deliver on its promise of seamless data capture and meaningful insights, creating barriers instead of solutions for research teams.

scientists (ELN Feeding Factory) chained to their desk

ELNs are

Draining Motivation

  • Data entry takes product experts away from what they enjoy doing
  • If they can’t see immediate value from feeding a system of record, they won’t be motivated to do so

Delaying Value

  • Companies spend time and money capturing data that will never generate value
  • The data myth, prevents them from starting with AI straight away

Free the Scientists - Let the scientist do sciencing!

Not Actually Protecting IP

  • ELN’s stem from signing the bottom of your lab notebook
  • They were designed for Pharma to meet FDA rules and prove date of invention
  • IP has moved on – patents are now granted on a first-to-file basis

No Data, No Problem

Don’t let data hold you back from from AI

  • Citrine’s customers have a variety of data landscapes when they start using AI
  • Most start with fewer than 100 datapoints – and that is ok
  • Even when no relevant data is available, AI still accelerates development

Chart showing starting amount of data for AI projects

Data Utilization Drives Data Harmonization

Start with minimal data > Project 1: Demonstrate business value and learn about your data > Create and implement a Data Strategy, Start Scaling
Your first AI-driven project will:
  • Show your team how data harmonization leads to project success
  • Teach you what data is valuable before large-scale investment
  • Help you create a data strategy with buy-in from the whole team driven by tangible results

Introducing OMNI Universal Data Harmonizer
Launching on December 10th, Omni redefines how organizations prepare and leverage data. It will seamlessly ingest and harmonize information from TDS and SDS, spreadsheets, databases, and reports, transforming them automatically into materials and process-aware machine learning datasets.

Automated Ingestion: Upload – PDFs, Excel, databases

Smart Harmonization: Automatically structures and cleans data

Expert Validation: Quality control with minimum manual effort

NEW Cutting-Edge Foundational Model AI tooling; Scientist validating not entering data

What next?

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Smart Data Practices for AI-driven Research and Development
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Join us for an insightful webinar on “Smart Data Practices for AI-driven Research and Development,” where you’ll learn how to optimize your data strategies to harness the power of AI. AI is changing the research landscape and the role of those in product development. How data is captured will...
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ELN/LIMS or Materials Informatics (AI/ML)?
White Paper – ELN/LIMS or Materials Informatics (AI/ML)?
Many R&D leaders embarking on a digital transformation journey face a common dilemma: should you implement an Electronic Lab Notebook (ELN), a Laboratory Information Management System (LIMS), or a Materials Informatics platform 3 and in which order?
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