EFFISCIANCE: AI Integration for Science

AI integration: Automations and specialized AI agents for science

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The global support offering to sustainably integrate AI into scientific practices

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AI Agents and Automation at the Core of your activities

Would you like to automate your scientific monitoring? Interact with your experimental data using natural language? Or rely on an assistant available at any time to answer complex questions?

Integrating AI opens new possibilities for laboratories and research organizations.

With EFFISCIANCE, we support you in the design, integration, and deployment of AI solutions directly connected to your data, tools, and working environments.

OUR AMBITION


AI Agents and Automation at the Core of your Scientific Processes

Our teams design and integrate operational AI solutions for scientific activities, relying on specialized AI agents and intelligent automation.

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AI agents can handle targeted, high-value-added tasks: analyzing, synthesizing, querying data, or assisting your teams in their daily activities. Agents do not replace human expertise: they enhance it.

Built from your data and tailored to your workflows, these agents integrate naturally into your scientific practices and evolve with your needs.

Trained, configured, and secured, they rely on targeted data sources to ensure reliable and fully controlled usage.

  • A scientific assistant capable of querying your electronic lab notebook (ELN) and experimental results
  • An experimental data analysis agent to help results interpretation
  • An image analysis agent to automate processing or extract key indicators
  • A writing agent to generate summaries or scientific reports
Vincent ECOLLAN, Directeur Technique et Innovation chez RITME

Technical and Innovation Director at RITME

Automation orchestrates complex scientific processes by connecting your tools, data, and working environments. It aims to make recurring tasks more reliable and faster, while ensuring reproducible results.

Designed to integrate seamlessly into your existing ecosystem, automation builds on your current scientific workflows.

When combined with AI agents, automation goes beyond simple task sequences to create truly intelligent workflows.

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Benoit Frachon, Directeur Projets EFFISCIANCE

EFFISCIANCE Project Director at RITME

  • Implementation of automated scientific or regulatory monitoring to collect, sort, and disseminate relevant information
  • Automated dissemination of scientific information to share results, summaries, or updates internally or externally
  • Automation of scientific report production to generate and update documents
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It is the combination of automation and AI agents that enables the transition from occasional use of AI to reliable solutions that are fully adopted by your teams.


A structured AI Integration Approach

To ensure useful and sustainable AI solutions, our integration approach is based on a clear and progressive process, from initial scoping to deployment and ongoing usage monitoring.

EFFISCIANCE diagram: AI integration with AI agents and automations
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Looking to streamline or automate your key scientific processes?


Real-World Use Cases: When AI Becomes Operational

These use cases illustrate how AI can be effectively integrated into your scientific environments.

Specialized super scientific assistant

An AI assistant trained in a specific scientific field, connected to technical and experimental data, and deployed in a secure environment. Designed to support teams on a daily basis, it quickly becomes a central research asset.

In particular, it enables you to:

  • Speed up information searches and exploration of scientific literature
  • Facilitate analysis and interpretation of experimental results
  • Automate the production of scientific summaries, notes, and reports

Observed gains:

  • Significant time savings in information searches, result interpretation, and reporting
  • More time dedicated to high-value scientific activities
  • Enhanced reliability of results
  • Accelerated innovation and publication cycles

Conversational assistant integrated into an ELN

A conversational assistant directly embedded within the electronic laboratory notebook (ELN), capable of querying protocols, results, and notes using natural language. It enables instant access to the collective memory of a laboratory.

Example queries:

  • What protocols were used for this compound?
  • What are the average results for experiment Y?
  • Write a summary of the tests conducted on project Z

The assistant explores data, notes, and reports to provide clear, contextualized answers, facilitating knowledge capitalization and transmission.

Observed gains:

  • Significantly accelerated information retrieval
  • Improved continuity between projects and scientific teams
  • Enhanced use and leverage of experimental data

Microsoft Copilot integrated into the work environment

Integrating Microsoft Copilot enables to leverage the power of Generative AI directly within your core applications and work environment, in a secure and governed framework.

This allows you to:

  • Compare, analyze, and synthesize scientific reports
  • Query inventories or internal knowledge bases

Observed gains:

  • Faster and more seamless access to information within everyday tools
  • Simplified analysis and comparison of scientific documents, reports, and data
  • Broader and more effective use of technical, scientific, and regulatory information

Every scientific environment is unique. So are our AI integration projects.
What are your needs?


THEY TRUST US

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Case Study DNDI

Case Study

Discover how DNDi is leveraging our EFFISCIANCE offering to accelerate its transition to Generative AI, bringing its teams on board around concrete, secure use cases tailored to their challenges.

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THE STRATEGIC PARTNER OF SCIENTISTS

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