What challenges did Syensqo face before AI implementation?

Accelerate data-driven science and engineering workflows. Modernize R&D knowledge foundations. Enable scalable, governed agentic discovery across complex development cycles.

What was the impact of the AI solution?

Enabled faster innovation cycles. Improved collaboration across teams. Established a standardized operating model for AI-powered R&D workflows. Expanded access to scalable, cost-efficient cloud-based compute.

Source

Microsoft

Microsoft Discovery agentic R&D at scale (Syensqo, Science/Engineering)

Use case typeData platform modernizationUpdated Apr 22, 2026

Syensqo is scaling Microsoft Discovery across research and development and commercial organizations to unify scientific and business datasets, modernize R&D knowledge foundations, and support agentic discovery workflows. The company is extending these workflows on Azure infrastructure to connect data, high-performance computing, and engineering processes within a governed digital ecosystem.

Organization: Syensqo
Industry: Manufacturing
Location: Belgium
Published: April 2026

Reported outcomes

Strategic outcomes

Innovation & cultureAccelerated innovation cyclesOther strategic outcomeStandardized AI-powered R&D operating modelInnovation & cultureUnified scientific and business datasets for innovation-led growth

Primary read

Use case focus

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1Data platform modernization

Accelerate data-driven science and engineering workflows.
Modernize R&D knowledge foundations.
Enable scalable, governed agentic discovery across complex development cycles.

Scaled Microsoft Discovery workflows enterprise-wide.
Unified scientific and business datasets on a governed enterprise data backbone.
Extended agentic discovery and simulation workloads onto scalable Azure compute.
Integrated R&D and engineering workflows within a connected digital ecosystem.

Technologies

Microsoft Discovery Azure Azure HPC

Enabled faster innovation cycles.
Improved collaboration across teams.
Established a standardized operating model for AI-powered R&D workflows.
Expanded access to scalable, cost-efficient cloud-based compute.

Architecture

Microsoft Discovery is described as an extensible platform that brings together agentic orchestration, advanced reasoning, a graph-based knowledge foundation, and high-performance computing on Microsoft cloud infrastructure, with integration into existing business tools and partner solutions. Syensqo is scaling Microsoft Discovery workflows on Azure to centralize datasets, expand cloud compute, and connect R&D and engineering workflows in a governed digital ecosystem.

Implementation partners1

PhysicsX

Sources & evidence1

Groundedness: 4/5Type: Blog PostPublished: Apr 22, 2026Publisher: MicrosoftEvidence: VendorConfidence: Medium

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