LIFE SCIENCES

The governed data foundation for life sciences

The regulated, fragmented, high-stakes world of life sciences has met its match. Stibo Systems brings product, material, supplier, site, and regulatory data into one trusted, auditable foundation. Built for AI- and agent-ready operations, without replacing any of the systems you already run.

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Trusted by leading life science organizations

The benefits of trusted life sciences data

A consistent operational foundation

Product, material, formulation, specification, supplier, site, and packaging data. Govern it all in one place instead of reconciled separately, system by system.

Faster product launch, technology transfer, and site onboarding

Reusable, governed definitions and hierarchies cut the friction at every handoff, from formulation to scale-up to commercialization.

Less reconciliation across systems

One governed source, instead of manual cleanup and cross-checking every time the same data lives across ERP, product lifecycle management (PLM), manufacturing execution systems (MES), laboratory information management systems (LIMS), quality management systems (QMS), regulatory information management (RIM), and partner ecosystems.

Stronger traceability and governance

Lineage, version control, effective dating, and approval workflows — the evidence trail built in, not bolted on.

Better visibility into suppliers, materials, and manufacturing capability

A clearer view of your external manufacturing network — qualified suppliers, approved materials, site capabilities — with less back-and-forth to get there.

More resilience through modernization and change

A governed foundation that makes SAP S/4HANA transformations, acquisitions, separations, and portfolio changes easier to execute. Not harder.

Governed, auditable context for analytics and AI

Permissioned, traceable operational data, built for human oversight — not disconnected records pulled from a dozen systems.

How trusted master data supports life sciences teams

Manufacturing and operations

Trusted product, material, site, supplier, and manufacturing capability data supports smoother technology transfer and more consistent standardization across sites.

Quality and validation

Controlled definitions, lineage, approvals, effective dating, and traceability provide the evidence and governance that validated processes depend on.

Regulatory affairs

Governed regulatory attributes keep device, product, market, packaging, label, and submission supporting data consistent as requirements shift.

Supply chain and procurement

Qualified supplier and site records, approved material visibility, and governed relationships shorten the response time when disruption hits.

R&D, chemistry, manufacturing, and controls (CMC), and product development

Continuity from formulation and specifications through scale-up, transfer, and commercialization means nothing gets lost at the handoff.

IT, data, and enterprise architecture

A multidomain operational data authority complements ERP, PLM, MES, LIMS, QMS, RIM, and the rest of your stack, rather than adding another system to reconcile against.

Digital, analytics, and AI leaders

Reliable, permissioned, auditable operational context gives you a foundation built for regulated environments, not retrofitted for them.

Commercial and product leaders

Consistent product, pack, market, and channel data stays aligned across every region you operate in.

Where Stibo Systems helps life sciences companies most

CDMO and CMO
Every sponsor brings its own product, material, and specification requirements — and expects them to be kept separate from every other client on your network. We help you govern sponsor-to-site technology transfer and manufacturing capability data with the multi-client segregation that keeps each relationship clean and audit-ready.

Innovator pharma
CMC data, global product and material hierarchies, and regulated change control are the master data behind a molecule’s entire journey from lab to launch. We govern it as one connected foundation, so external manufacturing and AI initiatives inherit data they can actually trust.

MedTech and IVD
Device data — like UDI-DI and Basic UDI-DI relationships, packaging hierarchies, market-specific labeling — multiplies fast across regions. We keep it governed and connected, so GUDID and EUDAMED readiness is a byproduct of good data, not a scramble before submission.

Generic and OTC and consumer health
Manage the same molecule across dozens of pack sizes, dozens of markets, and unique labeling requirements in every region. We govern SKU, pack, and market-variant data so portfolio changes — including carve-outs and separations — don’t mean rebuilding your data from scratch.

Biotech and biopharma
Scale-up means your product, material, formulation, and site data must hold together through every phase change and every new CDMO relationship. We give that data a governed foundation built to move with you.

Cross-industry
Supplier data, site data, product information, and reference data are the operational backbone of any life sciences business, regardless of subsegment. We help keep it governed so it’s safe to be used by AI.

case studies

Life sciences brands using trusted data to scale

Why life sciences brands choose Stibo Systems

A complementary role, not a replacement

Our solutions govern the master data your regulated processes depend on — alongside ERP, PLM, MES, LIMS, QMS, and RIM, not instead of them.

Built for regulated complexity

We provide deep governance for material, specification, and site data, with lineage, version control, and approval workflows shaped around how regulated life sciences actually works.

Validation-ready when configured and governed by you

Get configurable workflows that support your validation processes, while validation itself stays your organization's responsibility.

A multidomain foundation across subsegments

CDMO, innovator pharma, MedTech — we help govern each subsegment’s product, material, supplier, and site data on its own terms, not forced into one model.

Governed context for AI, with human oversight built in

Our solutions provide permissioned, auditable operational data for AI initiatives. Oversight is part of the design, not an afterthought.

Annual report: Our Year in Review

We’ve delivered the strongest financial performance in our history, driven by continued execution of our strategy and the increasing impact of investments made in recent years – while further strengthening our position in a fast-evolving market. See how Stibo Systems is leading the way.

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Stibo Systems named an MDM Leader by G2 for summer 2026

We're thrilled to be recognized by G2 as a master data management (MDM) Leader in G2's 2026 Summer Grid® Report. Check out what our customers are saying in our latest G2 reviews.

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Stibo Systems named a Leader in the Gartner Magic Quadrant for Master Data Management Solutions, 2026

Gartner recognized Stibo Systems as a Leader for our "Completeness of Vision" and "Ability to Execute." This recognition validates years of MDM innovation, strategy and enterprise-scale execution.

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Life sciences MDM FAQ

What is master data management in life sciences?

Master data management (MDM) in life sciences governs product, material, supplier, site, and regulatory attribute data so regulated organizations work from consistent, auditable information across ERP, PLM, MES, LIMS, QMS, and RIM systems.

How does MDM support pharmaceutical manufacturing and CMC?

MDM supports CMC and pharmaceutical manufacturing by governing formulations, specifications, and material hierarchies as a single connected foundation, keeping information consistent from early development through commercial-scale production.

How can MDM improve technology transfer between a sponsor and a CDMO?

MDM improves sponsor-to-CDMO technology transfer by governing sponsor-product-material-specification data and qualified supplier and site records, reducing reconciliation work and strengthening traceability during handoff.

How do life sciences companies govern product, material, supplier, and site data across SAP, MES, LIMS, and QMS?

Life sciences companies govern this data with a multidomain operational data authority that connects and standardizes information across systems, making it reusable rather than reconciled separately in each one.

What data foundation is needed for AI in regulated manufacturing?

AI in regulated manufacturing needs governed, permissioned, and auditable operational data, with human oversight built into how that data is used — not just data labeled “AI-ready.”

How can MDM support GxP-controlled processes without replacing execution systems?

MDM supports GxP-controlled processes by governing the master data and lineage those processes depend on, while validation, execution, and workflow remain with systems like MES, LIMS, and QMS.

How does MDM support UDI, MDR, IVDR, and EUDAMED readiness?

MDM supports UDI, MDR, IVDR, and EUDAMED readiness by governing device-family, UDI-DI, Basic UDI-DI, packaging, and market relationship data that submissions depend on.

What is the difference between MDM, PIM, RIM, PLM, MES, LIMS, and QMS?

MDM governs master data and definition authority across domains, while PIM manages product information, RIM manages regulatory submissions, PLM manages product lifecycle, and MES, LIMS, and QMS manage manufacturing, lab, and quality execution.

How can a global device manufacturer govern Basic UDI-DI, UDI-DI, packaging, and market relationships?

A global device manufacturer governs these relationships with device-family models that connect UDI-DI and Basic UDI-DI data to packaging hierarchies and market-specific metadata for consistent global governance.

How can life sciences companies prepare master data for an SAP S/4HANA transformation?

Life sciences companies prepare for an SAP S/4HANA transformation by establishing a governed data foundation before migration, so duplicate or low-quality data doesn't carry into the new environment.

Ready to build trusted intelligence for life sciences?