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Opus Numeris
Service provider

Opus Numeris

Data & IAData GovernanceMDM / PIMProduct Data ManagementAI-ready DataModern Data StackData EngineeringGenAI & AI AgentsData BackbonePLM consultingSupply Chain DataManufacturing Data
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Opus Numeris is a French consulting and delivery agency specialized in Data & AI, combining business expertise, IT architecture, data engineering, AI and product data management.

The company operates from strategy to execution: data roadmap, governance, architecture, MDM/PIM, modeling, modern data stack, data science, GenAI, automation, AI applications and production deployment. Its approach emphasizes a key point for operations leaders: no AI without AI-ready data, with upstream work on quality, governance, data models, processes and interoperability.

Opus Numeris claims 25 years of projects, 30+ employees and partners, 20+ enterprise and SME clients, as well as a presence in Paris, Grenoble and Lyon. Its cited references include notably Sanofi, Schneider Electric, Legrand, Lyreco and Truffaut.

The company is led notably by Renaud Cochet, Partner, whose background is presented around management consulting, data advisory and technology. The team also combines profiles in data governance, modeling & architecture, AI / data / digital transformation, product ownership, PLM consulting, manufacturing & supply, data science, software architecture and delivery.

Cited references: Sanofi, Schneider Electric, Legrand, Lyreco, Truffaut, Saint-Gobain, BNP Paribas, Groupe BPCE, Galeries Lafayette, BRGM, Spie, Ipsen, Equans, UGAP, Société Générale.

Technologies and partners cited: SAP, Salesforce, Dassault Systèmes, Veeva, Aras, Infor Nexus, GS1, ISO IDMP, eCl@ss, Snowflake, Databricks, Informatica, Microsoft Azure, Power BI, Collibra, Data Galaxy, Qlik, Kafka, Syndigo, OpenAI, Mistral AI, Gemini, n8n, Make, Perplexity, Dataiku, Anthropic.

Dataleo perspective

Opus Numeris is particularly relevant for industrial, retail, pharma or energy organizations looking to move from AI experimentation to operational industrialization. Its positioning covers data foundations — governance, master data, MDM/PIM, product modeling, quality — then AI use cases, automation and business applications.

For Supply Chain, Manufacturing, Procurement, R&D or Finance leadership, the value is concrete: secure critical data, harmonize product models, accelerate supplier flows, prepare data for AI and reduce friction between legacy systems, data offices and business functions.

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Opus Numeris announces its presence at the Adopt AI trade showLow
AI adoption / Data foundations·2025-11-01

Opus Numeris announces its presence at the Adopt AI trade show

Opus Numeris announces its presence at the Adopt AI trade show, an event focused on the adoption of artificial intelligence by companies.

For operations, supply chain, manufacturing or data management, this type of event is a useful signal: AI topics are gradually moving from experimentation to industrialization, with an increased need for reliable data, governance, business use cases and integration into existing systems.

The Dataleo angle

Opus Numeris' presence at Adopt AI aligns with its positioning around Data & AI foundations: governance, MDM/PIM, product data, modern data stack, automation and AI applications.

For industrial and retail organizations, the challenge is not just testing AI models, but making data and processes structured enough to enable reliable operational use cases.

LinkedIn — Opus Numeris
#DataGovernance#MDM#PIM#ProductData#AIReadyData#GenAI#AgenticAI#ModernDataStack#DataBackbone#IndustrialAI