Data & AI Platform to Turn Data into Business Value

Unlock real-time insights, automate decision-making, and accelerate innovation with Data@Scale, a unified, secure, and sovereign enterprise Data & AI platform designed to turn data into actionable business value.

Data & AI Platform Use Cases by Industry Leaders

Data@Scale supports a large range of use cases across multiple sectors, bringing measurable value to the market:

• Insurance Company: Built a secure data platform integrating actuarial, claims, and customer data.
• Bus Manufacturer: Monitor 10,000 buses in real-time, run predictive maintenance models, and automate operational reporting.
• Pharmaceutical Leader: Optimized production planning with aggregated data and combinatorial algorithms, delivering significant performance gains.
• Ecology Consulting Firm: Delivered a GenAI application to research, summarize, and generate reports from web, document, and database sources.
• Defense Company: Created an embedded data platform for naval vessels to store, process, and analyze high-volume acoustic data.
• Telecommunications Provider: Built a monitoring system enabling end-to-end traceability across network equipment.

Core Capabilities of the Data & AI Platform

Data@Scale delivers a unified, secure, and scalable enterprise data platform for end-to-end data integration, analytics, and AI lifecycle management.

Unified Data & AI Platform

A single, integrated platform that centralizes data ingestion, data management, storage, analytics, and AI capabilities.

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End-to-End Automation

Automates the full workflow from data ingestion and transformation to model training, deployment, monitoring, and continuous improvement.

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Advanced Analytics & AI

Supports real-time analytics, GenAI, predictive modeling, ML/DL, computer vision, optimization algorithms, and domain-specific AI use cases.

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Data Privacy & Security

Includes encryption, access controls, secure data zones, audit logs, and compliance with industry standards.

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Interoperability & Integration

Comes with APIs, native connectors, and compatibility with major data formats and protocols.

Cloud / On-Premise Deployment Options

Flexible cloud or on-premise deployment options with a scalable pricing model designed to maximize ROI and reduce operational costs.

"Data@Scale was designed to accelerate our clients’ ability to industrialize AI use cases and unify their data ecosystem, delivering measurable value in months.”

Denis Grandjean

Head of Data Intelligence, Akkodis

Accelerate Data & AI adoption

Modular components designed to accelerate Data & AI adoption at any maturity level.

Data@Scale Hub

  • A private cloud DataLab platform to rapidly test, validate, and prototype use cases.
  • Ideal for POCs/POVs
  • Fixed monthly cost
  • Ready-to-use development environment

Data@Scale On-Prem

  • A secure, customizable Data & AI platform installed directly in your datacenter or hosting environment.
  • Full control of data and infrastructure
  • Built for industrializing and scaling AI
  • Annual user licensing model

Data@Scale Cloud

  • A dedicated private cloud environment hosted in Europe by Akkodis.
  • Fast deployment
  • High availability & security
  • Fixed monthly usage cost

Data@Scale Training

Certified training sessions covering the Data@Scale platform for developers, data teams, and IT operations.

  • Upskill your internal teams
  • Accelerate adoption & autonomy

Data@Scale Expertise

A full-service offering delivering end-to-end support, from use-case scoping to development and operations.

  • Technical expertise
  • Build & Run through the Akkodis Data & AI Expertise Center
  • Includes maintenance, monitoring, and continuous evolution

FAQs about Data Scale Platform

Data Scale is Akkodis' data and AI platform designed to help organizations modernize data foundations, unify information across systems, and accelerate the adoption of analytics, artificial intelligence, and intelligent automation. The platform enables organizations to transform fragmented data into trusted, actionable insights that support better business decisions and scalable AI initiatives.
Organizations create business value from data when they can transform information into actionable insights, faster decisions, and measurable outcomes. Data Scale helps organizations connect data sources, improve accessibility, automate reporting, and apply advanced analytics and AI to support innovation, efficiency, and business performance.
Successful AI adoption starts with trusted, accessible, and well-governed data. Data Scale helps organizations build AI-ready foundations by connecting data sources, improving data quality, strengthening governance, and making information available for analytics and AI initiatives. This helps organizations move from isolated AI pilots to scalable enterprise-wide deployment.
Artificial intelligence depends on the quality, availability, and governance of data. Without a modern data foundation, organizations may face challenges such as inconsistent information, data silos, limited visibility, and unreliable AI outputs. Data Scale helps establish the trusted data environment required to support analytics, automation, machine learning, and responsible AI adoption at scale.
Data Scale provides the data infrastructure and governance needed to support artificial intelligence, machine learning, predictive analytics, business intelligence, and intelligent automation initiatives. Organizations can use the platform to identify trends, improve forecasting, generate insights, and enable data-driven decision-making across business and operational processes.
Strong governance helps ensure that data is accurate, secure, consistent, and accessible across the organization. Data Scale enables organizations to establish governance frameworks that improve data quality, compliance, transparency, and trust. This creates a reliable foundation for business intelligence, analytics, and AI-driven decision-making.
Many organizations struggle with data distributed across disconnected systems, departments, and applications. Data Scale helps unify and connect data across the enterprise, enabling a more complete and consistent view of operations, customers, assets, and performance. By reducing fragmentation, organizations can improve collaboration, reporting, and decision-making.
Yes. Data Scale supports modern analytics and business intelligence capabilities that help organizations access real-time or near real-time information. This enables teams to monitor performance, automate reporting, identify trends, respond more quickly to changing conditions, and make more informed decisions using current data.
Data Scale helps organizations modernize legacy and fragmented data environments by connecting data sources, improving accessibility, strengthening governance, and creating scalable architectures for analytics and AI. By establishing a modern data foundation, organizations can reduce complexity, improve agility, and accelerate digital transformation initiatives.
Data Scale helps organizations build trusted data foundations that support analytics, artificial intelligence, and business transformation. Key benefits include improved data visibility, reduced data silos, stronger governance, faster access to insights, enhanced AI readiness, real-time decision support, more efficient reporting processes, and greater confidence when scaling AI and analytics initiatives across the enterprise.