Data & AI
“Data-Driven” Vision
Build the vision, secure business impact, and industrialize algorithms at scale.
The integration of AI, built on a foundation of reliable and sovereign data, serves as a triple lever of performance
Optimization & Value Creation
Transform complex processes into intelligent automated flows to reduce operating costs. By freeing talent from repetitive tasks, teams refocus on high-value work—maximizing productivity, time-to-market, and the quality of products and services.
Growth & Innovation
Reinvent your value proposition through augmented products and services, while deploying highly targeted acquisition strategies to win market share and build loyalty through hyper-personalized customer experiences.
Decision & Anticipation
Shift from reactive operations to proactive steering, accelerating strategic decision-making through real-time analysis of weak signals and cross-functional KPIs (Finance, HR, Operations).
Align strategy, technology, and organization to create new levers for growth and optimization
We help organizations decide where and how AI truly creates value—and then deploy it at scale, in a measurable and controlled way.
Leveraging our Data & AI expertise and our three proven methodologies—STARTAI, BUILDAI and SCALEAI—we support our clients from the definition of their Data & AI strategy through to the industrialization of high‑performing solutions, tailored to their business and operational priorities.
This approach enables executive and business leaders to focus Data & AI investments on the highest‑impact value drivers, accelerate scale‑up, and secure sustainable performance, while maintaining full control over risks, compliance, and regulatory requirements.
3
methodologies (STARTAI, BUILDAI, and SCALEAI)
1,000
experts
3
global centers of excellence (CoE)
Audit, strategy and governance
- Data & AI maturity assessment and value driver identification: we assess the organization’s Data and AI maturity to objectively evaluate its true value-creation potential. This assessment covers data assets, use cases, organizational setup, governance, processes and the technology ecosystem, while incorporating business priorities and market dynamics to identify high-impact value opportunities.
- Target trajectory definition, strategy and ROI-driven prioritization: we define a target Data & AI trajectory aligned with the company’s strategic priorities. We design a structured and prioritized roadmap, including the selection and qualification of high-ROI use cases.
- Data & AI industrialization and governance: we support the operational execution of the trajectory by orchestrating the industrialization of Data and AI use cases and establishing an appropriate governance framework. This framework covers performance management, data and model quality and security, regulatory compliance (AI Act), ethical considerations, and AI risk management.
Analytics & Business Intelligence
- Data architecture modernization: we support organizations in improving the reliability, unification and large-scale valorization of their data by modernizing data architectures, creating a robust foundation essential for advanced analytics and AI use cases.
- Large-scale data & analytics platforms: we design and deploy modern data platforms capable of processing massive volumes of heterogeneous data (transactional, behavioral, contextual, external signals, images and video) and supporting advanced analytics, real-time Business Intelligence and AI use cases, while enabling collaboration between data, engineering, AI and business teams.
- Data-driven decision-making and performance: we transform data flows into actionable and exploitable insights to steer operational performance in real time, anticipate market trends and improve execution effectiveness. Through data-driven approaches and large-scale personalization, data becomes a measurable and sustainable source of competitive advantage.
Generative AI & Autonomous Agents
- Design and deployment: we design GenAI solutions and custom agents tailored to our clients’ needs, with the objective of augmenting business and IT teams, automating processes, and handling high‑intensity, time‑consuming tasks.
- Measurable impact: we support the transition from use case to industrialization by integrating these solutions into information systems and operational processes, in order to deliver measurable productivity gains, sustainable cost savings, and new growth levers.
Our Services
Our Research Work
Amid growing data volumes and market pressures, competitiveness depends on the ability to turn data into actionable, value-creating insights for AI.
Our Articles
AWS SUMMIT PARIS 2025: GENAI ACCELERATION, DIGITAL SOVEREIGNTY, AND INNOVATION OUTLOOK
On April 9, 2025, the AWS Summit Paris brought together over 10,000 participants from the French tech ecosystem at Paris Expo Porte de Versailles.
Edge Computing & IoT: The Silent Revolution Already Redefining IT in the United States
As connected devices proliferate at a staggering pace, real-time data processing has become a necessity.
RAISED, ASTEK’S SUBSIDIARY COMBINING AI EXPERTISE AND HUMAN VALUES
Launched in September 2024, Raised is a subsidiary of the Astek Group specializing in Data and Artificial Intelligence.
Predictive AI Growth Strategy: +13% Revenue and +40% Average Basket Value
For a leading pharmaceutical distribution and retail player, we orchestrated the deployment of an advanced Machine Learning architecture designed as a true growth engine. The strategic objective was to convert customer behavior analysis (purchases, clicks, views) into an automated sales force capable of delivering real-time “Next Best Action.” By integrating collaborative filtering algorithms and live data ingestion pipelines, we transformed the shopping experience into a hyper-personalized journey.
- This approach generated immediate and significant financial impact:
- +13% revenue directly attributable to the AI engine
- +40% increase in average order value
- +30% uplift in conversion rates
GenAI & Augmented E-Commerce: Generative AI for Growth and Profitability
For a major digital player, the Group deployed the Accelerator solution—a Cognitive Commerce architecture built on Large Language Models (LLMs / OpenAI). The platform turns user experience into immediate profitability by increasing conversion and retention through semantic search that removes purchase uncertainty and reduces abandonment. With precise business alignment, AI reorders results to prioritize profitability, sustainability, and strategic priorities. This approach also optimizes data assets via automated catalog enrichment and improved SEO, while delivering an enhanced customer experience through a factual, contextual conversational interface that naturally drives cross-sell and up-sell.
Therapeutic AI Anti-Churn Strategy: Reversing Commercial Decline Through Predictive AI
For a global biopharmaceutical leader, we deployed a state-of-the-art artificial intelligence architecture to reduce patient attrition for a key medication. The strategic challenge was to identify the root causes of patient drop-off and anticipate prescription decline in order to restore commercial momentum. By orchestrating advanced Machine Learning solutions — including dynamic patient clustering and ensemble models to maximize predictive accuracy — we enabled the implementation of a highly targeted omnichannel marketing strategy. This framework transforms patient and practitioner data into immediate action levers:
- Predictive analytics: anticipate prescription declines and identify underlying root causes
- Tactical activation: automated deployment of targeted campaigns, support programs, and promotional incentives
- Performance steering: optimize marketing investments and sustainably protect revenue within a critical therapeutic area
Smart Manufacturing & Industrial Autonomy: Accelerating AI R&D and Securing Intelligent Construction Vehicles
For a global leader in off-road material handling, the Group delivered end-to-end support to develop critical autonomy and active safety building blocks. The engagement combined strategic Computer Vision advisory with advanced engineering, including the design and training of AI models dedicated to obstacle detection in complex environments. The project included a rigorous field validation phase (robot training and real-world testing), reducing non-quality costs and accelerating time-to-market for intelligent lifting solutions. By orchestrating the full lifecycle — from algorithm development to machine integration — the Group enabled the client to secure its technological leadership while optimizing operational safety across connected construction sites.
Operational Transformation & Business Performance: AI and Engineering as Growth Enablers
Astek supports insurers in deploying Square Predict, a SaaS Big Data solution that anticipates policyholder behaviors and enhances service personalization, notably during major climate or health events.
Astek teams design and industrialize a Big Data and AI platform integrating insurer data with Open Data, the semantic web, and social networks, alongside analytics pipelines, privacy-by-design modules, and visualization tools.
This approach improves prediction of climate event severity, optimizes claims financial management, and strengthens risk knowledge (fire, water damage), enabling more effective policyholder support.
Data-to-Value Strategy: Augmented BI Architecture and Data-Driven Corporate Performance Steering
For a leading industrial player, the Group transformed the information landscape into a strategic growth lever by designing a unified data architecture (Data Warehouse) and a cloud Data Visualization ecosystem, delivering a single source of truth. This advanced BI solution enables real-time visibility into operational and customer performance, accelerating decision-making for leadership teams through universal, secure access.
Life Sciences & Data Strategy: Real-World Data (RWD) Infrastructure to Monitor and Improve Innovative Therapies
For a national health observatory, the Group is transforming clinical research through a real-world data architecture dedicated to complex biotherapies. The mission includes designing an intelligent data capture platform (e-CRF) and a highly secure hosting infrastructure to monitor patient cohorts in real time. This approach turns retrospective and dynamic data streams into pharmacovigilance decision levers, enabling precise assessment of treatment tolerance beyond conventional clinical trials.
Smart Supply Chain & Omnichannel: Digital Pivot for a Scientific Supply Chain Leader
This digital transformation project involved building a robust mobile e-commerce app that turns a catalog of millions of SKUs into an agile sales tool available offline. Beyond the software foundation, the solution delivers strategic smart features such as computer-vision product scanning and voice search to streamline inventory in sterile environments, plus an intelligent indexing engine handling complex technical data in real time. The digitalization optimizes the entire supply chain by automating the quote-to-order cycle, transforming a heavy logistics process into a reactive, data-driven growth lever.
Health Data & Psychosocial Analytics: Impact Analysis and Psychosocial Risk Modeling in Chronic Care
The Group led the data infrastructure to assess the medico-psychological impacts of the health crisis on patients with inflammatory and autoimmune diseases. The mission structured and analyzed data from a cohort of 300 participants to identify risk factors for PTSD. By combining clinical data (immunosuppressive treatments) with mental health indicators, the project models the impact of systemic crises on vulnerable populations, providing high-precision prevention and personalized support tools.
Smart Infrastructure & Data Governance: Industrializing Data for an Environmental Transition Leader
For a major environmental public services operator (sanitation and remediation), the Group is transforming the information landscape into an operational performance lever as part of a 2030 strategic plan. The mission deploys group-wide data governance (charter, organization, cataloging) and designs a high-capacity industrial data lake architecture. This approach enables performance steering of critical assets through Data Science and predictive maintenance, ensuring optimized infrastructure management and increased resilience of natural ecosystems.
AI Automation for Productivity in a Real Estate Leader
For a publicly listed real estate asset management leader, we scoped and deployed an intelligent automation unit to remove administrative bottlenecks. The strategic objective was to replace manual sorting of 2,000 monthly emails with a semantic analysis engine powered by LLMs. By orchestrating a hybrid solution combining Power Automate and Generative AI, we automated real-time reading and highly accurate classification of shared mailbox flows (invoices, reminders, noise). The system now processes over 500 emails per week in real time, freeing accounting teams for high-value steering activities and turning a repetitive process into a scalable operational efficiency lever.
Data Value Creation and Operating Cost Optimization
Under the Architecture & Innovation Department, the Group manages the full data lifecycle through a specialized service center. This strategic setup ensures scalable inter-application exchanges and controlled storage costs through automated purge and quality policies—turning raw flows into reliable, secure decision assets and enabling AI deployment across the organization.
Design of an AI conversational agent platform reducing agent creation and deployment time by a factor of 10 for a global sports leader
For a global, multi‑brand player in the sporting goods industry, we initiated the design of an AI conversational agent platform integrated across the brands’ websites. The platform enables the rapid deployment of AI chatbots capable of handling customer inquiries related to products, brands, policies, and support, within a multi‑region, multi‑language environment. Built on a multi‑tenant, model‑agnostic architecture, the solution centralizes business content, ensures response consistency across brands, and embeds governance and analytics capabilities. This initiative demonstrated the client’s ability to industrialize the use of conversational agents and laid the foundations for a scalable, consistent, and global digital customer experience.