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
Productivity gains and optimization
Simplify your operations and accelerate execution by transforming your processes into intelligent, automated workflows. By amplifying your teams’ capabilities through AI, you reduce operational costs, accelerate your time-to-market, and free up their full potential for high-value missions.
Growth and differentiation
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.
Anticipation and decision-making
Shift from a reactive approach to proactive decision-making by aggregating and cross-analyzing your internal and external data to detect weak signals, monitor cross-functional KPIs in real time (finance, HR, operations), and anticipate market changes — ensuring your strategic decisions remain aligned with your operational capabilities.
Align strategy, technology, and organization to create new levers for growth and optimization
We help organizations decide where and how AI truly creates value, then deploy it at scale.
By 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 challenges.
This approach enables executive and business teams to focus investments on the highest-impact opportunities while maintaining 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 lever identification: we assess organizational maturity to objectively determine the real value creation potential. This analysis covers data, use cases, organization, governance, processes, and the technology ecosystem, while integrating business priorities and market dynamics.
- Strategy, roadmap, and ROI prioritization: we define your Data & AI trajectory aligned with business priorities and build a prioritized roadmap including high-ROI use cases adapted to your level of maturity.
- Transformation and governance: we support operational implementation, train your teams, and establish an appropriate governance model covering performance monitoring, data and model quality and security, as well as regulatory compliance (AI Act) and ethical considerations.
Modernization & Data Value Creation
- Data architecture modernization: we strengthen, unify, and scale the reliability and value of your data by modernizing your architectures, building the robust foundation required for advanced use cases.
- Data & analytics platforms: we design and/or deploy modern platforms (Databricks, Snowflake, etc.) capable of ingesting and processing massive volumes of heterogeneous data (transactional, behavioral, contextual, external signals, images, videos) to power real-time business intelligence, advanced analytics, and your AI use cases.
- Data-driven decision-making & performance: we transform your data streams into actionable insights to monitor performance in real time, anticipate market changes, and refine your execution.
Conception & Industrialization of AI Solutions
- AI solution design and deployment: we design and deploy tailor-made solutions (GenAI, autonomous agents, Machine Learning, Computer Vision, and embedded models for robotic systems and autonomous vehicles, etc.), adapted to the needs of your business units and IT teams.
- Industrialization & integration: we support the transition from use case to full-scale industrialization by integrating these solutions into your information systems, operational processes, and products or services, to generate cost savings and unlock new growth drivers.
- Applied research & technological frontier: we invest in the most demanding AI domains (advanced perception, multi-agent systems, foundation models, etc.) to stay at the cutting edge and ensure our clients continuous access to the most advanced expertise and innovations on the market.
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.