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AI is profoundly transforming organizations. Our AI division provides data scientists, ML engineers and generative AI experts to strengthen your teams on your data innovation projects: building predictive models, deploying LLMs, intelligent automation, NLP.
Our consultants master ML frameworks (TensorFlow, PyTorch), LLM architectures (GPT, Claude, Mistral, Llama) and MLOps best practices to industrialize your AI use cases. Discover our method, the sectors we serve and our Cybersecurity division.
From strategy to implementation — concrete and measurable AI solutions
Data scientists
predictive models, scoring, clustering, classification, regression
ML engineers
TensorFlow, PyTorch, scikit-learn, XGBoost, LightGBM
MLOps engineers
deployment, model monitoring, ML CI/CD, MLflow, Kubeflow
Computer Vision experts
object detection, image classification, OCR, segmentation
Time series experts
forecasting, anomaly detection, finance, IoT
Generative AI experts
GPT-4, Claude, Mistral, Llama, Gemini
Prompt engineers
prompt optimization, few-shot learning, chain-of-thought
RAG architects
Retrieval-Augmented Generation, vector databases, embeddings
LLM fine-tuning experts
model adaptation, PEFT, LoRA, QLoRA
AI product managers
AI product framing, roadmap, ROI
NLP experts
entity extraction, text classification, automatic summarization
Sentiment analysis consultants
social media, customer reviews, e-reputation
Chatbot & conversational assistant experts
Rasa, Dialogflow, LangChain
OCR & document intelligence specialists
document data extraction, invoices
Machine translation & multilingualism experts
ML Frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost, LightGBM, Keras
LLMs: OpenAI (GPT-4), Anthropic (Claude), Mistral AI, Meta (Llama), Google (Gemini)
LLM Frameworks: LangChain, LlamaIndex, Haystack, AutoGen
Vector databases: Pinecone, Weaviate, Qdrant, Milvus, Chroma
MLOps: MLflow, Kubeflow, Weights & Biases, SageMaker, Vertex AI
Our consultants work on concrete use cases
Business copilots: AI assistants for HR, finance, legal, sales
Document automation: Report generation, summaries, contracts
Customer service: Intelligent chatbots, dynamic FAQs, augmented customer support
Prediction & scoring: Churn, demand, pricing, credit risk
Predictive maintenance: Anticipating industrial equipment failures
IoT + ML
Anomaly detection: Banking fraud, cybersecurity, quality control
Hybrid profiles: Data scientists with business expertise (finance, healthcare, retail)
Responsible AI: Bias awareness, explainability (XAI), GDPR & AI Act compliance
POC to Production: Support from POC to industrialization (MLOps)
Technology watch: Consultants trained on the latest advances (GPT-4o, Claude Opus, etc.)
Real-world engagements across every industry
Implementation of an AI assistant for analyzing and summarizing financial documents. Significant time savings on analysis tasks and improved decision quality.
Deployment of an AI system to automatically classify and process incoming emails. Reduced manual workload and improved operational responsiveness.
Development of models to anticipate failures on critical equipment. Optimized interventions and reduced production downtime.
Implementation of recommendation algorithms to improve customer experience. Increased conversion rate and personalized journeys.
Implementation of anomaly detection models on transactions. Improved real-time detection of suspicious behavior.
Large-scale data exploitation to produce indicators and insights. Improved steering and strategic decision-making.
Identification and automation of high-volume repetitive tasks. Productivity gains and reduced operational errors.
Tell us the brief. We'll come back with a shortlist.