1. Strategic Positioning
Our company positions itself as a specialized integrator in the development and integration of agentic artificial intelligence solutions, tailored to regulated business environments such as banking, insurance, or financial services.
We operate in the implementation of hybrid AI engines, combining business rules, machine learning models, and advanced open-source or proprietary large language models (LLMs), within a secure, traceable environment interconnected with the client's IT system.
2. Our Core Business
- Integration of AI models (scoring, NLP, classification, anomaly detection)
- Development of decision engines and Python-driven AI agents
- Process orchestration via frameworks such as Langchain or CrewAI
- Interface design (REST APIs, analyst portals) via FastAPI and Streamlit
- Securing flows and compliance with GDPR / ISO 27001 / DORA
3. Architecture of an Agentic AI Solution
Each project is structured around the following components:
- Tabular AI engine (LightGBM, XGBoost) for structured scoring
- LLM integration (open-source or proprietary) to process unstructured documents
- Agent orchestrator (Langchain, Autogen) to drive AI workflows
- Vector database (FAISS, Qdrant) for contextual memory
- API and user interface with built-in auditability
4. Added Value for Our Clients
- Tailor-made solutions, aligned with specific business needs
- Strong mastery of security and compliance constraints
- Python and AI expertise for rapid and scalable development
- Ability to industrialize a solution after a successful POC
- Dedicated and agile team, with clear project governance
5. Target Use Cases
- Leasing or consumer credit scoring
- Automatic analysis of client supporting documents (PDFs, emails…)
- KYC / AML-CFT automation / client onboarding
- Anomaly detection and generation of explanatory reports
- AI assistants for credit or compliance analysts
6. Integration Methodology
Our approach is based on a 5-step agile cycle:
- Functional and technical scoping with business units
- Building the AI foundation (data, models, rules)
- Development of the agentic AI engine
- Integration and interconnection with the client's IT system
- Securing, auditability, and deployment into production
7. Contact
For any collaboration or demonstration request, our dedicated team is available to discuss and adapt this offering to your specific use cases.