The AI agency that doesn't stop at the prototype
Most AI projects never reach production: no follow-through after the prototype, solutions that don’t integrate, teams that don’t adopt. As an AI agency, Castelis covers the full cycle — from scoping to secure deployment and ongoing operational support.
/ Our Clients
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An AI agency that goes all the way to production
Many vendors deliver a convincing proof of concept, then leave the client alone to handle industrialisation. Castelis covers the entire project lifecycle — from business scoping to deployment, through to operational monitoring in production.
A POC is not a finished solution
Value comes from adoption, not sophistication
Without monitoring, an AI solution degrades
Our AI expertise
From data structuring to process automation, we select the right approach for your business context — without defaulting to a technology first.
Data science and machine learning
Predictive models, scoring and anomaly detection to automate and strengthen operational decisions from your existing data.
Generative AI and LLMs
Integration of large language models for document analysis, summarisation, structured content generation and business process assistance.
AI agents
Autonomous systems that reason, orchestrate complex tasks and interact with your tools, while maintaining human oversight on critical decisions.
Process automation
Design and deployment of automated workflows for repetitive, low-value tasks: data entry, reconciliation, notifications, routing between systems.
Intelligent search and RAG
Semantic search engines and RAG architectures to unlock your document bases and answer business queries in natural language.
Hybrid architectures and security
Combination of classical models, generative AI and agents, deployed in cloud or on-premise environments with sensitive data isolation and built-in regulatory compliance.
/ Our method: from business scoping to operational AI
Every project starts with a precise business problem, not a technology. We ensure solutions that are genuinely usable within your organisation.
Scoping and use case qualification
Identification of priority challenges, feasibility assessment and data readiness review. We define a useful scope before writing a single line of code.
Prototyping and validation
First prototype on your real data to test hypotheses, measure performance and validate architectural choices.
Industrialisation and system integration
Robust development and integration into your existing systems: reliable pipelines, secure APIs, regression testing.
Deployment, security and monitoring
Go-live, performance monitoring and continuous adjustments. Our teams remain available after launch to ensure stability and evolve the solution over time.
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AI that is reliable, secure and compliant
Without governance, AI decisions become opaque and regulatory risks accumulate. Castelis embeds traceability, data security and compliance requirements from the design phase.
Explainable and traceable decisions
Continuous performance monitoring
Data security and protection
EU AI Act compliance
/ They transformed their operations with Castelis
SNCF, Solocal, Qualiconsult: AI projects in production, measured on concrete operational indicators.
SNCF | Optimising fine recovery rates
Machine learning model to score and prioritise recovery cases, deployed in production and integrated into SNCF operational tools.
Groupe Qualiconsult | Accelerating payment allocation
AI and OCR tool to automate accounting reconciliation, reduce allocation delays and free up finance teams from low-value tasks.
Solocal | Feeding a data hub from external systems
Multi-system data centralisation and synchronisation middleware to accelerate client onboarding and ensure reliable data flows across heterogeneous systems.
/ AI ecosystem
We select technologies and models based on your use cases, constraints and stability requirements. Our approach favours tool complementarity and adaptation to your existing environment, without dependency on a single solution.
AI architectures built for stability, integration and business value.
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Frequently asked questions about our AI agency
An AI agency designs, develops and operates artificial intelligence solutions for organisations. Unlike a consulting firm that recommends, it codes, industrialises and maintains. Castelis combines this expertise with custom development, cloud infrastructure and cybersecurity skills — enabling complex projects to be addressed without multiplying vendors.
Three criteria matter: the ability to go all the way to production (many vendors stop at the POC), a genuine understanding of your business, and verifiable references on comparable use cases. Always ask for client results measured in production, not just testimonials.
An IT services company primarily provides human resources on a time-and-materials basis for general skills. An AI agency brings product expertise and industrialises specialised solutions, with a commitment to outcomes rather than means. Castelis stands out through its ability to cover the full scope: design, system integration, security and post-deployment operational support.
Yes, provided you start from the business problem rather than the technology. We have deployed AI solutions across diverse sectors: transport (SNCF), business services (Qualiconsult), retail (Solocal). What determines feasibility is data availability, clarity of the use case and organisational maturity — three dimensions we assess during the initial scoping phase.
Not necessarily. Some approaches — AI agents, RAG, process automation — deliver value with limited historical data. Others, such as predictive models, require a minimum volume to be reliable. In every case, we assess your data maturity and quality during scoping and adapt our approach accordingly. A lack of data is not a default blocker: it is a constraint to qualify before choosing a direction.
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