Start with the business need
We prioritise a measurable problem before selecting a model or technology.
CS Studio · AI
Useful AI products, integrated and ready for production.
We identify high-impact use cases, build the required models and interfaces, then integrate the solution with your data and business tools.
Generative AIComputer VisionPredictive systemsData Engineering
ai-product.pipelineLIVE
DataBusiness context
AIModel & rules
ProductUseful action
Evaluated · monitored · integrated
Our approach
AI as a product component.
A technical demo is not enough. Value appears when the model fits a clear journey, relies on dependable data and can be operated over time.
Design the complete product
Interface, business rules, data, security and integrations are framed alongside the AI model.
Prepare for operations
Quality, cost, monitoring and continuous improvement are considered before launch.
How we help
From opportunity to a deployed AI product.
Data & AI audit
Map processes, assess data and prioritise use cases according to value, risk and feasibility.
- Business workshops
- Data assessment
- Value / feasibility matrix
- AI roadmap
Generative AI applications
Build LLM-based assistants and tools connected to your knowledge, documents and workflows.
- RAG and augmented search
- Business assistants
- Document generation
- Agents and automations
Vision & predictive systems
Use images, video and historical data to classify, detect, forecast or support operational decisions.
- Computer Vision
- OCR and extraction
- Scoring
- Forecasting and detection
Data Engineering & MLOps
Build the pipelines and environments required to feed, deploy and monitor AI systems.
- Data pipelines
- APIs and integrations
- Model evaluation
- Monitoring and cost control
Method
Test early, then industrialise methodically.
Discovery
Objectives, users, available data, risks and success criteria.
Prototype
A testable first version using a limited scope and representative data.
Product
Complete interface, architecture, integrations, security and user experience.
Operations
Deployment, quality measurement, monitoring, costs and continuous improvement.
Typical use cases
AI connected to real operations.
Secure business assistant
Query internal knowledge with sourced answers and controlled access rights.
Document processing
Extract, verify and structure information from contracts, invoices or case files.
Catalogue enrichment
Generate and standardise product attributes, descriptions and classifications.
Image analysis
Detect objects, anomalies or useful information in images and video.
Forecasting & scoring
Anticipate demand, workload or risk using historical and contextual data.
Operations automation
Connect analysis, assisted decisions and actions across the tools teams already use.
Who we are
Driven by complex technical challenges.
We aim for a high standard of execution through a pragmatic method and transparent communication with your teams, from discovery to launch.
We are comfortable where technical and commercial stakes meet. We adapt the way we work to the maturity, constraints and pace of each organisation.
- Pragmatic decisions
- Transparent collaboration
- Business and technical perspective
Technical ecosystem
Models and infrastructure selected for the need.
We compare options based on expected quality, confidentiality, latency, cost and integration. The technologies below are used when the context justifies them.
OpenAIAnthropicMistral AIGoogle GeminiPythonPyTorchOpenCVPostgreSQLSupabaseAWSCloudflare
Frequently asked questions
Before starting an AI project
Do we need perfectly structured data already?+
No. The assessment evaluates what data exists, its quality and the work required before or during the project.
Can you integrate AI with our existing tools?+
Yes. The product can connect to a CRM, back office, knowledge base, e-commerce platform or business API.
Do you always begin with a prototype?+
When uncertainty is high, a prototype tests value and quality before investing in industrialisation.
How do you control risk and cost?+
We define evaluations, guardrails, quality thresholds and usage monitoring appropriate to the use case.
A project to build
A website to redesign, a platform to launch or a process to automate?
Tell us about your project. We will respond with an initial assessment, the technical options and an indicative budget range.
Discuss a project