Build bespoke business applications that turn your data into reliable, structured assets, ready for AI to use directly.
Business App AI-ready solves the first obstacle to artificial intelligence projects: the quality and structure of application data. Instead of launching complex, upfront data-overhaul projects, our approach starts directly from a concrete business need, delivering an application that is useful immediately while cleaning up the data foundation in the background.
We industrialise the recovery and quality improvement of your existing data: cleansing, consolidation, and the creation of reference data. At the same time, we accelerate the development of business applications with AI, ensuring a very short timeframe and controlled costs.
The result: you meet your teams’ operational needs while structuring a reliable data estate, ready to be used by your future AI agents and algorithms. You increase business value immediately, without technical debt.
Start from a business need to deliver an application that is useful immediately, while cleaning up and structuring the data foundation in the background for AI.
Design guided by the real needs of business users, delivering high-impact operational applications within very short timeframes and controlled costs.
Industrialising the cleansing, consolidation and management of reference data (MDM) to eliminate duplicates and turn raw data into a reliable asset.
Using AI technologies and modern components to design and rapidly deploy application interfaces tailored to your company’s processes.
Modelling and structuring application data so it can be immediately consumed and used by assistants, chatbots or generative AI models.
From CV management to MDM diagnostics, discover our bespoke business applications.
Development of an AI-enhanced business application enabling CVs to be created, updated and queried in natural language, to improve skills management, access to information and teams’ operational efficiency.
Implementation of a solution dedicated to the continuous improvement of data quality, combining control, enrichment, consolidation and deduplication, to ensure consistent and usable information.
Development of a FinOps Cloud & AI steering module offering a consolidated view of costs, consumption tracking, drift detection, budget optimisation and carbon footprint analysis.
Data sovereignty and cost control
Our “AI-ready” approach reverses the usual logic: we start from a concrete business application need to deliver immediate usage value. In the background, we take the opportunity to clean up, consolidate and structure the data. Business teams get their tool quickly, and IT inherits a clean data foundation that is directly usable by AI.
From the design phase, the structure of application databases is modelled to meet the requirements of LLMs and AI agents: enrichment, metadata, structured formats. In addition, quality and consolidation processes are automated to ensure the data stays clean, up to date and directly queryable over time.
We develop a wide range of applications: Master Data Management platforms with data quality auditing and deduplication; skills management tools enabling natural-language updates and search; and technical equipment pre-selection systems connected to ERP and CRM systems to speed up decision-making.
Thanks to our agile methodology and the use of AI-driven development accelerators, we can deliver a first operational minimum viable product in just a few weeks. This allows your business teams to quickly validate real-world usage while ensuring a gradual, controlled structuring of your data in the background.
One hour with an expert. You’ll leave with a read on your maturity and application principles.
Contact us