Artificial Intelligence has changed the way we design and deliver products. It has become part of the daily routine of all our professions - engineering, design, product - and in our own operations. Here's concretely what we do with it, with what tools, and what it changes for your projects.
We disseminate our internal expertise through training sessions, complemented by external expert interventions.
Privileged access to one of the world's largest AI laboratories to integrate the best reasoning models.
Each week, a dedicated team meeting is held to share and analyse the latest advancements in AI.
Our Software & Product Engineers orchestrate agents that work in parallel. They manage AI-driven quality control loops: security, scalability, testing. Use cases: accelerate development, extract business knowledge from undocumented legacy code, diagnose and fix bugs, review pull requests, integrate mock-ups and visually verify the result.
Our designers use a stack based on a Design System and a prompt of business rules specific to each client. Thanks to this context, their tools generate several visual intentions per feature and quickly adapt an interface across different media. AI also generates realistic, asymmetrical or extreme data to test the robustness of a layout. From ideation to high-fidelity mock-ups, including the creation of visuals with the latest image generation models, AI is present throughout the entire chain.
Our Product Managers use Deep Research to scan the web and benchmark competitor solutions. They build searchable specifications in natural language with NotebookLM. In a few hours, they create initial interface drafts and testable prototypes with Figma Make and Lovable. They also manage tracking tools (roadmap, Kanban, meeting minutes) and analyse product usage metrics to advise their clients.
InvoicingBalin is an autonomous agent that communicates with collaborators, understands the client context (contracts, invoices, specific rules) and performs actions: generates invoices and credit notes, manages planning and sends emails. It processes several million euros in invoicing each month.
MCPThe company's internal data is accessible via MCP (Model Context Protocol) for all our collaborators, with rights management, which allows optimal knowledge exploitation.
RecruitmentThorin sources relevant candidates from a natural language query and organises interviews autonomously.
We work with all types of clients, across all sectors. Whether you're an entrepreneur or managing a large organisation, a tailored team will meet your needs.
Over 800 companies have trusted us to create their web, mobile, and AI products
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