AI that ships to production

We audit what AI can really do for you, build systems for your exact workflows, and make your engineering team agent-native.

Trusted by

Startups, scale-ups, VC and PE funds, governmental institutions, and Big 4 consulting firms

What we do

Three ways to work with us

AI audit and due diligence, custom AI in production, and hands-on training for your team.

01Audit

AI Audit & Due Diligence

We assess your systems, data, and team to establish what AI can and cannot improve in your operations. Useful before you build, and for investors before they invest.

Use case

Technical due diligence for a private equity firm: code, architecture, scalability, and the real risks, summarized for an investment decision.

Explore the audit offer

02Build

Custom AI solutions

We build AI systems for your exact workflows: workflow automation, multi-agent systems, and assistants that answer from your own data.

Use case

Multi-agent system where one agent retrieves data, another runs the calculations, and a third checks the result against your rules.

See what we build

03Enable

Agentic Engineering

We make your engineering team agent-native: the harness coding agents need to perform, shared skills, and workshops on your own codebase.

Use case

Agent orchestration workshops on a team’s own codebase, with skills and workflows the team keeps and extends.

Explore the program

How we work

A straightforward process, from analysis to production

Discovery

Your workflows and technical infrastructure analyzed to select the use cases worth building, with expected gains and effort for each.

Building phase

A working prototype with your real data, then a move into production.

Delivery & support

Your system shipped to production, with ongoing support and maintenance when needed.

Success stories

Blackfin

We run Blackfin’s technical due diligence on fintech targets, each deal inside a short window. We review the data rooms, the architecture, and the code, test each AI thesis, and run deep-dive sessions with the CTOs. The committee gets a clear technical read in time for every decision.

Pigment

Enterprise teams were running complex, multi-step data workflows by hand. We built a multi-agent system where specialized agents coordinate retrieval, calculation, and validation across each step, turning that work into one reliable, automated workflow at scale.

Airsaas

Turning free-form input into structured project data was slow and manual. We built a multi-agent architecture where planning and execution agents work together to convert natural language into structured, validated outputs, so complex generation workflows run end to end with little manual work.

Weglot

Automated translation had to stay accurate on technical terms without hurting search. We built a RAG system with custom embeddings and several verification layers, so translations hold their domain accuracy while meeting SEO requirements at scale.

Isai

Sales data entry into the CRM was manual and easy to skip. We built a natural-language interface connected to the CRM through Telegram, so the team updates records from where they already work and structured data lands automatically, with no new tool to learn.

MerciApp

Generic grammar checking couldn’t cover the product’s needs. We built custom NLP models and integrated them into the live product, delivering real-time, context-aware writing suggestions that go well beyond basic grammar.

The team

Builders who ship AI in production

We met at a research lab at EPITA, where we built our foundations in AI and software engineering. We then spent years shipping AI in production: Robin as Founder and CTO at Spimed-AI, then Lead AI Engineer at Pigment, and Augustin as a startup founder and AI Software Engineer at Yoobic. We started Moqa Studio in Paris at the end of 2023.

We think the divide is no longer between companies that use AI and those that do not. It is between the ones who build it into how they actually work and the ones who bolt on generic tools. Off-the-shelf assistants give quick wins, then stall. The lasting value comes from systems shaped around your data, your workflows, and your rules. That is what we build.