Data systems. AI delivery. Real operations.

AI Studio

3+

Delivered projects

10+

Years of experience

Design AI. Deploy impact.

About us

Sectors

Field-tested expertise, adapted to the challenges of your sector.

Banking & Insurance Marketing Retail Energy Logistics Automotive Mobility Sports betting
Portrait of Hermann Djophant

Hermann Djophant

Data Science & Strategy

ISUP x UPMC

in
Portrait of Elhadji Gagny

Elhadji Gagny

ML Engineer

ISUP x UPMC

in
[01 Case Studies]

Concrete work rooted in real business environments.

Automotive Residual values

Predicting the future value of premium and electric vehicles automatically.

Replaced a long, manual process with an automated system that continuously produces future value estimates for premium and battery-electric vehicles.

Impact

Pricing grids generated automatically, where everything used to be manual.

  • No more spreadsheets updated by hand: data is collected, structured and analyzed automatically.
  • Models are tested and compared continuously to maintain the highest possible reliability.
  • Pricing, leasing and strategy teams get clear, always up-to-date decision support.
Energy Forecasting & uncertainty

Anticipating oil production with far greater accuracy.

Designed a forecasting system able to produce far more reliable production estimates and account for uncertainty instead of ignoring it.

Result

2.5× more wells forecast correctly, with the success rate rising from 26% to 65%.

  • Forecasts show not only what is likely to happen, but also the range within which it may happen.
  • Major reduction in unpleasant surprises on future production.
  • A tool directly usable by business teams to guide investment decisions.
Scroll through the cases
[02 Services]

What matters is what it changes for you.

Robust data foundations that turn complex flows into reliable pipelines, ready to feed analytics, AI and business usage.

Data Engineering

AI agent architectures orchestrated around LLMs, connected to your systems and data, to automate complex tasks and create operational impact.

AI Engineering

From data exploration to production-ready models, we turn POCs into data science systems that generate measurable value.

Data Science & ML

Training programs that demystify ML and AI by connecting concepts, tools and concrete usage for both business and technical teams.

Training

[03 Workflow]

From ideas to outcomes, through systems that actually ship.

01

Discovery

A deep understanding of your business, data and constraints as the basis for a high-impact strategy.

02

Design

The design of clear concepts, systems and technical directions aligned with your real operating environment.

03

Development

Turning ideas into production-minded systems, delivered with rigor, clarity and execution discipline.

04

Launch

Deploying the project, monitoring performance and adjusting the system to ensure long-term value.

[04 Method]

A clear delivery method to move quickly from scoping to launch.

01

Fast audit

Understand your context, data, constraints and business priorities.

02

Scoping

Define the use case, deliverables, risks, stack and delivery path.

03

Build

Design the pipeline, model or AI system with production as the default target.

04

Deployment

Ship cleanly, connect to your tools and secure runtime operations.

05

Transfer

Document, train and make your team autonomous to avoid unnecessary dependency.

No unnecessary layers: clear scope, concrete deliverables and an execution standard aligned with production.

[05 Pricing]

Flexible offers. Real impact. Built alongside your team.

*Displayed prices are indicative and based on typical project scopes. For a precise quote, get in touch.