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Fusée 3D bleue et rose — agents IA / Blue and pink 3D rocket — AI agents

AI & Deep Learning Solutions

NEOPOLIS · PRODUCTS & SERVICES

AI, Machine Learning & Deep Learning

Turn an AI idea into an evaluated business use case.

Language processing, predictive models and agents: we connect AI capabilities to clear goals, your data and defined human accountability.

Let’s discuss your project
AI, Machine Learning & Deep Learning
  1. 01Scope
  2. 02Evaluate
  3. 03Integrate
  4. 04Improve

From business needs to everyday use.

Your project, at a glance

Who is it for?

Businesses with a use case, accessible data and experts able to validate results.

What problem does it solve?

Language processing, predictive models and agents: we connect AI capabilities to clear goals, your data and defined human accountability.

What do you receive?

Use cases and evaluation criteria ; A prototype integrated into a workflow ; Monitoring, documentation and support

The scope, delivery schedule and acceptance criteria are agreed before the engagement.

WHAT WE DO

Expertise that connects to your work

Language & voice

Apply speech recognition and language processing to business journeys. Our experience includes contributions to Mozilla open-source projects.

Business machine learning

Build models for analysis, anomaly detection and decision support. Our insurance experience includes fraud detection and risk profiling.

Agents & integration

Connect models to company documents and tools. Define what the system may recommend, execute or submit for human approval.

HOW WE WORK

Evaluate results in their business context

A useful pilot defines its data, quality criteria, edge cases and accountable people. We track outcomes, errors and rework before expanding scope. Predict-Hub is part of our experience in predictive models and decision support.

OPEN SOURCE · MOZILLA

Experience built through contribution

Explore the Neopolis–Mozilla collaboration and the path from voice technology to business AI.

Explore further

FROM NEED TO DELIVERY

Useful AI starts with a precise question.

Detecting an anomaly, classifying documents, assessing a risk and assisting an employee are different problems. We examine available data, the required quality level and the consequences of errors. This guides the choice between predictive models, language processing, generative AI and conventional automation.

Risk analysis and anomaly detection

Document search and processing

Assistants and agents connected to business tools

What you take away

Deliverables may include a feasibility assessment, evaluation cases, an integrated prototype and a monitoring approach. A model should be judged within your workflow, including when information is missing or unusual cases arise.

Questions, answered.

Do we need large amounts of data?

It depends on the use case. Quality, usage rights and representativeness matter as much as volume.

Does AI replace human validation?

Oversight depends on the task and its consequences. Sensitive decisions and actions need explicit control rules.