AI integrated into real usage

Concrete AI solutions deployed without unnecessary complexity

We integrate AI where it creates real impact and deploy AI Agents that automate critical workflows.

AI stack built for outcomes

What you get in the first weeks

  • High-ROI use-case framing for each AI Agent
  • Model and architecture choices based on constraints
  • Product integration (API, workflow, security, cost)
  • Continuous quality monitoring and optimization

They trust us

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Our commitment

We build AI systems made for real production usage

Our approach relies on disciplined engineering: data analysis, model selection (generative AI, predictive models, computer vision), training and continuous evaluation.

Each solution is optimized for robustness, scalability and measurable performance, with full transparency on technical choices and limits.

Our responsibility

A robust AI framework to accelerate without losing control

We take full responsibility for the AI systems we design and deploy. Every technical decision is guided by reliability, security, performance and response time.

At Inprogress, we build AI that remains useful, maintainable and aligned with your business objectives.

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Why Inprogress?

Prioritization

We help you decide quickly what should be built now and what should wait.

Quality

We enforce technical quality to prevent slowdowns and avoid product debt.

Speed

A product should move continuously, with a delivery rhythm the whole team can trust.

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Frequently asked questions

We work on SaaS products, internal business platforms, customer portals and transactional websites.

We can either take over an existing codebase or start from a clean foundation.

We begin with a fast product, code and roadmap assessment.

Then we structure a clear backlog and define a progressive delivery plan.

Yes. We operate as an extension of your team with fully transparent execution.

  • Shared backlog
  • Clear decision log
  • Weekly sync rituals

We integrate generative AI, contextual assistants, classification, recommendation and workflow automation.

The right setup depends on your use case, your data and your expected reliability level.

We prioritize high-ROI use cases, add technical guardrails and monitor usage costs continuously.

Quality is managed through tests, business metrics and progressive production iterations.

Let’s talk about your project

A web or mobile application to launch, or a product to accelerate?
Book 30 minutes to align on the right next step, without wasting cycles.
See our work