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AI · .NET · Azure

AI built into the systems you already run

We add AI to .NET and JavaScript applications: assistants that answer from your own documents, automation of manual work and smarter search, integrated with your data and security rules.

PoC firsta working proof of concept before a full build
2 weeksfrom first call to your sprint
12 of 20engineers are seniors
5.0on Clutch from 28 verified reviews
Azure OpenAI · LLM APIs · RAG · Document AI · Automation

Use cases

Where AI pays off first

Assistants on your own knowledge

Chat and search that answer from your documents, wikis and tickets, with sources, instead of making things up.

Document processing

Pulling structured data out of PDFs, emails and forms, and routing it into your systems.

Workflow automation

AI steps inside existing processes: triage, classification, drafting replies and summaries for your teams.

AI in your product

New AI features for your own users, built into your .NET or JavaScript application.

AI in Dynamics 365

Summaries, classification and assistants on top of your CRM data.

Dynamics 365 →

Proof of concept

A small, working version on real data so you can judge the value before committing budget.

How we work

Start small, ship to production

Most AI projects fail between the demo and production. We plan for the boring parts from day one: data access, security, testing and cost.

  • Workshop: pick one use case with measurable value.
  • Proof of concept on your real data.
  • Integration with your systems, users and access rules.
  • Testing for quality, safety and cost per request.
  • Monitoring and improvement once it is live.

Technology

What our AI work is built on

Azure OpenAILLM APIsAzure AI SearchVector databasesSemantic Kernel.NETC#PythonTypeScriptPower Automate

How we work with you

Pick the model that fits

Best place to start

Proof of concept

One use case, real data, a working result. Fixed fee.

Team Extension

Engineers with AI experience join your team to build AI features in your product. Monthly, Time & Material.

Team Extension →

Dedicated Team

A complete team that takes an AI feature from idea to production.

Dedicated Team →

FAQ

Questions we hear most

Can you add AI to our existing .NET or JavaScript application?

Yes. Most of our AI work is adding AI features to systems that already run the business, not building separate experiments.

Do we need our own data scientists?

No. For most use cases proven language models are the right starting point. Our job is to connect them safely to your data, systems and users.

Is our data safe?

We design for your security rules from the start: access control, logging and, where possible, setups where your data stays in your own cloud environment.

How do we start?

With a short call and a workshop to pick one use case with clear value. Then we build a working proof of concept before you commit to a full build.

How do you charge for AI projects?

Proofs of concept are usually a fixed fee. Building and running AI features in production works like any other engagement: Team Extension or a dedicated team, billed monthly.

Radosław Wosik, co-founder of Appstronauts

Let’s talk

Have an AI idea, but not sure where to start?

Book 30 minutes with me. Tell me which process or product you want to improve, and I’ll tell you honestly whether AI is the right tool for it.

or email radek@appstronauts.co