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AI Development Services in Poland

Akveo builds AI assistants, agents and document search that work on your real data and inside the tools your team already uses. Our team works from Domaniewska 17/19 in Warsaw, in CET hours.

Which Process Should AI Handle?

Describe the task, the data involved and who will use the result. Our team replies within 1 business day with a suggested approach and a proof of concept estimate.

[ Why Clients Trust Us ]

From AI Prototype to Production

Akveo has shipped AI features for fintech, automotive, language learning and insurance products, on top of more than ten years of software delivery.

~4 WeeksTypical Proof of Concept
200+Projects Delivered
70+Engineers and Designers
Clutch Top AI Company Poland 2026
Clutch Top Next.js Developer Poland 2026
Upwork Top Rated Plus
  • Felmo
  • PwC
  • ZF Openmatics
  • Skrivanek
  • Accuro
  • Goldie
  • Compass Point Systems
  • Afloat
[ AI Services ]

AI Systems We Design and Build

Each one is connected to your data and tools and measured against quality checks we agree with you.

AI Proof of Concept

A working prototype on a sample of your data, used to decide whether a use case is worth a full build.

Typical deliverables:

  • Proof of concept in about four weeks
  • Accuracy and cost measured on real examples
  • A go or no-go recommendation
  • Production estimate with a budget cap
[ Getting Started ]

How an AI Project Starts With Us

Three steps that keep the first spend small until the use case proves itself.

1. Use Case and Data Review

We look at the process you want to improve, the data available, and the people who will use the result every day.

2. Four-Week Proof of Concept

A prototype on your own sample data, starting from $10K. You see real outputs, error rates and running costs before deciding on more.

3. Production Plan

If the results hold up, we agree on scope, integrations and a budget cap. A production system usually takes three to four months.

[ Our Approach ]

Why Companies Build AI With Akveo in Poland

An EU team that treats data protection and measurable quality as part of the engineering work.

Running Costs Known Early

The proof of concept measures what each AI request costs, so the production budget is based on real numbers.

Your Data Stays Controlled

Models can run in EU cloud regions or your own infrastructure, and we sign a data processing agreement before touching any records.

Measured Results

Every proof of concept ends with numbers on accuracy, speed and cost per request, which makes the next decision straightforward.

Small First Step

Starting with a four-week proof of concept limits the risk to a fixed amount before any larger commitment.

You Own Prompts and Code

Source code, prompts, evaluation sets and documentation are handed over and belong to your company.

A team discussing a project around a laptop

[ Start Small ]

Considering an AI Project in Poland?

Tell us the process you want to automate and the data behind it. Our team will reply within 1 business day with next steps and a rough estimate.

[ Case Studies ]

AI Products We Have Built

Three AI systems in production, two of them for companies based in the EU.

AI AgentsAutomotive

AI Mechanic Agent for a Swedish Startup

65% average token cost savings via prompt caching

CarmyAI wanted drivers to describe a car problem and get a diagnosis, a cost estimate and repair steps. We built a Claude-based agent with 24 automotive tools that chains several tool calls per answer and streams each step so users can follow the reasoning.

See more details
AI Mechanic Agent for a Swedish Startup
Generative AIEdTech

AI-Personalized Language Learning Platform

Full SaaS platform delivered in 7 months

Skrivanek, an EU language services company, needed exercises that adapt to each learner's level. We built a SaaS platform with an assistant based on OpenAI GPT models that supports over 30 languages, along with user management and Stripe payments.

See more details
AI-Personalized Language Learning Platform
AI AssistantSaaS

AI Coach for Goal and Task Management

50% faster task execution

A productivity company wanted an AI assistant that helps people break goals into milestones and stay on track. We delivered an MVP as a progressive web app built with Next.js, OpenAI and LangGraph, with automated reminders and push notifications.

See more details
AI Coach for Goal and Task Management
[ Tech Stack ]

Models and Tools We Use

We choose models by accuracy, cost and where they are allowed to process your data.

Models

OpenAI GPTAnthropic ClaudeAmazon BedrockOpen-source models

Orchestration

LangChainLangGraphTool callingPrompt caching

Data and Retrieval

PostgreSQL with pgvectorSupabaseVector searchDocument parsing

Application Layer

Next.jsNode.jsPythonAWS and Azure
[ Testimonials ]

Why Clients Stay with Us

95% of our partners continue working with us beyond the initial scope and more than 70% stay with us for 2+ years.

Michael Bruns

A partner who thinks along with you

I’ve worked with Akveo on multiple small and large-scale projects over the last few years. Akveo is innovative, agile, and reliable. If you are looking for a development partner who thinks along with you, you will enjoy working with Akveo.

Michael BrunsPartner, PwC
[ FAQ ]

AI Development in Poland FAQ

Start With an AI Use Case

Tell us what you want AI to do and what data it can use. We reply with an approach and a proof of concept estimate.

Dmitry Klim
Dmitry Klim
Head of Growth
Clutch
5900 Balcones Drive #21729, Austin, TX 78731[email protected]+1 (512) 921-9631