Custom AI Development & Software Solutions

AI Development That Actually Ships

Most AI projects fail in production. Models that work in notebooks break when they meet real data, real users, and real scale. We build AI systems that survive contact with reality.

What We Build

Machine Learning Systems — Classification, regression, NLP, computer vision
LLM Applications — RAG systems, chatbots, content generation, document processing
Data Pipelines — ETL, feature stores, real-time processing
AI-Powered Products — Full-stack applications with AI at the core

Our Development Process

Phase 1: Validation (1-2 weeks)

Before writing production code, we validate the approach. Can we get the accuracy you need? Is the data sufficient? What are the edge cases? You get answers before major investment.

Phase 2: Development (4-8 weeks)

Iterative development with weekly demos. You see progress every week and can adjust direction based on real results, not promises.

Phase 3: Deployment (1-2 weeks)

Production infrastructure, monitoring, and handoff. Your system is deployed, documented, and ready for your team to maintain.

Phase 4: Support (ongoing)

Optional ongoing support for monitoring, retraining, and improvements. AI systems need care—we can provide it or train your team.

Technology Expertise

ML Frameworks

PyTorch, TensorFlow, scikit-learn, XGBoost, LightGBM

LLM & NLP

OpenAI, Anthropic, LangChain, Hugging Face, spaCy

Infrastructure

AWS, GCP, Azure, Docker, Kubernetes, MLflow

Data

PostgreSQL, MongoDB, Redis, Elasticsearch, Snowflake

FAQ

How much does custom AI development cost?

Projects typically range from €25,000 for focused features to €150,000+ for complex systems. We scope carefully and give you a fixed price before starting.

How long does development take?

Most projects ship in 6-12 weeks. We prioritize getting something into production quickly, then iterating based on real-world feedback.

Will my team be able to maintain it?

Yes. We write clean, documented code and provide thorough handoff. If you don't have ML expertise in-house, we offer ongoing support packages.

What if the AI doesn't perform well enough?

We validate feasibility in the first 1-2 weeks before major development. If results aren't promising, we'll tell you honestly and discuss alternatives. You won't pay for a system that doesn't work.