Find the right AI use cases before investing in development.
Connect AI to your existing systems and workflows.
Build autonomous AI agents that automate complex tasks.
Design and develop AI solutions tailored to your business.
Build secure, scalable AI systems for enterprise environments.
Legacy software modernization →
Upgrade outdated systems for better performance, security, and scalability.
Make informed technology decisions before investing in development.
Validate your product idea with user and business insights.
Define the right scope to launch faster and reduce risk.
Confirm your idea is technically viable before you build.
Capabilities
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We brought young developers together to explore the future of AI agents. More editions are coming soon.
DEWe help companies stay ahead by improving their existing systems or building entirely new AI-powered solutions.
From AI consulting to production-ready systems, we take you from idea to implementation.
You’ll speak directly with Marin, a senior engineering consultant with 25+ years of international experience. Connect with him on LinkedIn.
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Your systems don’t need to be replaced, AI can enhance what you already have and unlock new value from your data.
Best suited for:
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Starting fresh? We design and develop AI-first applications that create new capabilities, products, and revenue streams.
Best suited for:
Give teams an AI assistant that understands your product, docs, and workflows, so employees get answers and get work done without switching tools.
Extract, classify, and structure data from contracts, invoices, and forms, cutting manual review time and reducing errors at scale.
Deploy agents that don’t just answer questions but complete multi-step processes end to end, across your existing systems.
Score leads, classify accounts, and clean up CRM data automatically, so reps spend time selling instead of searching.
Turn scattered internal documentation into a single, accurate source teams and customers can query in natural language.
Add AI-ready data pipelines and interfaces to older systems, unlocking new capabilities without a full rebuild.
Run models on your own infrastructure for regulated industries where data can’t leave your environment, no public API required.
Build on OpenAI, Anthropic, Gemini, or open-source models, so you’re never locked into one provider’s pricing or roadmap.
Deploy sub-second voice assistants and chat interfaces for customer service or hands-free operations.
These are just the most requested builds. If you have a use case that doesn’t fit neatly into a category, that’s exactly the kind of problem we like to scope, talk it through with our engineering team.
We hire only the top 1.5% of applicants through rigorous technical and cultural evaluation. 42% hold an M.S. in Computer Science, and many have worked on complex projects for companies like Microsoft and AT&T, making them some of the strongest engineers in the industry.
Your engineers work on your project exclusively, no split attention across other clients, no context-switching between codebases. You get full-time focus from senior people who actually know your product.
Our engineers think beyond code. They look at the product, the user, and the problem you’re solving, then make technical decisions that support real outcomes. This approach leads to smarter solutions and software that moves your business forward.
We built multiple AI agents and systems for our sales department: automatic lead scoring, industry classification, CRM cleanup, a shared knowledge base, and the infrastructure connecting it all to live CRM data. Reps now start each week with a ranked list of leads instead of a guess. See more →
AI Business Platform launched in 5 months with GPT content, smart search, and CRM.
We’re engineers so it’s not surprising we know how to get the most out of digital tools. Here’s a snapshot of what we use:
Languages
Python
Go
Rust
R
AI platforms
Anthropic
OpenAI
Hugging Face
Gemini
Llama
Mistral
Databases
PostgreSQL
Apache Cassandra
MySQL
Amazon Redshift
Pinecone
Qdrant
Chroma
Cloud Platforms
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Nvidia DGX Cloud
Architectures
On-premises
Cloud
Hybrid
Edge
Frameworks
TensorFlow
PyTorch
LangChain
LlamaIndex
Streamlit
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Don’t worry, whatever it is, we’ve got you covered in our FAQ.
Depends on scope, but our default is a dedicated team that takes full ownership of the build, or a team extension if you already have engineers and just need to fill an AI-specific gap. Either way, it’s senior engineers only, and the team stays on your project exclusively, no split attention across other clients.
Either works. If you already know what you want built, we can move straight into planning. If you’re still working out the shape of it, we usually start with a short discovery phase to nail down scope before committing to a full build, so you’re not paying for engineering time on something that’s still changing.
Yes. For regulated environments, we run models locally on Spark, our in-house AI workstation, so nothing is sent to external providers or public APIs during development, testing, or integration.
No. We build across OpenAI, Anthropic, Gemini, and open-source models, so your architecture doesn’t depend on one company’s pricing or roadmap. If a model provider changes course, you’re not stuck rebuilding from scratch.
Hard to say precisely without knowing your scope, that’s what moves the number most. As a rough ballpark, a scoped agentic workflow or AI feature engagement typically runs €150k to €300k. Larger or longer-running programs, especially ones that include modernization work, tend to land at €500k+. The real number comes out of the first conversation, once we understand what you’re actually building.
We build every system with security in mind from day one, not bolted on for a procurement review. We’re ISO/IEC 27001 certified, and depending on your industry, we build toward HIPAA, GDPR, or SOC 2 requirements as well. That includes secure coding practices, access control, and audit trails throughout, not just at handoff.
Here, we’ll discuss how to choose the right AI development company, which is key to your AI app’s success.
AI is the future and it’s here to stay. Here, we bring you 10 best AI features you can add to your app.
