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Artificial Intelligence

AI Integration

We integrate AI into your software where it genuinely adds value, not because it's trendy. Pragmatic advice, hands-on implementation.

Book a discovery call → See case studies →

Cancel any week. Last week refunded if we didn't blow you away. No hours tracked.

  • 75+ products shipped
  • 10+ years experience
  • No-Bullshit Guarantee
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What We Do

AI Model Integration

We embed open-source and closed-source models into your existing applications, from prompt engineering to fine-tuning and RAG pipelines.

Third-Party AI Services

We connect your product to ChatGPT, Claude, Perplexity, and other leading AI APIs with reliable, cost-conscious implementations.

AI Evaluation

Not sure if AI is the right fit? We assess your use case honestly and tell you where AI will create value and where it won't.

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What principles guide our AI work?

  • ✓
    No fluff. We won't add AI to your project just to put it in a press release.
  • ✓
    Practical solutions. Every integration we build has a clear, measurable business purpose.
  • ✓
    Honest advice. If AI isn't right for your situation, we'll say so and suggest what is.
  • ✓
    Cost-conscious. AI APIs aren't free. We architect solutions that are efficient and don't silently drain your budget.

 Discuss your AI use case

HOW WE DEVELOP SOFTWARE

How we develop Software

Five phases. Fixed prices. No lock-in.

Phase 01

Discovery Phase

Fixed price at 3.500€ Buy now
  • Requirements Engineering
  • Software Architecture
  • Milestone Plan
  • Technical Flows and Sequence Diagrams
  • Launch Plan and Milestone Plan
Phase 02

First Iteration

Fixed price between 15–20k€ (MAX) Book Discovery Phase
  • Building your real MAP (Minimal Awesome Product)
  • Cost-effective approach. Strip requirements to 15–20k max
  • Test directly on the market as cheaply as possible with real customers
  • Discovery Phase cost is deducted as a rebate
Phase 03

Subsequent Iterations

Fixed price packages / Agile Fixed Price What is Agile Fixed Pricing?
  • Building and extending product based on real customer/user demand
  • Ideally partially funded by real sales
  • Data-driven development decisions (watch user behavior over user demands)
  • Continuous improvement cycle
Phase 04

Maintenance

Fixed weekly retainer 750€ / week, cancel anytime Apply now
  • Security patches (nobody likes data breaches or losing money)
  • Fixing bugs (can be a major reason of customer churn)
  • Technical support (most companies have an abysmal customer support)
  • Performance, cost & CI/CD optimization
Phase 05

Further Dev / Hand-Over

Your product, your team. We'll never lock you in.
  • We'll never make you dependent on our team
  • Smooth transition to your internal team
  • Knowledge transfer and documentation
  • Continued support as needed
Fixed price at 3.500€ Buy now
  • Requirements Engineering
  • Software Architecture
  • Milestone Plan
  • Technical Flows and Sequence Diagrams
  • Launch Plan and Milestone Plan
Fixed price between 15–20k€ (MAX) Book Discovery Phase
  • Building your real MAP (Minimal Awesome Product)
  • Cost-effective approach. Strip requirements to 15–20k max
  • Test directly on the market as cheaply as possible with real customers
  • Discovery Phase cost is deducted as a rebate
Fixed price packages / Agile Fixed Price What is Agile Fixed Pricing?
  • Building and extending product based on real customer/user demand
  • Ideally partially funded by real sales
  • Data-driven development decisions (watch user behavior over user demands)
  • Continuous improvement cycle
Fixed weekly retainer 750€ / week, cancel anytime Apply now
  • Security patches (nobody likes data breaches or losing money)
  • Fixing bugs (can be a major reason of customer churn)
  • Technical support (most companies have an abysmal customer support)
  • Performance, cost & CI/CD optimization
Your product, your team. We'll never lock you in.
  • We'll never make you dependent on our team
  • Smooth transition to your internal team
  • Knowledge transfer and documentation
  • Continued support as needed
// proof

Proof, not promises

Twinsoft AI

Live
2 weeks To Sellable MVP

Took a vibe-coded prototype to enterprise pilot-ready, no shortcuts.

Python / Flask LLMs Terraform
AI 2026

PromptID

Live
6 weeks 0 to Production

AI-native assessment platform, 0→production in 6 weeks under compressed market pressure.

NestJS NextJS LangChain
AI 2026

Hyperstate AI

Wind Down
GPU Monolith → Microservices

Split a GPU-heavy monolith into orchestrated services and swapped self-hosted ML libs for scalable alternatives. Latency and cost …

Python / Django OpenAI API Neo4j
AI 2025

What clients say

Google

Built multiple venture-backed startups with Wavect over 4 years. World class team. They're great thought partners while in discovery, reliable and predictable engineers while in dev, and just generally great guys to work with. Highly highly recommend you work with this team for your next project.

Joseph Miller
Original
LinkedIn

Getting to know Kevin was very exciting! He is burning for his topics and is a guy who is walking the extra mile. His thoughts and passioned approach for the work is absolutely amazing. He has a holistic view and is not stuck in tech topics at all. His huge strength is that he knows the customer's requirements and understands them without needing to ask what they want.

Also his will to constantly get to know the latest knowledge is felt in the daily work. Since the web3 area is a highly dynamic one this is a necessity and Kevin is coping with it like a charm.

Erhard Dinhobl AI System Engineer
Original
Trustpilot

Delivered all work on time, even under tight deadlines. The perfect balance between professional standards and a collaborative working relationship.

MyDevConnect Team
Original

Independently rated 4.7/5 on Google Read the reviews

FAQs

Honest answers about AI in production

End any week, with one message. No notice period, no exit interview, no fine print. We invoice weekly, so the most you’re ever committed to is the current week.
It’s in your contract: tell us, and we refund that week. No questions, no invoices to dispute, no calls to escalate. The only rule: refunds apply to the most recent week.
Because hours are the wrong metric. If we’re optimizing for hours billed, we’re not optimizing for your outcome. The deal is simpler: every week, we earn the next one. If we don’t, you don’t pay. We’re free to spend zero hours or sixty. What matters is whether you’re blown away.
We work with operators, not lottery winners. If a request would require breaking physics, the law, or a third party’s systems, we say so, and if we can’t align, we walk. The guarantee is mutual: you can fire us any week; we can also fire ourselves.
Both, depending on what’s right. For 90% of business use cases, well-prompted frontier models (OpenAI, Anthropic, open-weights like Llama) outperform a custom fine-tune at a fraction of the cost. We reach for fine-tuning only when the task is narrow, the data is proprietary, and the cost math works. We’ll tell you which case you’re in honestly.
Three layers: structured outputs with JSON schema validation, retrieval-augmented generation grounding the model in your sources, and evaluation harnesses that score real responses against expected behavior on every deploy. We don’t ship AI features without a way to measure when they’re wrong.
Your data sits where you tell it to, and the products we build for you run under your own license with the AI provider, so the data-privacy terms are whatever you’ve signed. If you have an enterprise contract with OpenAI, Anthropic, Azure, etc., your data is contractually excluded from training. If you’re on a default tier, review the provider’s terms before you wire production data through it. For sensitive cases, we deploy open-weights models in your own cloud (AWS Bedrock, GCP Vertex, self-hosted) so the question never arises. We never use your data to train anything for anyone else.
Prototype: a week. Production-ready with evals, guardrails, and observability: 4–8 weeks. The slow part isn’t the AI, it’s everything around it: auth, billing, rate limiting, content moderation, audit logs. We’ve shipped enough to know where the time actually goes.
Depends on the build. For RAG and agents: LangChain, LangGraph, LlamaIndex, and the Vercel AI SDK on the frontend. For self-hosted inference: vLLM, Ollama, llama.cpp, Hugging Face Transformers. For evaluation: Braintrust, Phoenix, OpenAI evals. For observability: LangSmith, Helicone, Langfuse. We pick boring, proven tools over the hype cycle, the AI stack shifts every six weeks so we choose what we can rip out cleanly.
Prompt-engineering integration on top of an existing app: €5-15k. A RAG system over your own docs with evals and a real UI: €15-40k. A multi-step agent with tools, memory, and guardrails: €40-100k+. Runtime API costs are separate and depend on model and token volume. We budget the API spend into the proposal so you don’t get a six-figure surprise from OpenAI in month two.
When the same job is doable with a SQL query, a rules engine, or a form. When you need sub-200ms latency. When 100% deterministic output is non-negotiable (legal contracts, financial postings, medical dosing). When there’s no feedback loop to catch when the model is wrong. We’ll tell you ‘don’t do this’ if the use case doesn’t justify it, even if it shrinks the engagement.
Real agents. We build AI agents that call tools (function calling, MCP), execute multi-step plans (LangGraph state machines), read and write to your databases and APIs, and run unattended on schedules. Shipped examples: invoice-triage bots, internal-research agents, content-ops pipelines, automated QA harnesses. Chatbots are the boring case. Agents that move work forward are where the leverage lives.

Get to know us

Long-term relationships over quick wins.

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