AI That Works for Your Product and Your Service

Make AI pay for itself.

We bring clarity and speed to AI development.

AI Built to Solve, Not Just Showcase

Whether you’re exploring a first use case or building an ML-heavy product, we help you find the right balance between ambition and practicality. It is not abo research theatre, no black-box magic. We scope what makes sense, build fast, and help your team stay in control. You’ll know what we’re building, why it matters, and how to move forward without getting stuck in complexity.

Use Cases We Are Good At

Our work on AI features has always been guided by the problem, not the model.

Our Scope:

Agentic AI that handle emails, tickets, and documents

LLM-powered chatbots, copilots, and search tools

Internal tools with auto-tagging, summaries, or insight generation

AI MVPs to validate product ideas fast

Recommendations, risk scores, predictions, and more

AI Act Compliance

The EU AI Act is changing the way products are built and not every team has time to stay on top of it.  We help you understand how the rules apply, where the risks are, and what you need to document or adjust

We help with:

Clarifying whether your product falls under the AI Act

Guidance on documentation, human oversight, and logging

Practical steps for startups to stay compliant

Risk classification and what it means for your roadmap

Ongoing updates as the rules evolve

Responsible by Default

We care about what your AI does, how it behaves, and how users experience it.

What’s Under the Hood:

Transparent model choices and fallback logic

Human-in-the-loop design if needed

Guardrails to reduce errors and hallucinations

Data privacy and control built in

Clear docs and logs for future review

Your Tech, Your Terms

Smart Platform Decisions, Built Around You

We use tools that fit your needs, not the other way around. You stay in control, and your site stays fast and easy to manage.

LLM

We work with GPT-4, Claude, Mistral, and open-source LLMs. Whether you're building a chatbot or RAG system, we help you choose what fits your users and budget.

ML

For predictive models or custom scoring, we use tools like scikit-learn, XGBoost, TensorFlow, and PyTorch. We also help with classical regression, clustering, and time series forecasting.

Integrations

LangChain, Pinecone, FAISS, Weaviate — we pick the right tools to power vector search, smart agents, and retrieval logic. Everything stays tailored to your data and product flow.

Infrastructure & Deployment

We build and deploy using FastAPI, Docker, Vercel, and AWS. You get reliable APIs, simple dashboards, and scalable setups that your team can understand and extend.

We Build Products, Not Just Code

How We Approach Every Project

We apply product-driven thinking from day one, shaped by years of experience in conversion optimization. Every step is designed to ensure the end result is not just functional but truly impactful.

Phase 1: Discovery & Problem Framing

We don’t rush the start. We ask questions, get fully involved, and challenge anything that doesn’t make sense. Our proposals are detailed and thoughtful so we plan properly and avoid late-stage surprises. Our job is to help you think clearly and build the right product from day one.

Activities
  • Stakeholder workshops to align goals, users, and constraints
  • Define business goals, user needs, and project outcomes
  • Map key workflows, audiences, and pain points
  • Prioritize initial ideas and define success metrics
Outcomes
  • Aligned product vision
  • Shared understanding of users and context
  • Clear, prioritized direction for next steps

Phase 2: Solution Design & Planning

Together with you, we shape the right solution. We co-create flows and designs based on real user behavior and define a roadmap that balances impact with effort. Our goal is to move forward with clarity.

Activities
  • Design key flows and user journeys
  • Co-create wireframes or prototypes (low or high fidelity)
  • Define key functionality and content needs (MVP if applicable)
  • Plan architecture, integrations, and technical foundation
Outcomes
  • Validated solution direction
  • Clear feature/content scope
  • Solid technical or creative plan

Phase 3: Agile Build & Iteration

We build in focused loops. Each sprint delivers working software you can see and test. We stay flexible — learning from feedback, improving the UX, and adjusting scope along the way. You’re always in the loop.

Activities
  • Work in delivery sprints or cycles with frequent check-ins
  • Continuously test features, flows, or designs with users
  • Refine priorities, fix issues, and adapt scope
  • Run quality and usability reviews
Outcomes
  • Working product or deliverable at every step
  • Fast feedback loops and visible progress
  • Adaptive roadmap that supports change

Phase 4: Launch, Learn & Grow

Launch is just the beginning. We help you learn from users, improve the product, and plan next steps. Whether it's optimization or scaling, we’re still there — focused on long-term value, not just delivery.

Activities
  • Launch with monitoring, support, or handover
  • Collect user behavior, analytics, or business data
  • Improve or optimize features post-launch
  • Plan for scale, new phases, or automation
Outcomes
  • Smooth launch and adoption
  • Continuous improvement process
  • Data-backed roadmap for iteration or growth
Growth You Can Measure

Success Stories from Our Clients

We believe results speak louder than promises. These case studies share how we worked side by side with our clients to turn ideas into launches, and launches into growth that continues long after the first milestone.

FAQ
What does AI product learning mean in practice?
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It means using data from your product and users to improve features automatically. For example, recommendations get smarter, workflows get faster, and customer experiences become more personal over time.
Can AI really save me time and money?
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Yes. By automating repetitive tasks, analyzing data at scale, and making predictions, AI reduces manual work and speeds up decision making. This frees up your team to focus on higher value tasks.
Do I need a huge dataset to start?
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Not necessarily. We can start with the data you already have and grow from there. Many solutions work with smaller datasets when paired with smart models.
What kind of AI solutions do you build?
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From recommendation engines to chatbots, workflow automation, and predictive analytics. We tailor the solution to your business, not the other way around.
How fast can we go live with AI features?
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Depending on complexity, we can build and launch AI features in weeks. Simple automations can go live even faster.
We'd love to hear about your project
Let’s explore how we can create lasting impact together.

We're here to help you build something that works, scales, and delivers value from day one.

Vitalii Lutskyi
Operating Partner

One-time offer for founders: Startup websites from €990 — only 6 spots left this September. Claim yours today.