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.
We’ve worked on a wide range of AI features — always shaped by the problem, not the model.
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
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Agentic AI goes beyond simple automation. Instead of just reacting to inputs, these systems can plan, take initiative, and work toward goals with minimal guidance. We help teams explore where agents can add real value
The EU AI Act is changing how 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
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
We care about what your AI does, how it behaves, and how users experience it.
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
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.
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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.
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.
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 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.
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.
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.
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.
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