You will get Functional AI POC in 1 Day
Project details
You'll get a working, functional AI proof-of-concept — not a slide deck or a clickable mockup — that proves your idea on a real example before you commit a big budget.
I'm a senior AI engineer and founder of a deep-tech AI studio, building natively with Claude and AI-native tooling (Cursor, agentic workflows) every day. I've shipped multi-agent systems, RAG assistants, and live automations end to end.
Here's how it works: we lock one clear use case, I build it fast, wire in your data (or realistic mock data), and hand you a live demo with a short walkthrough and an honest one-pager — what works, the limitations, and the smartest next step. Explainable, EU-friendly, and model-agnostic (Claude / GPT / others).
If you can describe the outcome you want, I'll show you the shortest path to a result you can actually try.
I'm a senior AI engineer and founder of a deep-tech AI studio, building natively with Claude and AI-native tooling (Cursor, agentic workflows) every day. I've shipped multi-agent systems, RAG assistants, and live automations end to end.
Here's how it works: we lock one clear use case, I build it fast, wire in your data (or realistic mock data), and hand you a live demo with a short walkthrough and an honest one-pager — what works, the limitations, and the smartest next step. Explainable, EU-friendly, and model-agnostic (Claude / GPT / others).
If you can describe the outcome you want, I'll show you the shortest path to a result you can actually try.
AI Development Type
Knowledge Representation, Recommendation SystemAI Tools
Google AutoML, MLflow, PyTorchAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$690
|
Standard
$2,400
|
Advanced
$5,900
|
|---|---|---|---|
| Delivery Time | 1 day | 1 day | 1 day |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | ||
Model Documentation | - | ||
Ontology | - | - | |
Source Code | - | - | |
Taxonomy | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$590Frequently asked questions
About Leonardo
AI Apps, Agents & Integration | Explainable AI | EU/GDPR | POC in 8h
Frankfurt am Main, Germany - 2:38 am local time
As founder & CEO of a deep-tech AI studio, my edge is that I start with your knowledge: clean ontologies and data structures, so models stop hallucinating and start producing reliable, defensible output.
What I deliver:
• Decision Intelligence & explainable AI — define goals, model scenarios, get auditable recommendations (explain · forecast · simulate · recommend)
• LLM agents & workflow automation — e.g. unstructured email → classified → SAP/CRM ticket
• Knowledge graphs, ontologies & RAG for trustworthy, non-hallucinating AI
• AI integration into existing stacks (SAP, CRMs, custom apps) via API, embeddable "magic button", or on-prem Docker
• Full-stack build — Next.js, FastAPI, Python, AWS, CI/CD — plus AI strategy & governance
I move fast: I can stand up a functional, provable technical POC in ~8 hours, so you see what works before committing six-figure budgets.
Best fit: regulated & mid-market teams (finance, public sector, education, industry) introducing AI and needing it done right — fast. 8+ years founding and shipping ventures; senior, hands-on, EU-based.
Available for: hands-on builds & POCs · AI consulting & strategy · fractional / part-time AI leadership.
Tell me the outcome you're after, and I'll show you the shortest path to a working result. Let's connect.
Steps for completing your project
After purchasing the project, send requirements so Leonardo can start the project.
Delivery time starts when Leonardo receives requirements from you.
Leonardo works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff & scope lock
A short call or async message to confirm the single use case, the success criteria, and which data/model we'll use — so the POC proves the right thing from the start.
Rapid build (AI-native)
I build the working prototype with Claude and AI-native tooling (Cursor, agentic workflows) — frontend, backend, or agent logic, depending on your case.