AI Product Studio · Senior Consultancy
An AI product studio and senior consultancy. From your problem to a deployed product — quickly, securely, at scale.
Worked with — across studio & individual engagements
How we work
No discovery theatre. A tight loop that turns a real constraint into working software — then keeps compounding.
Map the problem in your language — constraints, compliance, data, jobs-to-be-done. No months-long discovery theatre.
Pick the smallest architecture that survives 10×. AI where it earns its keep, not where it looks good.
Ship end-to-end: data plane, AI plane, product plane. Real code, real users, real load — in 6–12 weeks.
Your cloud or on-prem / air-gapped. CI/CD, monitoring, audit. Operate with your team or hand it over clean.
Module by module — each product becomes the substrate the next one builds on. Capability that compounds.
Where AI earns its keep
Replace email-and-Excel coordination with auditable AI workflows that plug into how the business already runs.
Domain-grounded AI with citations, audit trails, and data residency — built for places where a wrong answer is not an option.
Turn telemetry and operational data into decisions — from IoT ingestion at scale to governed, findable enterprise data.
The proof is shipped
Most consultancies sell slideware. We sell software we've already shipped — across legal, healthcare, fintech, ops, and consumer.
How we plug in
From a single deployed product to the data and cloud foundations underneath it — engaged where it moves the needle.
Idea → deployed AI product, end to end.
Design, build, and ship production AI products — frontend, backend, data plane, AI plane. For teams that want working software, not a discovery phase.
Large-scale, secure, audited data moves.
Production data engineering at scale — greenfield lakehouses to high-stakes air-gapped migrations. Built for regulated industries where leakage or audit failure isn't an option.
LLMs, RAG, agents — where they earn their keep.
Domain-grounded RAG, multi-agent workflows, vision pipelines. Skeptical by default — the question is always 'why is this AI and not a stored procedure?'
Make enterprise data findable, trusted, audited.
Cataloging, glossaries, lineage, and KPI standardization across business lines — the work that turns 'we have data' into 'we can use our data without a meeting'.
Cloud-native foundations that don't surprise you.
Azure Solutions Architect Expert and AWS Solutions Architect. Production architectures, IaC, CI/CD, and the observability that makes midnight pages rare.
RFP wins, not RFP responses.
Solution architecture and bid response for AI, data, and cloud — narrative, diagrams, BoQ, and demo. 100+ RFPs in a single year; multi-million-dollar wins.
Selected work
Client names anonymized to sector + scale by design. The details are real — happy to walk you through them on a call.
20 TB · DB2 → Informix · Zero downtime
Led a high-security, air-gapped DB2-to-Informix migration for a national ministry — architected the infrastructure, validated HDR before SDS for real-time resilience, and executed an encrypted 20 TB move with zero leakage.
0 → 1,000 users in 3 months
Designed and shipped an Azure-based legal assistant for processing and querying legal documents — taken from zero to 1,000 users in three months via an architecture and UX revamp in a two-week sprint.
FHIR / DICOM ingestion at scale
Built a medical imaging pipeline on Azure AI Foundry with FHIR / DICOM ingestion — enabling automated diagnosis and large-scale image analytics for hospital radiology teams.
Live portfolios · sub-second refresh
Built a financial assistant on Azure Synapse, Power BI, and Azure ML delivering real-time budget forecasting, portfolio analysis, and risk insights — productionized end to end.
3 business lines · 21 use cases
Implemented a data cataloging program across three business lines — stood up the catalog, designed an enterprise glossary with lineage, and mapped 21 use cases to standardized KPIs with a cross-domain knowledge graph.
Multi-customer Azure IIoT product
Designed and maintained customer-specific Azure IIoT solutions — IoT/Event Hub ingestion, Synapse and ADX analytics, Power BI and Grafana visualization, CI/CD via Azure DevOps, IaC via Terraform.
Who you'd actually work with
Founder · Data & AI Consultant · End-to-End Product Builder
Deep expertise in Azure, data engineering, and applied AI — delivered large-scale projects for governments, defense, and enterprise across Europe, MENAP, and APAC. In parallel, built and shipped a portfolio of production AI products spanning legal, healthcare, fintech, ed-tech, and enterprise ops.
“From zero to deployed product — quickly, securely, and at scale.”
Start with a conversation
A 30-minute discovery call. Bring a problem; leave with a clear-eyed read on whether — and how — AI actually helps. No pitch deck.