CTO-level judgment
Architecture, risk, AI behavior, and delivery decisions are made by the person building your system, with 10+ years as a CTO behind them.
Urbano DX
Fixed-price AI and software, scoped and built by Urbano.
At Urbano DX, the engineer who scopes your project builds it: Urbano, a CTO for 10+ years, with delivery proven on client work in Spain and Japan and on products of his own that are live in production today. Every engagement starts with a written scope, an NDA, a DPA, and acceptance criteria your procurement, security, and management teams can review before work begins.
Poland-based company invoicing UK businesses under the VAT reverse charge, so no VAT is added on top of the quote
Contracted delivery from Poland, with tax and procurement treatment confirmed per engagement
UK GDPR and EU GDPR aligned, hosted in London or Frankfurt: NDA, DPA, and subprocessor list reviewable before any work begins
Continuity by contract: your code in your repository from day one, documented handover, named backup, optional escrow
Why Urbano DX exists
Most product and AI initiatives lose momentum because the first working result takes too long to reach a real user. Urbano DX is built for narrow, well-defined wins: one focused build, one named owner, one working system, with the contracts, audit logs, and acceptance criteria that justify the next investment.
Software, SaaS, and product teams
MVP web apps / Admin panels / Customer portals / Feature prototypes
AI workflow and LLM teams
LLM assistants / Knowledge search with citations / Document automation / Human-review workflows
API and operations teams
SaaS integrations / Reporting automation / Support triage / Backend workflow tools
Procurement-friendly by default
NDA, DPA, written acceptance criteria, audit logs, and clean reverse-charge invoicing from the EU, so security review and finance sign-off never bottleneck delivery.
Evidence before expansion
Paid audits and PoCs produce a risk register, acceptance criteria, and demo recordings, so budget approval for broader rollout has actual evidence behind it.
A narrow first project, documented end to end
The best first projects are not transformations. They are focused builds with sample data, written acceptance criteria, weekly demos with the business owner, a visible success metric, and a documented path to scale.
Fixed scope, written exclusions, and a formal change-order process
Weekly demos with the product or business owner
Human review on sensitive AI decisions, with audit logs
Bilingual handover, runbook, and next-step roadmap
Business information
Clear company details for your procurement review.
Your finance and procurement teams need to confirm who they are contracting with before an NDA, quote, or security review. Urbano DX keeps the operating model explicit from the first conversation.
Trade name
Urbano DX
Legal base
Polish company, invoicing from Poland
Operating base
Krakow, Poland, serving UK businesses
Primary contact
urbano@urbanodx.com
Delivery focus
Software, web apps, APIs, AI workflows, LLM features, and fixed-scope PoCs
Formal documents
Legal entity, tax-registration identifiers, billing details, and contracting terms are included in quotes, invoices, NDAs, and SOWs.
Registration, tax, data, and AI-use assumptions are confirmed per engagement before they appear in contracts or procurement documents.
Partner network
Urbano DX is an OpenAI Select Partner.
A tier in the OpenAI Partner Network, reached through OpenAI's practitioner training and exams. It is not a security certification, an independent audit, or an endorsement of our products.
Public product reference, live in production
Buy Houses Japan is the kind of product Urbano DX builds end to end.
A live real-estate search web app for Japan. A plain sentence is parsed into structured filters the user can inspect and override, results render as a card list beside an interactive map, and every listing normalizes Japanese source data into comparable fields. Bilingual EN and 日本語, covering Kanto, Kansai and Kyushu. Public today, and available to walk through on a discovery call.
Read the product case studyPlain-sentence queries parsed into structured filters
AI-derived filters shown as editable fields, not a black box
Results list beside an interactive map with price pins
Japanese listing data normalized into comparable fields
News
How the news desk works
- Who runs it
- The desk is run by Urbano DX and edited by Urbano, a CTO for 10+ years. News pieces carry the byline "Urbano DX news desk" and are published by Urbano DX on this site.
- What it covers
- Dated UK rules and named vendor changes that make a UK business change its software: HMRC and Companies House deadlines, ICO guidance on AI and automated decisions, and changes in tools such as Microsoft 365, accounting platforms and AI model APIs. Each piece says what it means for your systems.
- Sources and times
- Every fact links to its primary source (the regulator's, government's or vendor's own page), listed with the date and time we read it. Another outlet is cited only for its own reporting, by name. Where a source leaves something open, we say it is not yet decided. Each piece shows when it was published and updated, in UK time.
- How pieces are made
- Pieces are drafted with AI tools from those sources. Before publication a separate review, also AI-assisted, reads every source again and checks each fact. Opinion appears only under "Our take". These are source-based reports, not hands-on tests.
- Corrections
- We correct on the page itself: a visible correction line at the top and a new updated time. To report an error, write to urbano@urbanodx.com.
- Images
- Lead images are our own diagrams or screenshots of our own work; otherwise openly licensed images or a vendor's public press image, credited under the picture. We never present a generated image as a real product, person or place.
- Our interest
- Urbano DX sells software and AI builds to UK businesses. A news piece may link to that work; no piece is sponsored or paid for by anyone it covers.
Start with one well-defined build.
The first conversation should confirm the users, data, APIs, timeline, security and AI-use constraints, and what evidence would unlock the next investment.