Studio · Worldwide
We build very fast, very smart websites and digital systems — interfaces that are effortless for people and unambiguous for the models now reading the web alongside them.
head › application/ld+json
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Sky-Web",
"url": "https://sky-web.org",
"slogan": "Websites for People and Machines",
"areaServed": "Worldwide",
"knowsAbout": [
"high-performance web",
"AI-native interfaces",
"LLM optimization",
"dashboards",
"API integration",
"MCP servers"
]
}The same statement, served to a parser. Every page we ship carries one.
01 — Premise
Search engines used to be the only machines reading your site. Now assistants read it, quote it and act on it. A page has to satisfy both readers at once — and the two are not in conflict, provided somebody designs for both.
For people
Reads instantly.
Pages that open before the spinner would have appeared, on a phone, on a bad connection, on the other side of the planet. Clear structure, no dark patterns, nothing to wait for.
For machines
Parses cleanly.
The same page, stated in a form a crawler or a language model cannot misread: explicit semantics, structured data, stable addresses and an API where an interface is not enough.
02 — Capabilities
Five things we do, and they compound: the speed makes the intelligence usable, and the structure makes both legible to whatever is reading.
Speed is a design decision, not a final optimization pass. We ship lightweight architecture, minimal payloads and rendering that is already done before the request arrives.
A site is rarely just pages. We build the logic behind it: AI features, connected systems and automated workflows that keep working when nobody is watching.
Search is no longer only a search engine. Interfaces are read, parsed and quoted by models, so we make meaning explicit for every kind of reader.
Beyond public sites we build the interfaces teams actually operate: internal data tools, document pipelines and the connective tissue between platforms.
We write our own MCP servers and wire external systems into them, so an AI assistant can work with real data instead of a description of it.
03 — Selected work
A studio portfolio is usually a wall of landing pages. Ours is mostly the part you cannot screenshot: pipelines, catalogues, ledgers and MCP servers that other software talks to.
A high-precision Portuguese property tax calculator, built to be exact at the edge cases — and packaged so an AI assistant can run the same calculation through an MCP server.
Investment ideas from YouTube, turned into structured data: transcripts collected at scale, processed by AI and reconciled against live market and broker data.
Continuous collection from public Telegram channels, deduplicated and summarized by AI into a readable digest instead of an endless feed.
Integrations around the YouTube ecosystem: retrieval, transcription and normalization of video data into something downstream systems can query.
Large documentary collections put through OCR and AI cataloguing, with snapshots and indexes that make a scanned archive genuinely searchable.
Accounting and portfolio tooling with an MCP server in front of it, so balances, valuations and operations are available to an assistant under strict approval rules.
A custom CRM for link outreach paired with an MCP server that drives the semi-automated workflow — cutting the specialist’s time on a campaign by roughly ten times.
04 — Approach
We take a problem end to end. That is why the work stays coherent: the same people who design the page also write the API under it.
Remote by default, across time zones and jurisdictions. Projects run in English, delivery is asynchronous and documented.
From the rendered page to the API behind it, the data pipeline feeding it and the MCP server exposing it. One coherent system, not handovers.
Fewer moving parts, fewer dependencies, less to break. What we ship stays maintainable long after launch.
05 — Contact
Websites, dashboards, integrations, AI systems or an MCP server for something you already run. Describe the problem — we will tell you how we would approach it.
We read every message and reply personally, usually within a day.
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