Agents, document AI and automation, designed and built for you and deployed wherever your data is allowed to live, including entirely on your own hardware.
Start a projectAI agents in production across multiple multinational clients, reviewing promotional material.
A private RAG system a law firm uses to search its own case files, on its own servers.
Document extraction on a local vision model, reading scanned and handwritten tickets on site.
We keep a narrow focus: agents, document and vision AI, and the private systems to run them on.
Agents that take the first pass at slow, repetitive work across your data: reading documents, checking them against rules and drafting output for your team to review.
Turn scanned, handwritten and unstructured documents into clean, structured data, and search across your files with answers that cite their sources. Built for bad scans and worse handwriting.
For data that is not allowed to go to an outside provider, we build the whole system to run on your own hardware. Models, search and storage stay inside your network, which keeps GDPR and client confidentiality straightforward.
One small team takes your problem from first conversation to deployed system. The people who scope the work are the ones who build it. No handoffs, no junior bench.
We start from the business problem and your data: what the work costs you today, what the system has to do, and how we will know it works.
We build against your real, messy data and measure accuracy before anything ships, then deploy wherever it needs to run, cloud or your own servers.
Deployment is not the finish line. We stay through the first weeks of real use, fix what comes up, and make sure the system sticks in the day to day.
In a fully local deployment the model, the search index and the storage all sit inside your network. There is no outbound path for your data.
An agent that reads across structured market data and unstructured sources like filings and news, then surfaces candidate opportunities with the evidence attached. Analysts start from a shortlist rather than a blank page. Currently in testing.
Pulls structured data out of scanned and handwritten documents using a vision model that runs locally. Nothing is uploaded, so paperwork with personal and financial details never leaves the client's machines.
A RAG system that lets a law firm ask questions across its own case files and get answers with sources. Everything runs on the firm's servers, so privileged material never leaves the building.
Marks handwritten exam papers on local hardware, reading each script and applying the marking scheme consistently across a whole cohort. Student data stays in the country to meet GDPR, and teachers keep the final say over every grade.
Tios Tech is a two-person team. The people on your calls are the people writing the code: we scope, build and deploy every project ourselves.
Between us we cover applied AI, software engineering, data science and cloud infrastructure, alongside a background in commerce, so conversations about scope, cost and progress happen in plain business terms.
Everything on this page is work we delivered ourselves. No partner network, no subcontractors.
That is what we design for. The people who will use the system are involved from the first scoping session, we build against the data they actually work with, and we measure accuracy before launch. If it does not hold up in daily use, it is not finished.
Yes. When your data is sensitive we build the system to run on your own servers, inside your network. We have delivered fully local systems for clients with GDPR obligations.
If you have expensive, repetitive work over data, it usually is. We focus on AI agents, document and vision AI, and the automation around them, most often in data-sensitive fields like pharma, legal and finance.
We build. Advice comes with the project: we help you decide what is worth building, then we build it. We do not sell strategy decks.