Agents, document AI and automation for data-sensitive businesses, owned from first scope through to deployment, including systems that run 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.
Where we put AI to work for you, from the first conversation through to a system your team uses every day.
Take the slow, repetitive work your team grinds through and hand the first pass to an agent that does it across your data. We have built agents for investment research and regulatory review that are live with clients.
Turn piles of scanned, handwritten and unstructured documents into clean data, and let your team ask questions across their own files instead of digging by hand. It copes with the messy, real-world ones.
Put AI to work on your most sensitive data without it ever leaving your walls. We build systems that run entirely on your own hardware, for GDPR and the work the cloud can't touch.
One team takes your problem from the first conversation to a deployed, working system, and talks to you in business terms along the way, not just to your engineers. No handoffs, no junior bench.
We start from the business problem and your data, in your language. A commerce background means we talk to stakeholders, not just engineers.
Not a demo. We build against your real, messy data and validate accuracy, then deploy where it needs to run, in the cloud or on your own hardware.
The same people scope, build and deploy, and set the technical direction throughout. No handoffs to a junior bench.
An agent that reads across structured market data and unstructured sources like filings and news, then surfaces investment opportunities a team would otherwise spend days finding by hand. It does the slow first pass of research so analysts can focus on judgement rather than gathering. 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 or financial details stays on the client's own hardware while still being turned into clean, usable data.
A RAG system that lets a law firm ask questions across its own case files and get answers with sources, instead of digging through folders by hand. 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 team of technologists with over 10 years of combined experience across software engineering, applied AI, data science and consulting, in enterprise software, pharma and legal.
Between us we've put AI agents into production for multinational pharmaceutical clients, built privacy-focused RAG for a law firm, shipped document extraction on local vision models, and delivered full products from the ground up. We own projects from scoping through to deployment and set the technical direction.
Our backgrounds span applied AI, cloud infrastructure and product, as well as commerce, so we talk to business stakeholders in their language, not just engineers. The work reaches production, and that is the experience behind every engagement.
Yes. We build against your real data, check it holds up, and hand over a system your people use day to day. The agents we have built run live for multinational pharmaceutical clients, a law firm searches its own case files with a system we delivered, and a client runs our document extraction on their own hardware.
Yes. When your data is sensitive we build it to run on your own servers, so nothing goes to an outside cloud. We have delivered systems that stay fully on a client's own hardware to meet GDPR.
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 it. Advice is part of owning a project from first scope through to deployment, not a separate service. The same team that scopes your work is the one that delivers it.