We founded techCurl in 2008 on a straightforward belief: technology is only worth something when it solves a real business problem. A great deal has changed in the years since, and today much of our work is built on AI, yet the discipline behind it has not. We help you determine what is genuinely worth building, and then we build it properly, to a standard that holds up long after launch day.
They fail earlier, in the decision about what to build in the first place. A legacy system is modernised when it should have been left alone; an AI pilot impresses everyone in the room and is quietly never used again; a costly rebuild solves last year's problem with great precision. The engineering is rarely where things come undone.
By the time the first line of code is written, the decision that mattered has already been made. The real work lies in getting that decision right, and then engineering the result with genuine care. That is the part of the job we value most, and, as it happens, the part we most enjoy.
The senior people who scope your project are the ones who build it, and the ones you call when something needs fixing. You are never quietly passed to a more junior team once the work is under way.
Assistants that answer from your own data, act through the tools you already use, and know when a question really needs a person.
Years of scattered documents, wikis and tickets, turned into something your team can simply ask. The answers come back grounded and cited, not guessed.
Invoices, contracts, claims and forms, read and checked and turned into clean structured data, without the manual keying.
Agents that carry out real multi-step work rather than just chatting about it, and leave a full audit trail behind them.
Models that see. Quality inspection on the line, object tracking, visual search across a catalogue.
Forecasting and decision support that gives your data a say in what happens next, with the monitoring to keep it honest as things drift.
A model in a notebook is a long way from a system thousands of people lean on every day. We do the cloud architecture, the monitoring, the security and the governance that close the distance between the two.
We've watched enough projects begin with a shiny tool and end in quiet disappointment to do it the other way round. You see everything as it happens: the board, the code, the trade-offs, from the first week.
We begin with your business rather than our tech stack: what is hurting, what it is costing you, and where the real growth lies.
We shape a solution that fits the strategy and the people who will use it, and talk through the trade-offs in plain language.
Short cycles, working software every sprint, tested as it is written. You watch it take shape instead of waiting for a reveal.
We launch, and then we stay. Software is never really finished, and neither is our part in it.
Seventeen years across many industries teaches you what carries over and what doesn't. We bring the patterns that travel, and we take the time to learn the parts of your world that don't.
Conversational AI sitting on top of a global tech leader's live operations data. Ad-hoc reporting requests dropped 60–70%, and partners now get their answer in a single question.
Six machine-learning models plan each rep's day, ordered by revenue, with a GPT-4 briefing for every account they visit. In daily use across the US and Canada.
Visual, phonetic and semantic trademark matching at national scale, working through roughly 2,500 applications every day.
AI agents that read whatever format lands in the queue, from spreadsheets to scanned mail, and turn it into clean, validated invoices. Phase one is already live.
We pin down what success looks like before we argue about frameworks. The goal leads, and the technology follows.
We have been shipping software since 2008, which means we build for the demanding years after launch, not simply the version that demonstrates well.
Sometimes a model is the right answer. Sometimes a database query is. We will tell you which, even when the honest answer is the less exciting one.
The good relationships outlast the projects. We stay close, and we tend to still be useful long after the final invoice clears.
We know the technology. What we're really passionate about is solving the problem in front of you.
— the techCurl approach, since 2008
Tell us what you're trying to achieve. You'll get a straight read on how to get there, and an honest view on whether AI has any real part to play.