We connect AI to the software and data your teams already use, and make it work reliably in production.
What we do
Every client project is designed around your processes, your data and your systems. There are two ways it usually starts.
Your CRM, case management, call centre or finance platform stays where it is. We add the AI layer on top: document understanding, search, assistants and agents that work with the tools and data your teams already use.
When the system you need does not exist yet, we design and build it end to end: back end, interface, AI pipeline and infrastructure. You get a production system, not a prototype.
Structured data from invoices, forms, contracts and handwritten notes, with every value traceable to its source.
Teams question large document sets in plain language and get answers that cite where they came from.
Agents that plan, act and update your systems, with human approval wherever it matters.
Real-time guidance for advisers on live calls, and voice agents that handle calls themselves.
Chat for your website and channels, connected to your back-end data rather than a script.
Audit trails, measured evaluations and human-in-the-loop controls, built in from the first release.
Industries
We have put AI systems into production for clients in five sectors. Each one has its own rules, its own data and little room for error.
Invoice processing across any layout, and tax-return preparation for accountancy firms, with every input and output kept for audit.
CV screening, candidate matching and recruiter dashboards that explain every ranking they produce. Clients include Amply.
Live-call assistance that puts the right information in front of the adviser while the customer is still talking.
Research across scanned, handwritten and mixed documents, with every answer linked back to its source.
A system in production reads a person's entire medical history, often thousands of pages of poor handwriting and decades-old scans, establishes the facts and generates structured fact sheets for legal casework.
The same methods apply to any process that runs on documents, data or conversations.
Tell us about yours
Deep Trust Search is an AI-powered legal research tool combining OCR and large language models (LLMs) to process unstructured data. It reduces research time, improves accuracy, and enables law firms to deliver AI-enabled services.
This solution helps accountants and accountancy firms to automate the tax return filing process by interpreting instructions on a variety of tax authority forms.
Security
Sensitive data should not have to leave your control to benefit from AI. We agree the level of protection with you before any work starts, then deploy the models to match.
Level 1
Models run in the AI provider's own cloud. The quickest route to production when your data allows it.
Level 2
Models run in secure, Microsoft-managed cloud deployments, for organisations that need enterprise cloud controls.
Level 3
We deploy the AI models ourselves on dedicated cloud machines, independent of any model provider's service.
Level 4
For the most sensitive work, the models run on privately hosted machines inside your own infrastructure.
At every level we build in audit trails, so what the AI was given and what it produced can be traced.
Discuss your security needsHow we work
You see measured results on your own data before you commit to a full build.
We map the process, the data and the systems involved, and agree what success looks like in numbers.
We build a working slice on your real data and measure it against that target before you commit to more.
Full build, integration with your systems, testing and deployment into production.
We monitor, tune and extend the system as models, data and your needs change.
Our team has spent decades building business software. AI is the newest tool we use, not the only one we know.
We work with clients across the United Kingdom and the European Union, in your time zone and with European AI governance in mind.
We pick the best model for each task, commercial or open source, and design so that a better one can be swapped in without a rebuild.
Human-in-the-loop controls, evaluations and full audit trails mean every output can be traced and explained.
Our own products
The multi-model, multi-modal platform that our client systems are built on.
A multilingual voice agent for real phone calls.
Try the Astra demoAutomated call-quality analysis for voice channels.
Try the Aura demoQuestions
Yes, and it is most of what we do. We connect to your existing databases, APIs and tools, so your teams keep working where they work today and the AI comes to them.
No. Most projects start with scans, PDFs, call recordings, spreadsheets and handwritten notes. Turning that into reliable, structured data is part of the work.
We agree a measurable target with you, then build a proof of concept on your real data and test it against that target. You decide on the full build with results in front of you, not promises.
Whichever suits the task. We are not tied to one vendor: we combine commercial and open-source models, and we design each system so the model can be changed later without rebuilding it.
In production we keep model inputs and outputs traceable, put people in the loop where decisions carry weight, and build with European AI governance in mind. Every answer can be traced back to where it came from.
That is your decision, and we agree it before any work starts. Depending on how sensitive the data is, the AI can run in the provider's cloud, in a secure Microsoft-managed cloud, on dedicated cloud machines we deploy for you, or on privately hosted machines inside your own infrastructure.
No. Finance, recruitment, customer service, legal and medical are where we have delivered so far. The same methods apply to any process that runs on documents, data or conversations.
A few lines about your systems and the problem you want solved is enough to start. We will come back with an honest view of what AI can do for it.