We design and develop practical AI solutions that help organisations automate processes, unlock enterprise knowledge, improve decision-making and create intelligent digital experiences.
How many days of annual leave can I carry over to next year?
You can carry over up to 5 days. Days above that expire on 31 March unless your manager approves an exception in the HR system.
Each capability starts with a business problem and ends with a working solution inside your systems.
Build applications powered by large language models that generate, summarise, classify, transform and interact with information in natural language.
Connect AI to your documents, policies, SOPs, manuals and databases so people get answers grounded in your own content, with sources.
Agents that understand a request, look up the right information and carry out multi-step workflows through your enterprise systems, with approvals where they matter.
Detect objects, inspect products, read text and monitor safety from images and video, and send the results to the systems and people who act on them.
Read, classify and extract data from invoices, contracts, forms and scanned documents, validate it, and send it straight into your business systems.
Machine learning models that forecast demand, flag anomalies, estimate risk and recommend next actions, built on your data and delivered inside your applications.
We are software engineers first. We build AI into your ERP, CRM, HRM, web and mobile apps, APIs and workflows, so it works where your people already work.
AI is one step in a larger system. Here is where it fits.
Connect your enterprise knowledge to an assistant that retrieves the relevant information and gives grounded answers with sources.
Turn invoices, contracts and forms into validated data in your ERP, CRM or HRM, with a person reviewing anything uncertain.
Agents understand a request and carry out the steps through the systems you connect them to. They act only through the tools and permissions you approve, and sensitive actions can wait for a person to confirm.
Examples of where these capabilities can be applied. Every solution is scoped to your own processes, data and regulations.
We choose models, tools and hosting for each project based on your data-protection, performance and cost requirements, and build everything to the same engineering standards as the rest of your software.
From a business problem to a solution running in your environment, and improving after launch.
Understand the business problem, data, users and desired outcomes.
Evaluate data readiness, existing systems, integration requirements, security and AI feasibility.
Design the AI architecture, user experience, workflows and integration model.
Build, integrate and test the AI-powered solution.
Evaluate accuracy, reliability, security, performance and user experience.
Deploy into your environment and integrate with existing systems.
Monitor usage, collect feedback and keep improving the solution.
Usually we build solutions on established models and tools, and train custom machine learning models where your problem and data call for it. The choice depends on your requirements for accuracy, cost and data protection.
We agree this with you at the assessment stage. Solutions can be deployed in your own cloud environment, access is controlled by your existing permissions, and we choose providers whose data terms meet your requirements.
Most organisations start with one well-defined use case. We assess feasibility and data readiness, build a pilot with real users and data, and extend it once it proves its value.
No. We are an enterprise software company, which is why our AI work is built into real applications and systems. See our software services.
Let's explore where AI can create measurable value for your organisation.
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