Work we've built and deployed.

Automates high-volume email workflows across customer support, sales, and operational teams. The system drafts responses using AI while keeping a human approval step before anything is sent. This reduces manual effort while ensuring teams remain in control of communication.

Email remains one of the most time-consuming operational channels in most organisations. Fully automated systems can introduce compliance and accuracy risks. Fully manual handling does not scale. This solution sits between those two extremes. AI prepares the response while people retain final approval.

Adapts large language models so they understand the language, data, and workflows of a specific organisation. The pipeline prepares, trains, and deploys models efficiently, even on limited hardware. The result is a domain-specific model ready to run in production without the cost of full model training.

Generic AI models do not understand how a particular business operates. Training a model from scratch can cost hundreds of thousands in compute. Fine-tuning existing models allows organisations to create domain-specific AI systems at a much lower cost. This pipeline provides a practical way to adapt models to business data without building large training infrastructure.

A transformer based language model implemented directly in PyTorch with pretrained GPT weights used to accelerate training. This provides full control over model architecture, training process, and deployment, allowing organisations to run AI systems entirely within their own infrastructure.

In regulated environments or organisations handling sensitive data, sending information to external AI services is often not acceptable. Building and running models internally ensures full control over data handling, infrastructure, and long term operating costs.

Machine learning pipelines designed to turn business data into structured, repeatable outputs such as predictions, classifications, and customer segments. Each pipeline includes data preparation, model training, and evaluation so results can be reproduced and improved over time.

Many organisations collect large volumes of data but lack the workflows needed to convert that data into reliable decisions. One off analysis in notebooks does not scale. Production pipelines ensure models can be reused, monitored, and continuously improved.

A secure, fully custom web application designed around the exact needs of the business. It includes authentication, administrative tools, and database integration, giving organisations complete control instead of relying on rigid SaaS platforms.

Many businesses rely on subscription software that only solves part of their workflow. They pay recurring fees while still adapting their processes around the limitations of the tool. A custom application allows the business to own the system, remove unnecessary licensing costs, and build exactly the functionality required.

A conversational AI assistant designed to handle routine customer support queries using your company's own knowledge base. It answers common questions instantly, provides accurate responses based on your documentation, and passes more complex issues to a human agent with the full conversation context preserved.

Support teams spend a large portion of their time answering the same questions repeatedly. This creates delays for customers and limits the time agents can spend on more important issues. By grounding responses in your existing documentation, the chatbot handles routine requests accurately and instantly, allowing your team to focus on the interactions that genuinely require human judgement.

An AI voice agent designed to manage inbound and outbound calls such as appointment booking, customer queries, and lead qualification. It understands natural speech, responds in real time, and transfers the call to a human agent whenever the situation requires it.

Running a call centre is expensive and difficult to scale. During peak hours queues build quickly, while outside working hours many calls go unanswered. An AI voice agent handles structured calls at any volume and at any time of day, ensuring customers always receive a response while human agents focus on complex cases.