Engineering for the AI era

We design and build web, mobile and back-office software in which AI features — search, recommendations, classification, generation — are part of the architecture rather than an add-on. The AI layer is treated like any other component: versioned, tested, monitored and replaceable.

• Web
• Mobile
• APIs
• LLMs

Most businesses do not need a new product — they need AI to work with the CRM, ERP, ticketing or storefront they already have. We integrate models and AI services through clean APIs, keeping your current workflows intact and adding capability where it helps.

• REST
• Webhooks
• CRM
• ERP

A copilot sits beside the user and helps with the task in front of them: drafting, explaining, filling forms, finding records or suggesting next steps. We scope what it is allowed to see and do, so it stays useful and predictable.

• Assistant UI
• Context
• Guardrails

We integrate OpenAI models for text, image and speech tasks with attention to the parts that matter in production: prompt design, cost control, rate limits, data handling and graceful failure. Access is kept behind your own backend so keys and data stay under your control.

• OpenAI API
• Prompting
• Cost control

When a general model is not accurate enough, we help you build one that is. That covers defining the task, preparing data, training or fine-tuning, measuring results against a baseline and packaging the model so it can run inside your product.

• Fine-tuning
• Evaluation
• Python

Transformers power most modern language and vision systems. We build and adapt them for tasks such as text understanding, classification, embeddings and sequence prediction, choosing the smallest model that meets your accuracy and latency needs.

• Transformers
• Embeddings
• PyTorch

Instead of building everything yourself, you get an agent configured for a defined job — with hosting, monitoring and updates handled for you. It suits teams that want an outcome without owning the infrastructure behind it.

• Managed
• Monitoring
• SLA

A custom agent plans a task, uses the tools you give it — search, databases, internal APIs — and reports back. We define what it may do on its own and where a person must approve, so it is helpful without acting outside its remit.

• Tool use
• Planning
• Human-in-the-loop

Some jobs are better split across specialists — one to research, one to draft, one to check. We design how agents divide work, share context and hand results on, and we add checks so one agent's mistake is caught by another.

• Coordination
• Roles
• Review loops

Orchestration is the control layer: which agent runs when, what it can access, what happens when a step fails and how a person steps in. We build that layer so agent workflows are dependable, traceable and easy to change.

• Workflows
• Audit
• Retries

An agent is only as useful as what it can reach. We connect agents to your databases, SaaS tools and internal APIs using scoped credentials, so each one can read and act only where it is supposed to.

• APIs
• Scoped access
• SaaS

Traditional automation follows fixed rules; intelligent automation can also read a document, classify a request or decide a route. We map your process, automate the predictable steps and use AI only where interpretation is needed.

• Process
• RPA
• Documents

We look for the tasks people repeat every day — copying data between systems, sorting messages, preparing standard reports — and automate them in small, measurable steps, starting with the ones that free up the most time.

• Quick wins
• Integrations
• Reporting

Good AI starts with clean, accessible data. We build the pipelines that collect, clean, transform and store it, with quality checks along the way, so analytics and models work from a single trustworthy source.

• ETL
• Warehouse
• Pipelines

We take a business question, decide whether machine learning is the right tool, and if so build and validate a model against a simple baseline. You get a model you can explain and a clear view of how well it performs.

• scikit-learn
• Python
• Validation

Deep learning is the right choice when the input is rich and unstructured. We build and train neural networks for tasks like image recognition and audio analysis, and tune them to run within your speed and cost limits.

• Neural networks
• GPU
• TensorFlow

We build systems that detect, classify and read what is in images and video — from documents to shelves to production lines. Each one is tested on your own images, in your own lighting and conditions, before it goes live.

• OCR
• Detection
• Video

We apply natural-language techniques to emails, tickets, reviews and documents: classifying them, pulling out the facts, summarising them and understanding intent — in the languages your customers actually use.

• Classification
• Extraction
• Multilingual

Real information rarely arrives in one form. Multi-modal systems can read a scanned form, look at an attached photo and combine both with a written message to reach one answer.

• Text
• Image
• Audio

We build forecasting and prediction models on the data you already collect, and present results in dashboards people can read. Forecasts come with an honest sense of uncertainty rather than a single confident number.

• Forecasting
• Dashboards
• Time series

Retrieval-augmented generation lets a language model look things up in your knowledge base before it answers. That keeps responses grounded in your content, lets you point to the source and makes it easy to update knowledge without retraining.

• Vector search
• Citations
• Knowledge base

We build chatbots that handle common questions, collect the details a person needs and hand over to a human when the conversation needs one. They are trained on your content and tested on real questions before launch.

• Web chat
• WhatsApp
• Handover

Beyond simple question-and-answer, conversational systems remember what was said, ask clarifying questions and guide a person through a process such as booking, applying or troubleshooting.

• Dialogue
• Memory
• Channels

We combine speech recognition, a language model and natural-sounding speech to build agents that take calls or respond to voice commands. Latency and interruptions are tuned so the conversation feels natural.

• Speech
• Telephony
• Low latency

Generative AI can draft, rewrite, summarise and create. We build features around it — with templates, brand rules, review steps and safety filters — so what it produces is useful and consistent.

• Text
• Images
• Templates

Shipping a model is the beginning, not the end. MLOps brings version control, automated testing, deployment pipelines and retraining to machine learning, so improvements reach production safely and repeatably.

• CI/CD
• Versioning
• Pipelines

We deploy models to the cloud or your own infrastructure and monitor them for speed, errors, cost and drift — the gradual loss of accuracy as real-world data changes — with alerts so problems are caught early.

• Containers
• Alerts
• Drift

Regulators, customers and your own leadership will ask how your AI makes decisions and who is accountable. We help set up documentation, approval steps, access controls and audit logs so you can answer clearly.

• Audit
• Policy
• Access control

Larger organisations need single sign-on, role-based access, data residency, integration with existing platforms and long-term support. We build AI systems that meet those expectations from the start.

• Security
• SSO
• Scale

We work with leadership and technical teams to identify where AI fits, what to build first, how to organise the work and what to buy versus build — then help turn that into a delivery plan.

• Roadmap
• Workshops
• Architecture

Not every problem needs AI. We assess your processes, data and goals, rank ideas by value and effort, and tell you honestly which ones are worth pursuing — and which are better solved without it.

• Assessment
• Prioritisation
• Planning

If you want a single team to take an agent idea through scoping, prototype, build and launch, this is that engagement. We work in short cycles so you see something working early and can steer.

• Prototype
• Iterative
• End to end