What we do
Consultancy, development and integration at the core — and the things we specialise in around them, from web and app development to SEO and AI automation. Pick anything to see what it includes and how it connects.
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Strategy that separates genuine opportunity from hype. We assess where AI and technology create measurable value, pressure-test feasibility against your data and hand you a costed, prioritised roadmap — vendor-neutral and grounded in what will actually ship.
What's included
Often paired with
Custom software and AI engineering taken to production standard — from generative AI and LLM systems to predictive models and the web and app products around them. Real, tested software, not proofs of concept that stall in a notebook.
What's included
Often paired with
Getting technology out of the lab and into daily operations — connected to the tools your teams already use, deployed reliably and kept healthy with monitoring, security and automation, so it keeps paying back long after launch.
What's included
Often paired with
Fast, branded websites and web apps, designed and built to convert — from a single landing page to a full customer-facing product, and it is all yours to own.
What's included
Often paired with
We take the repetitive, time-sapping work that eats your week and let it run itself — AI agents and automated workflows wired into the tools you already use, working accurately and around the clock so your team is freed for the work that actually needs a person.
What's included
Often paired with
An automated, on-brand social presence that stays active without eating your week — planned, created, scheduled and tracked across the platforms that matter to your customers.
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Often paired with
Paid advertising that pays back — AI-assisted creative and tightly managed campaigns across search and social, built around your cost-per-lead rather than vanity metrics.
What's included
Often paired with
Getting you found by the right customers — the technical, on-page and local work that moves you up the search results before your competitors get there.
What's included
Often paired with
Strategy and advisory that separates genuine opportunity from hype. We assess where AI can create measurable value in your organisation, pressure-test feasibility against your data and systems and hand you a costed, prioritised roadmap — vendor-neutral and grounded in what will actually ship.
Structured discovery across your workflows and data. We prioritise use cases on a value-versus-feasibility matrix, model expected ROI and total cost of ownership and sequence a delivery roadmap with clear success metrics.
An honest audit of data quality, availability and lineage; assessment of pipeline, infrastructure and MLOps maturity; and a gap analysis that tells you what needs to be in place before models go anywhere near production.
Reference architecture design and a clear-eyed build-vs-buy analysis — proprietary APIs versus open-weight models, managed platforms versus self-hosted — optimised for cost, latency, data residency and long-term ownership.
Responsible-AI framework, model-risk assessment and data-protection guidance aligned to GDPR and the EU AI Act — so security, auditability and accountability are designed in from day one, not retrofitted.
Focus areas
Custom AI and machine-learning engineering, built to your requirements and taken to production standard. From generative AI and LLM systems to predictive models and the applications around them — real, tested software, not proofs of concept that stall in a notebook.
Retrieval-augmented generation (RAG) over your own knowledge base, vector search and agentic workflows with tool use and function calling. Fine-tuning and parameter-efficient tuning (LoRA/PEFT), structured prompt engineering and evaluation harnesses with guardrails to keep outputs accurate and safe.
Forecasting, classification, anomaly detection and recommendation systems. Feature engineering, model training and validation and rigorous offline/online evaluation — with interpretability baked in so stakeholders can trust the outputs.
The software that wraps the model: full-stack web applications, conversational assistants, internal tools and dashboards. Clean APIs and human-in-the-loop UX so the technology is genuinely usable by the people it is built for.
The pipelines that feed everything: ETL/ELT ingestion, embeddings generation, vector and feature stores and batch or streaming data flows — the unglamorous foundation that makes AI dependable at scale.
Representative stack
Getting AI out of the lab and into daily operations — connected to the tools your teams already use, deployed reliably and kept healthy in production. This is where MLOps, security and adoption meet and where most AI projects quietly fail. We make sure yours does not.
Connecting models into your CRMs, ERPs, data warehouses and internal tools through APIs, webhooks and event-driven pipelines. Process automation that removes manual steps without disrupting the way your teams work.
Containerised deployment with Docker and Kubernetes, CI/CD pipelines for models and prompts, a model registry with versioning and rollback and infrastructure-as-code for reproducible, auditable environments.
Production telemetry for latency, cost and quality; data- and model-drift detection; continuous evaluation; and alerting and logging — so issues are caught early and performance is provable, not assumed.
Role-based access control, secrets management, PII handling and redaction and full audit trails. Private, VPC, or on-premise deployment options where data residency and confidentiality are non-negotiable.
Platform & tooling
VIDA