Service 01

Artificial Intelligence & Data Engineering

AI becomes useful when it works on your data, inside your rules. We build agents, private language models and analytics that run where your data already lives.

Typical deliverables

  • Private LLM deployment
  • RBAC-enforced RAG
  • MCP agent pipelines
  • Forecasting models
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AI Agent & Workflow Automation

Takes repetitive multi-step work off your team’s desk.

Agents plan tasks and call your systems through secure APIs or the Model Context Protocol (MCP). Actions above an agreed risk threshold go to a person for approval.

DeliverableAgent service with guardrails, approval queue and full action log

Custom LLM & Fine-Tuning

A language model that knows your terminology and keeps data inside your network.

We deploy and fine-tune open-weight models (Llama, Mistral, Qwen) on your own servers or in your private cloud (VPC).

DeliverablePrivate LLM endpoint + fine-tuned model weights you own

RAG & Corporate Knowledge Base

Answers from your own documents, with the source for every answer.

Hybrid search (vector + keyword) finds relevant passages, a re-ranker keeps the best evidence, and access rights (RBAC) decide what each user may see.

DeliverableCited Q&A API + search interface with permissions

Predictive Analytics & Big Data

Spots churn, demand shifts and bottlenecks before they reach revenue.

Machine-learning models trained on your historical data, retrained on a schedule and monitored for drift.

DeliverableForecasting or scoring model + API + monitoring dashboard

Computer Vision & Speech Intelligence

Turns camera feeds and recorded calls into data you can act on.

Vision models for visual quality inspection on production lines; speech-to-text and sentiment analysis for multilingual contact centres.

DeliverableInspection or call-analytics pipeline with a review interface

Service 02

Software & Product Engineering

Secure software that is ready for AI features from the start — served close to your users and built on open standards.

Typical deliverables

  • Edge-native web platform
  • WebAssembly modules
  • Installable PWA
  • Multi-tenant SaaS
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Decoupled Enterprise Web Platforms

Lets your team publish without waiting for developers, on a hardened stack.

TypeScript and Next.js front ends on a headless CMS, separated from the back-end business logic.

DeliverableHeadless web platform + CMS + editor training

Edge-Native & Distributed Applications

Fast for users on every continent, not only near your data centre.

Application logic and caching run on edge runtimes such as Cloudflare Workers, close to each user; the origin is called only for fresh data.

DeliverableEdge application + latency monitoring by region

WebAssembly (Wasm) Solutions

Heavy desktop-style tools that run in the browser, with nothing to install.

Compute-intensive code — CAD viewers, financial simulations, media processing — compiled to WebAssembly for near-native speed.

DeliverableWasm module integrated into your web application

Progressive Web Apps (PWA 2.0)

An installable app for iOS, Android and desktop without app-store approval or fees.

Offline mode, background sync, encrypted local storage and push notifications from a single web codebase.

DeliverableInstallable PWA with offline sync

Spec-Driven Agentic Engineering & DevOps

Frequent, safe releases without lowering the quality bar.

AI-assisted delivery backed by written specifications, automated tests, static security scanning (SAST) and zero-downtime CI/CD.

DeliverableCI/CD pipeline with test and security gates

AI-Native SaaS Platforms

A SaaS product with AI built into its core, not bolted on.

Multi-tenant architecture with tenant-isolated vector stores, usage-based billing and per-user personalisation.

DeliverableMulti-tenant SaaS MVP + billing integration

Service 03

Product Design & Digital Strategy

Good design is what makes complex B2B workflows actually get used. We combine user research, design systems and controlled experiments.

Typical deliverables

  • Validated prototype
  • Figma-to-code design system
  • A/B test programme
Discuss this service

Product Discovery & UX Research

Confirms what to build before you spend on engineering.

Stakeholder interviews, workflow mapping, competitor review and high-fidelity prototypes tested with real users.

DeliverableValidated prototype + prioritised product backlog

UI/UX & Tokenized Design Systems

One consistent look and behaviour across every product you ship.

Figma-to-code design systems with accessible design tokens, a type scale and reusable components.

DeliverableFigma library + coded component library

Conversion Rate Optimization (CRO)

More qualified leads from the traffic you already have.

Session analytics, heatmaps and A/B or multivariate tests on onboarding, pricing pages and calls to action.

DeliverableExperiment roadmap + test reports with results

Service 04

Tech-Enabled Growth & Search Authority

Buyers now research vendors through search engines and AI assistants. We make your company easy for both to find, read and cite.

Typical deliverables

  • Entity schema + llms.txt
  • Technical SEO fixes
  • CRM funnel automation
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GEO (Generative Engine Optimization) & AIO

Helps ChatGPT, Perplexity, Claude and Google AI Overviews understand and cite you.

A connected entity schema (JSON-LD), an /llms.txt summary and factual, well-structured technical content.

DeliverableEntity schema + llms.txt + content plan

Programmatic Growth & Funnel Automation

Follows up with every lead at the right moment, automatically.

Your CRM, product events and messaging tools connected to trigger onboarding, lead-scoring and account-expansion sequences.

DeliverableAutomated CRM workflows + lead-scoring model

Technical SEO & Core Web Vitals

Removes the technical issues that hold back search rankings.

Server-side rendering, semantic HTML and fixes measured against Google’s Core Web Vitals (LCP, INP, CLS).

DeliverableTechnical SEO audit + implemented fixes

AI-Powered Social Listening & Engagement

Shows which industry conversations are worth joining.

Trend-analysis pipelines across social channels, plus brand-aligned AI assistants that qualify inbound questions and hand them to your team.

DeliverableListening dashboard + inbound triage assistant

Choosing an approach

RAG vs. fine-tuning vs. AI agents vs. predictive ML

Four AI approaches solve different problems. This is how they compare, and what each one delivers.

Comparison of RAG, fine-tuning, AI agents and predictive machine learning
ApproachWhat it doesBest whenData you needTypical deliverable
Retrieval-augmented generation (RAG) The model answers from your documents, retrieved at question time, and cites them Knowledge changes often and every answer must be traceable Documents, wikis and databases — no labelled training data Cited Q&A API and search interface with access control
Fine-tuning Adjusts an open-weight model’s behaviour, format or domain vocabulary You need a consistent style, output format or specialised terminology Hundreds to thousands of curated example inputs and outputs Fine-tuned model weights deployed in your environment
AI agent Plans multi-step tasks and calls your systems’ tools and APIs to complete them The work involves actions across systems, not just answers API access to the systems involved and clear business rules Agent service with guardrails, approval steps and an action log
Predictive ML Learns patterns in structured data to forecast or score You have historical records and a clear target, such as churn or demand Historical tabular data with known outcomes Scoring or forecasting model, API and monitoring

The approaches are often combined — for example, an agent that uses RAG to look up policy before it acts. We recommend the mix during discovery; see the engagement model

Not sure which service you need?

Describe the problem in a few sentences. In a free 30-minute call we will tell you which approach fits — or whether a simpler solution would do.

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