Services

Everything we build, in plain language.

Six engineering practices, plus the supporting work that keeps them running. Most engagements start with one problem and grow into the rest. You are not obliged to take all of it.

01

AI & Machine Learning

Generative AI, agents and applied machine learning, built so they survive contact with production rather than stopping at a demo.

Chatbots & assistants

  • Customer support bots for websites and apps
  • Lead generation and qualification bots
  • Appointment and booking assistants
  • FAQ automation and guided conversation flows
  • Deployed to websites, mobile apps and messaging platforms

Models & integration

  • Large language model integration
  • Natural language processing systems
  • Machine learning models trained and fine-tuned on your data
  • Connected to your existing tools rather than sitting beside them

AI beyond chat

  • Predictive analytics and forecasting
  • Recommendation engines
  • Sentiment analysis on reviews and support tickets
  • Automated reporting and business insights
02

SaaS & Product Engineering

Building a product is different from building a project. It has to be multi-tenant, it has to be operable by someone other than the person who wrote it, and it has to survive its own success.

From idea to MVP

  • Product strategy and scope definition
  • UX and interface design
  • MVP built to be extended, not thrown away
  • Technical architecture and data modelling

SaaS platform engineering

  • Multi-tenant architecture and tenant isolation
  • Authentication, roles and permissions
  • Subscription billing and metering
  • Public APIs, webhooks and integrations

Scale and operate

  • Performance and cost optimisation
  • Observability, alerting and incident response
  • AI features added into an existing product
  • Modernising a platform that has outgrown its architecture
03

Data & Analytics

Most AI projects fail on data, not on models. This is the part that decides whether anything downstream works.

Data engineering

  • Ingestion pipelines from applications, files and third-party APIs
  • Warehouse and lakehouse design
  • Transformation, quality checks and lineage
  • Batch and streaming workloads

Analytics & BI

  • Metric definitions agreed before dashboards get built
  • Dashboards and self-service reporting
  • Operational and executive views

Predictive work

  • Forecasting demand, churn and capacity
  • Segmentation and scoring models
  • Feature pipelines that feed production models
04

Intelligent Automation & Customer Engagement

Conversational AI, WhatsApp Business API and workflow automation, wired into the CRM and systems you already run.

Setup

  • WhatsApp Business API configuration
  • WhatsApp Cloud API integration
  • Verified business profile and template approval
  • CRM connection so conversations are not lost

Automation

  • Auto-reply and instant acknowledgement
  • Customer follow-up sequences
  • Promotional broadcast campaigns
  • Lead nurturing workflows
  • WhatsApp chatbots for common questions

Omnichannel

  • WhatsApp, SMS and email working from one flow
  • Automated customer journey management
  • Handover to a human at the right moment
05

Cloud & DevOps

The delivery machinery around the software. Done properly it is invisible; done badly it is the reason releases are frightening.

Cloud architecture

  • AWS, Azure and Google Cloud design and migration
  • Infrastructure as code
  • Cost modelling and optimisation

Delivery pipelines

  • CI/CD with automated testing and rollback
  • Containers and Kubernetes
  • Environment and release management

Run and secure

  • Monitoring, logging and alerting
  • Backup, recovery and resilience testing
  • Access control and cloud security posture
06

Digital Engineering

Web, mobile and enterprise applications, including modernising the systems that are quietly holding the business back.

What we build

  • Business websites and corporate portals
  • E-commerce stores with payment gateway integration
  • Landing pages built for a specific campaign
  • Web applications and customer portals
  • Inventory and customer management systems

How we build it

  • Mobile-responsive and cross-platform by default
  • HTML5, CSS3, JavaScript, React, Angular, Vue.js, Node.js, PHP
  • WordPress and Shopify where a CMS makes more sense than code
  • Hosting, domains and deployment handled for you

After launch

  • Ongoing maintenance and content updates
  • Performance optimisation and page-speed work
  • Security audits and patching
  • Technical support, including on sites we did not build

Also available

Supporting practices.

These usually come up once the core work is running. They are available on their own too.

07

Technology Talent Solutions

Dedicated engineering teams with specialised AI, software, data and cloud talent: AI and ML engineers, data scientists and engineers, software, cloud and DevOps engineers. Contract or long term, remote or on-site, with payroll and compliance handled.

08

CRM, Automation & ERP

Zoho, HubSpot, Salesforce, SAP and Odoo implemented and customised. Sales pipelines, onboarding, billing and reporting automated. Dashboards that someone will actually open.

09

Training & Consulting

Technology training, digital skills workshops, webinars and online courses. Digital transformation advisory and technology strategy consulting for teams making a decision they cannot easily undo.

10

Digital Growth Services

Search, paid media and content, run as one system and measured on what it returns: technical SEO, Google and Meta ads, social media, content and brand. Usually taken alongside the engineering work rather than on its own.

Next

Not sure which
of these you need?

Describe the problem instead of the service. We will tell you what it actually needs, including when the answer is nothing.

Talk to us

How we grow with you

Three stages, in the order most organisations actually reach them.

Phase 1

Start

Startups and teams building a first product

  • Product strategy and architecture
  • MVP and SaaS foundations
  • First AI feature in production
  • Cloud setup and deployment
Phase 2

Scale

Companies growing a product or a platform

  • Data platform and analytics
  • Applied machine learning
  • Intelligent process automation
  • Multi-tenant architecture and performance
Phase 3

Enterprise

Enterprises, MNCs and international clients

  • Enterprise AI and copilots
  • Platform modernisation
  • ERP and system integration
  • Dedicated engineering teams

Start with one thing.

Nobody needs all ten of these on day one. Tell us the problem that is costing you the most right now and we will start there.

Get in touch