Data you can act on
Turn your data estate into decisions with analytics, forecasting, data engineering, and clarity at every level.
Explore Data System ↗We turn complex operations into intelligent systems, combining data science, custom software, and AI agents that move your business forward.
Most partners offer a piece of the puzzle. We connect the complete intelligence layer, from raw data to real-world impact.
Turn your data estate into decisions with analytics, forecasting, data engineering, and clarity at every level.
Explore Data System ↗Deploy responsible AI agents, RAG systems, and workflow automation that deliver value beyond the demo.
Explore AI System ↗Design and build secure, high-performance platforms your teams love to use and your business can grow on.
Explore Software ↗The same path every time: each stage producing something real, so value arrives long before the final step. Select a stage to see what it produces.
We start with the decision that is blocked, not the technology. Rapid discovery gets us to the highest-value problem, what it costs you today, and an honest answer on whether technology is even the right fix.
From custom software and mobile applications to data systems and intelligent automation, D-SAi builds technology around real business problems. Named client work sits alongside the technical work we deliver under confidentiality.
Named client work, live and in production.
A recruitment platform for a London staffing agency: the site and systems behind how they attract and place candidates.
The future of hospitality, for free. Connect with the best, in just one click. Built for the web and shipped as native Android and iOS applications.
A learning and academy platform built alongside the MH Premier group.
Systems and applications built for client operations. Most of this work sits behind a confidentiality agreement, so it is described by what we delivered rather than by who we delivered it for.
Web-based systems designed around a specific business workflow rather than a generic template.
WorkflowSystemAdoption
Modern, responsive web applications built for real day-to-day operational use.
DesignBuildDeploy
Native mobile applications developed for Android and iOS, through to store release.
CodeAppDevice
Improving, extending and maintaining software systems that are already in production.
LegacyRefactorExtend
Connecting applications, APIs, databases and third-party services into one workflow.
AppAPIService
Data engineering and analytics work delivered for clients we do not name.
Designing and implementing the processes that extract, transform and load data across systems.
SourceTransformDestination
Cleaning, validating and preparing complex datasets so the analysis on top of them holds up.
RawValidateReady
Business dashboards that turn operational data into something a team can read and act on.
DataChartsDecision
Analysing business data to surface the trends, patterns and problems worth acting on.
QuestionAnalyseInsight
Statistical and machine-learning approaches that support forecasting and prediction.
HistoryModelForecast
Designing and analysing experiments to establish which change actually performs better.
VariantMeasureDecide
Analysing customer behaviour and churn signals to support better retention decisions.
BehaviourSignalAction
AI and automation work delivered for clients we do not name.
Assistants that answer questions, support users and take the repetition out of communication.
AskUnderstandRespond
Systems that reason through a task, use tools and carry out the steps involved.
GoalReasonToolAction
Multi-step workflows that read context, make a decision and then act on it.
ContextDecideExecute
Retrieval-augmented generation that grounds a model in trusted business knowledge and documents.
QuestionRetrieveContextGenerate
Automation that connects business events, decisions, systems and the actions that follow.
TriggerAIAction
Intelligent workflows that combine AI, APIs, business logic and the software already in place.
EventLogicSystem
We combine software engineering, data intelligence and artificial intelligence to build systems that solve real operational and business challenges. More on how we approach it in D-SAi Insights.
Alongside client work, D-SAi develops its own platforms, which is where a lot of what we learn gets proven first.
D-SAi AI Studio brings every frontier AI model into one sleek, powerful workspace. Chat, create, automate. Without limits.
What is creating the highest delivery risk this quarter?
↗3 delivery signals require attention. Supplier lead-time variance is projected to impact Q3 margin by 8.4%.
AI-native workforce management built for hospitality.
Visit ScanRoster ↗
A unified team inbox for WhatsApp, Facebook Messenger, Instagram direct messages, and website live chat.
Visit InboxPulse ↗AI-powered customer lifecycle management.
Visit RetainCLM ↗Currently in development.
An e-commerce product, currently in the works.
Client work is most of what we do. It is not all of it. Shobdo is a D-SAi product, taken from an idea to a live web application in house, and it is the same team, the same standards, and the same arguments about what is actually worth building.
Meet Shobdo
Shobdo is a walkie-talkie for your closest friends. Short voice notes, delivered instantly. No likes, no followers, no feed.
The web application works in any mobile browser today and installs to the home screen, no app store needed. Native iOS and Android apps are on the way, and the store links will replace these badges the day they ship.
Hold to talk
Voice effects
Most firms sell one slice and subcontract the rest. The seams between those slices are where projects quietly lose their value. We work across data intelligence, artificial intelligence and software engineering as one team.
The people modelling your data are the ones building the software it runs in, so definitions, pipelines, and interfaces stay in agreement.
AI judged on whether it survives production, not on how well it demos. Sometimes the honest answer is that a script would be better.
Optimised for the second year, not the first launch. Tests, boundaries, and documentation are what make change affordable later.
D-SAi grew out of four years of building software for real businesses, and noticing that the software was rarely the hard part. That pushed the work upstream into data, then into AI, and eventually into whole systems.
Read our story ↗Straight answers on how D-SAi works, what we build, and what happens after you get in touch.
D-SAi builds intelligent systems across three disciplines: data intelligence, artificial intelligence, and software engineering. Rather than delivering one slice and subcontracting the rest, the same team connects your data, adds AI where it genuinely helps, and builds the software that puts both in front of the people doing the work.
Both. Software engineering is a core discipline, not an add-on. D-SAi builds web applications, SaaS platforms, enterprise systems, APIs and cloud architecture, and adds data and AI capability to those systems where it earns its place.
We measure the baseline first: how the task performs today in time, cost, and error rate. Then we look for work that is high volume, rules heavy, and expensive in human hours. If a process change or a simple script would do the job better, we say so rather than building an AI system you do not need.
Yes. The architecture is deliberately tool agnostic. We work with the cloud, warehouse, and stack you already run wherever that is sensible, and only recommend changing something when the change earns its cost.
Five stages, run as overlapping cycles rather than a waterfall: Understand the decision that is blocked, Design the system around the people who will use it, Build in tested and continuously deployed increments, add Intelligence where data and AI genuinely help, then Scale, harden, and hand over. Each stage produces something usable on its own, so value arrives before the final step.
Yes. Alongside client work D-SAi develops its own platforms: D-SAi AI Studio, a multi-model AI workspace; ScanRoster, AI-native workforce management for hospitality; InboxPulse, a unified team inbox; RetainCLM, AI-powered customer lifecycle management; and Shobdo, short voice notes between close friends. Career+ and an e-commerce product are in development.
That is the intent. Systems are built with tests, clear boundaries, and documentation, and every engagement ends with enablement and handover so your team can extend the system without a standing invoice. We stay on for the improvements that keep paying off, not because you are locked in.
It depends on scope, and we would rather be direct about that than publish a number that fits nobody. The enquiry form asks for a budget range so we can tell you quickly whether what you have in mind is realistic within it, and suggest a smaller first step if it is not.
Use the enquiry form on this page. Tell us what you are trying to build, improve, automate, or solve. A real engineer reads every enquiry, and you will usually have a reply within one business day.
Tell us what you're trying to solve. We'll explore the right technology approach together.
We'll review your request and get back to you as soon as possible.