DR Cloud · Digital Twin AI

Digital Twin AI driving revenue and reducing costs

DR Cloud turns the data you already have — bookings, footfall, sensors, transactions — into a live digital twin of your operation. Claude-powered agents work on that twin through governed, read-only tools and skills, showing where revenue is being left behind and where costs can come out.

Platform · SaaS

DR Cloud: one platform between your data and your AI

Your data comes in once. Your AI gets the tools to reach it and the skills to use it well. You decide exactly what it can see.

01

AI tools

Your data exposed as MCP tools, the open standard AI clients use to call external systems. Plug DR Cloud into Claude, an in-house agent or a copilot, and it can query your live data straight away.

02

AI skills

Packaged know-how (forecasting, yield, anomaly detection, reporting) that teaches an AI how to work through a business question with your data, not just fetch rows.

03

Agent framework

A production framework for building tool-using Claude agents that combine DR Cloud tools with your own, for scheduled briefings, alerts and workflows that run without anyone prompting them.

04

Data platform underneath

Ingest from any machine-readable source (APIs, files, databases, event streams, IoT feeds), process it in use-case pipelines and stream results in real time to dashboards and downstream systems.

AI tools

Your data, callable by any AI client — on your terms

An AI that can call tools is only as safe as the tools you give it. DR Cloud is built around that.

  1. 01

    Built on the open MCP standard

    Works with Claude and any other Model Context Protocol client, so you're not tied to one AI vendor and won't need to rebuild when you switch.

  2. 02

    Read-only by default

    Every tool is a query, not a change. An AI can analyse and report on your data, but it can't be talked into deleting, overwriting or reconfiguring anything.

  3. 03

    Opt-in, one capability at a time

    Nothing is exposed unless it has been explicitly approved. If a capability hasn't been opted in, the AI can't reach it.

  4. 04

    Scoped keys and permissions

    Each AI connection runs on its own API key with its own permissions and account scope, and can be revoked at any time.

DR Cloud pipeline with a Claude agent built on @anthropic-ai/sdk Data from APIs, files, databases and IoT feeds is ingested by DR Cloud and processed in pipelines, which provide skills and read-only MCP tools. A Claude agent built on the @anthropic-ai/sdk package sends a request to the Claude API with the skill as context, receives a tool_use call, runs it against DR Cloud's MCP tools, and returns the tool_result to Claude, looping until Claude ends its turn. The final answer is delivered as answers, briefings, alerts and updates to systems such as ERP or CRM. SOURCES OUTCOMES APIs Files Databases IoT feeds DR CLOUD 01 INGEST 02 PIPELINES 03 SKILLS 04 MCP TOOLS READ-ONLY · SCOPED KEYS CLAUDE AGENT @anthropic-ai/sdk CLAUDE API messages.create TOOL CALL tool_use MCP RESULT tool_result ↻ LOOP UNTIL END_TURN FINAL ANSWER → Answers Briefings Alerts ERP / CRM
Illustrative pipeline · DR Cloud tools and skills driving a Claude agent built on @anthropic-ai/sdk

AI skills

Skills: the expertise your AI picks up, not just the access

Tools let an AI reach your data. Skills tell it what a good answer looks like in your business: which figures matter, how to check them and how to present them.

Analysis skills

Answer the commercial question

Step-by-step methods your AI follows to turn raw operational data into a defensible number, using the same statistics behind our professional engagements.

  • Demand & occupancy forecasting
  • Pricing & yield analysis
  • No-show prediction
  • Anomaly & drift detection
Operational skills

Put the answer to work

Skills that turn analysis into something a team can act on, delivered in the tools they already use, on a schedule or on demand.

  • Daily & weekly briefings
  • Threshold alerts
  • Footfall-driven staffing
  • Asset & sensor health

How it works · Agentic AI

Agents that watch, reason and act — around the clock

Not a chatbot waiting for a question. DR Cloud agents run a continuous loop on your digital twin, working towards the goals you set, inside the guardrails you set.

Sense

Agents watch the live digital twin (bookings, footfall, sensors, transactions) on a schedule or on a trigger, without waiting to be asked.

Reason

Claude works out what changed, why it matters and what it's worth, using the skills that encode how your business makes decisions.

Plan

The agent breaks the goal into steps and chooses which governed tools to call, in what order, to get a defensible answer.

Act

It runs the queries and delivers the recommendation, alert or briefing where your team already works. Changes to systems of record wait for a human to approve them.

Review

Every run is logged with the data and tool calls behind it and measured against the outcome, so you can see what's working and tune it.

Professional services

Prefer us to build it with you?

DR Cloud is self-serve once it's connected. When you want hands-on help, our team takes you from first data source to AI in production.

01

AI & Data Readiness Diagnostic

A two-week look at what you already collect, and which questions an AI could answer from it today, delivered as a short, specific brief.

02

Tool & Skill Build

We connect your sources to DR Cloud and build the tools and skills your use case needs, shipped against your stack.

03

Agent Development

Custom Claude agents and copilots built on DR Cloud, so frontline and ops teams get an answer in seconds instead of a query in a backlog.

04

Managed Optimisation

Ongoing tuning of models, skills and tools as your season, mix and customers change, with a standing reporting cadence.

Why trust the answers

Built by people who've shipped this where failure isn't an option

DataRealiser's engineering discipline comes from a decade delivering recurring-revenue SaaS analytics and geospatial digital-twin systems for operators who can't tolerate a wrong forecast — including AI-powered orchestration software running in production for a national airline.

That same rigour — governed access, production-grade delivery, measurable commercial outcomes — is built into every DR Cloud tool and skill, for hospitality and events first and for the infrastructure sectors we came from.

  • British Airways
  • Civil Aviation Authority
  • London North Eastern Railway
  • Heathrow Airport
  • International Airlines Group
  • BT
  • EA Technology
  • EDF Energy

Start here

Put AI to work on the data you already have

Tell us which data you want your AI to work with, and we'll show you DR Cloud running against it: the tools, the skills and the answers, live.