AI learning experiences, built for your brand.

Safe, game-based AI learning for the children you already serve, in your name and run by your own team.

Fictional example: Eco AI Explorer, for a nature centre

Fictional example: Eco AI Explorer, for a nature centre. Children design a pond. Asked to make it “nice”, the AI helper cuts the reeds and the wildlife leaves. A clearer card adds a boardwalk and the wildlife returns.

See how it works

Children make a choice. They see what it changed.

Try a mission from our Eco Town prototype. Every experience we build runs on the same loop.

  1. MissionA clear goal
  2. ChoicePick a card
  3. ConsequenceSee what changed
  4. RethinkTry another path

Lab GuidePrototype AI · scripted · can be wrong

MissionYour town on the windy hill has 6 wind turbines and solar panels on 20 roofs. Keep the lights on after dark.

Pick a card to tell the AI helper what to do.

24-hour test SolarWindBatteryGasNot enough

Pick a card to run the test day

Learn more about how it works
What children practise
  • Define a goal
  • Give clear instructions
  • Spot assumptions
  • Question the output
  • Test fairly
  • Decide and explain

These habits stay useful whichever AI tools children meet later.

In the full prototype

Each world has six stages with three cards at each, so there are 729 possible paths and no single right answer. One card at each stage is vague, so the AI has to guess.

About this demo

Numbers are simplified for the web. The AI helper is scripted, so no live AI model is involved. In a session, a facilitator prompt after each result helps children explain what they would change.

Why organisations use it

Safe for children. Simple for your team.

  • Safe by design

    Children choose from designed prompt cards, and every response is written and tested in advance. No open chatbot and no child accounts.

  • Easy to deliver

    Your own staff run it, inside sessions you already deliver. They do not need to be AI specialists.

  • Built around your organisation

    Your subject, your audience and your learning goals shape the story, the missions and what children make.

Our experiences are prototypes in development. We agree the set-up, data handling and safeguarding with each partner before any pilot.

Examples

One platform. Many learning worlds.

The learning loop and safety controls stay the same. The story, objectives, branding and output become yours.

Fictional brands. The engine is real and runs in our prototypes.

For a STEM provider

AI Inventor Lab

Children program a rover, refine their instructions, test on sand and check what its camera claims to see.

Runs as
One licensed module, delivered the same way in every club and classroom
Children make
A rover spec sheet
For an activity centre

Mission AI

Teams vote on a route against the clock, see what the AI assumed and plan again before sunset.

Runs as
A themed challenge that fits a camp session and any trained leader can run
Children make
An expedition map
For a museum or visitor centre

AI Time Traveller

Children test the AI’s version of the past against evidence from the venue’s own collection.

Runs as
A mission built from your collection or site, for school visits and family days
Children make
A traveller’s diary

What partners get

Everything you need to launch it and run it.

  • Branded learner experienceYour name, look and tone on every screen.
  • Learning and game designMissions, choices and outputs mapped to what you teach.
  • Facilitator package and trainingSession plans, on-screen prompts and a full practice session for your team.
  • Deployment and ongoing supportDevice checks before launch, then updates from real sessions.

How we work

Start small. Scale what works.

  1. 1

    Co-create

    We design one experience with you, around your audience, goals and setting.

  2. 2

    Pilot

    Your team runs it with a first group of children, and we learn from it together.

  3. 3

    Scale

    We refine it from the pilot, then license it across your sites.

Who is behind it

Built by the team behind DeltaOps.

DeltaOps designs AI training and automation for organisations. Delta Learning brings that experience to how children learn to work with AI.

Oliver Ramirez
Oliver RamirezCo-Founder and CEO of DeltaOps, Head of Automation11+ years across Amazon Prime Video, Henkel and DeltaOps. Has redesigned 100+ workflows and led automation programmes saving 5,000+ hours a year.Google AI and Anthropic certified
Arpan Bakshi
Arpan BakshiCo-Founder of DeltaOps Learning, Head of Agentic ArchitectureFormer co-founder of an AI training firm and former team lead at Foster + Partners, working in sustainable design, energy modelling and computational design.Anthropic certified
DeltaOps track record
  • 250+executives and SME founders trained to use AI at work
  • 100+hours of weekly work automated for a LinkedIn content agency
  • 10hours of manual work automated every week for a market research agency
Prototypes we have already built
  • EnergyEco Town
  • WaterRiver Town
  • FoodGrow Lab
  • SpaceMoon Base
  • SportKick Lab
  • MusicBeat Lab

Six worlds built in-house, plus the four example games on this page, all running on the same engine.Six worlds built in-house, covering energy, water, food, space, sport and music, plus the four example games on this page.

Start a conversation

What could this become for your organisation?

Tell us who you work with and what you already deliver. A rough idea is enough to start.

Or email us at hello@deltatraining.co