AI / Digital twins

Didymo is PTR's own digital twin product.

Built for professionals whose time is scarce and whose questions carry weight: clinicians, advisers, educators, anyone fielding the same hard conversations on repeat.

Simon's Twin, listening on Didymo.

PTR’s CEO, Simon Lowe, has a digital twin that runs on Didymo.

Try a Didymo conversation: ask his digital twin about PTR's training.

Explore digital twins →

A woman in a navy suit and a man in a grey T-shirt stand facing each other in a dark studio, a single glowing panel floating between them at chest height.

What Didymo is

PTR's own digital twin product.

Didymo answers from the organisation's own approved material, on a phone or in a browser, for the professional whose questions repeat but whose time does not.

Explore digital twins Talk to PTR’s CEO, Simon Lowe’s digital twin

Answers drawn from the organisation's own approved material.
Four ways into the same conversation: chat, a voice call, a live on-screen avatar and a booked meeting.
Conversations linked to booking and follow-up.
Hands off to a real person when a conversation needs it.
Built to extend a professional's reach, not replace their judgement.

WAYS IN

Meet Didymo by using it.

Chat, a voice call, a live avatar on screen and a booked meeting are ways into the same conversation. Each runs on the phone or browser a visitor already has.

A tester types a message into a phone beside a designer.

Chat

Type a question on a phone or in a browser. Didymo answers in text, drawing only on material the organisation has approved.

Explore chat →

Voice

Speak instead of typing. A voice call with Didymo, on the phone or in a browser, in the twin's own voice.

Explore voice →

Avatar

A live face on a phone or laptop screen, for the conversations that need one.

Explore the avatar →

Book

Book real time with the person Didymo represents: a Google Meet appointment, made straight from the conversation.

Explore booking →

Open the contact form

The fourth way in ends with a time, not an answer

Chat, voice and the on-screen avatar all finish with a reply. Booking finishes with a Google Meet in the diary of the person Didymo represents.

A row of glowing panels stands in a dark studio, one of them lit brighter than the rest. — Choosing a time from what is free.

Pick a time inside the conversation

No form to fill in and no email thread. The visitor chooses from what is actually free, and the appointment is made where they are already talking.

A woman sits in one of two chairs beside a low table in a dark studio, the second chair empty and glowing panels behind her. — A meeting with one seat still empty.

The seat is the professional's, not the twin's

The meeting is with the person, and Didymo has already carried the context to it, so the conversation starts where the visitor left it rather than at the beginning.

Two colleagues review material on tablet and screen at a shared desk, checking what the twin is allowed to draw on. — Reviewing what Didymo is allowed to draw on.

Approved knowledge

Only what the organisation has approved.

Didymo's answers are drawn from the organisation's own approved material, not general knowledge picked up from the open internet. The professional decides what goes in, and what stays out.

A reviewer watches an AI conversation with the approval controls in view. — Reviewing and correcting an answer.

Human oversight

A person stays over every answer.

The owner reviews what Didymo has said, corrects an answer when it needs correcting, and keeps the approved-source list as the boundary of what the twin may say.

A woman gestures toward an open doorway where a colleague waits, the moment a visitor moves from the twin to the real person. — Handing the conversation to a person.

Human handoff

Hands off when a conversation needs it.

Didymo is built to extend a professional's reach, not replace their judgement. When a question needs a person, the conversation moves to them, with the context already in place.

Whichever way in, the same twin

A visitor picks the way that suits the moment. What sits behind the answer, the approved material and the boundaries around it, does not change with the choice.

A woman stands in a dark studio beside a rising stack of blank message panels, mid-sentence. — Starting the conversation in writing.

A man stands in a dark studio with a stack of message panels on one side of him and a ribbon of sound on the other. — The same twin, typed or spoken.

A woman stands at full height on a pool of light in a dark studio, a visitor watching her in silhouette from the foreground. — Meeting the twin face to face.

The same question, asked again and again

A visitor's first message, a harder one later, and the moment an owner checks a new answer before it goes live.

A visitor greets a generic digital silhouette. — A visitor's first message to the twin.

A practitioner rehearses a conversation beside a facilitator. — A harder question, escalated for review.

A tester asks the AI a question. — Testing a new answer before it goes live.

A professional arranges boundary rings on a workbench. — Arranging the material the twin may use.

Keeping it current

The knowledge behind the twin.

An owner adds and removes source material as it changes, and Didymo answers from whatever is approved today, not a fixed set from the day it launched.

A luminous pale-blue wireframe and point-cloud portrait of a woman, head and shoulders, against a deep dark background, the digital scaffold behind an AI twin.

Before the skin, the mesh

What sits behind the face

Before a twin has a likeness, it has structure: approved knowledge, boundaries, and the character built around them.

Face to face with Didymo

The visitor sees a face on a screen. Behind it is the structure and the knowledge that make the conversation possible.

A wireframe head and shoulders form beside a seated woman, a twin taking shape above a table of knowledge objects. — A twin takes shape above its knowledge.

A manager, on screen, mid-conversation.

"AI plays a crucial role here as well, especially now, helping to script and gamify scenarios that provide a more realistic experience. It enables us to craft narratives that adapt in real-time, making the experience progressively more challenging and thus more effective."

Simon Lowe, PTR's CEO. Simon Lowe
CEO, People Tech Revolution, on AI inside PTR's scenarios. The Cusp of a Revolution, Global Best Practice Group, October 2024