Personalization for consumer apps

Your app, tailored to each person.

We add a memory and personality layer to your app. Matches, learning paths and support adapt to each user’s goals, preferences and experience.

Create a wow effect through better experiences, improve user satisfaction and grow ARPU.

A persona / six connected domains
A digital persona exchanging information with its six domains A red indicator moves around the central circle. Biography, experiences, preferences, relationships, work and personality blink in turn. A filled signal travels into the persona and a hollow signal travels back out. The 24-second cycle repeats continuously; the diagram and its labels remain still. Digitalpersona BiographyExperiencesPreferencesRelationshipsWorkPersonality
01
Dating & social

See how two lives might fit.

Build detailed personas from conversations, life history and established psychometric frameworks. Match on values, communication and relationship patterns, with clear reasons behind each introduction.

Two lives, three kinds of compatibilityTwo distinct personal models exchange signals through values, communication and life context, one connection at a time. The fixed diagram repeats in a seamless twelve-second cycle.ABPerson APerson BValuesCommunicationLife context
02
Coaching & digital learning

A learning path that keeps up.

Build digital counterparts of the learner and teacher. Adapt the learning track, pace and explanations to the learner’s knowledge and progress, while keeping the teacher’s expertise and style.

Two illustrative learning trajectoriesLearner and teacher models inform a personalized learning trajectory. A dashed standard trajectory rises steadily while a solid personalized trajectory accelerates exponentially. Both are illustrative, with no numerical performance claim. Two points advance over the same learning time, then feedback returns to the learner model. The horizontal diagram repeats in a seamless fifteen-second cycle.LearnerTeacherProgressPersonalizedStandardIllustrative trajectoriesTime
03
Wellbeing & psychology

Bring years of context into session one.

With the patient’s permission, build a detailed persona from years of journals, conversations and session notes. Support therapist-led, AI-assisted therapy with a history that stays linked to the original records.

A patient persona that stays connected to its sourcesJournals, conversations and session notes contribute to a patient persona. An incoming signal connects each record to the persona, then a return signal traces the connection back to its source for review. The fixed diagram repeats in a seamless fifteen-second cycle.JournalsConversationsSession notesPatientpersonaTherapist review
04
Other verticals

Other ways to make it personal.

  • Personal assistants
  • Content discovery
  • Travel & lifestyle
  • Family history & legacy
The pilot

Built into your product.

We work with your team on the data, persona model and integration. Begin with one use case, one group of users and a result you can measure.

Hosted onboarding  ·  API / MCP integration  ·  Custom implementation

People choose what to share. Your app gets the personal context they permit.
  1. 01

    Choose one experience

    Define the use case, source material and user permissions.

  2. 02

    Build the personas

    Connect records, interviews and conversations to the experience inside your app.

  3. 03

    Try it with users

    Agree what to measure, run the pilot and review the result together.

Make one experience more personal.

Tell us what you’re building and who it’s for. We’ll shape a focused pilot with your team.