The cognitive infrastructure for the longevity era

A living model of how your mind performs.

CogniFit's Digital Cognitive Twin™ learns from brief cognitive activities and patterns over time to personalize what you do next— when to train, how hard, and where to focus.

Brief cognitive activities Optional wearable signals Privacy-first design

Beyond a one-time score

Your cognition changes. Your model should change with it.

A traditional assessment captures a moment. A Digital Cognitive Twin™ is designed to learn from repeated observations, follow your patterns, and evolve as you do.

How it actually works

A closed loop that learns from every session.

The Twin does not make a permanent judgment from one test. It measures, updates, acts, and checks the response—then repeats.

Two cognitive activities connected through an evolving individual model
01

Observe

Brief activities capture how you perform now—not just the answer, but the pattern behind it.

02

Model

Your individual cognitive profile updates as new observations reveal how your mind changes over time.

03

Personalize

The next activity adapts in timing, type, and difficulty to fit your current cognitive needs.

01

First 1–2 weeks

Build your baseline

Brief sessions establish an individual pattern across cognitive skills—not a one-off score.

02

Before each session

Read today’s context

Recent performance and any optional sleep, movement, or self-reported signals add context.

03

While you train

Adapt in real time

The system adjusts activity, challenge, and pacing as your performance unfolds.

04

After every session

Update the Twin

Your response becomes new evidence, refining the model and the next recommendation.

The system architecture

From individual signals to a continuously improving model.

Cognitive performance, user preferences, reference models, and optional contextual data feed a personalized training engine. The response to each activity updates the Digital Cognitive Twin™ and informs what happens next.

Conceptual Digital Cognitive Twin™ architecture showing participant and optional sensor data flowing into personalized cognitive training, ongoing assessment, reporting, and an updating individual model
Conceptual architecture. Data connections, professional workflows, and available features vary by product and use context. The consumer release is not intended to diagnose a medical condition.
The same person shown across morning, work, and evening cognitive states

Context becomes intelligence

Meet the version of you that exists today.

Sleep, stress, movement, time of day, and how you feel can influence cognitive performance. The Twin looks for patterns across everyday moments instead of treating every session as identical.

  • Learns your starting pattern
  • Detects meaningful changes over time
  • Adjusts the next experience in real time
A multidimensional cognitive profile represented as a unique colored landscape

A profile, not a label

Your mind is a landscape—not a single number.

Memory, attention, reasoning, perception, and coordination form an individual pattern of strengths and needs. The Digital Cognitive Twin brings those dimensions together and models how they interact.

MemoryAttentionReasoningPerceptionCoordination

One model. More context when you want it.

Built from signals you can understand and control.

The foundation is your performance in short CogniFit activities. Optional sleep and movement data can add context without becoming a requirement.

Cognitive activity

Accuracy, speed, strategy, and change across sessions.

Optional wearables

Sleep and movement patterns, only when connected.

Session context

How focused, tired, or ready you feel in the moment.

A phone and smartwatch contributing optional signals to a cognitive model
A conceptual portrait combining a person and their evolving digital cognitive model

More than conversation

It doesn't just talk to you. It learns how you perform.

General-purpose AI starts with broad knowledge. Your Digital Cognitive Twin starts with you—your observations, your patterns, and your changes over time.

MeasuresBrief, science-based cognitive activities
RemembersYour longitudinal pattern, not a single session
PredictsWhen your current state may call for a different approach
AdaptsTiming, difficulty, and activity selection

One platform, three paths

Cognitive intelligence for real life.

The same living model can support personal wellbeing, professional insight, and more individual learning experiences.

An older woman using a tablet beside a conceptual reflection of her cognitive twin
Longevity

Stay closer to your best cognitive self.

Build a richer understanding of your changing patterns and support cognitive wellbeing across later life.

A researcher and participant reviewing a layered cognitive model
Healthcare & research

See change—not just snapshots.

Give professionals and researchers a longitudinal view of cognitive performance in context.

A parent and teenager using a cognitive activity together
Family & education

Understand how different minds learn.

Adapt cognitive activities to the individual instead of expecting every learner to follow the same path.

Science & validation

An established evidence base. A new model under active validation.

The Digital Cognitive Twin™ combines CogniFit's studied assessment and training technologies with a new longitudinal modeling layer. We distinguish clearly between what is supported today and what the complete Twin still needs to prove.

210+peer-reviewed studies
18,000+research participants
25+randomized controlled trials
120+universities & research centers

CogniFit research library, September 2026. Study designs, populations, and outcomes differ; evidence should be considered study by study.

Layer 01 · Measure

Validated cognitive assessment technologies

CogniFit assessments have been studied for validity and reliability across populations, age groups, and languages.

Layer 02 · Adapt

Personalized training studied in controlled trials

Randomized trials and clinical research have evaluated adaptive cognitive training across multiple domains and populations.

Layer 03 · Learn

The Digital Cognitive Twin™ is the next validation layer

Current research focuses on whether a longitudinal model can predict cognitive needs and improve the timing and selection of support.

Validation roadmap

What the complete Twin must demonstrate

Prediction

Can it anticipate a person's near-term cognitive state better than a static baseline?

Personalization

Does choosing the right activity, timing, and difficulty improve engagement and outcomes?

Robustness

Does performance remain calibrated across age groups, languages, devices, and changing contexts?

Frontiers in Neuroscience · 2024

The digital twin in neuroscience: from theory to tailored therapy

Open research
The Journal of Neuroscience · 2024

Digital Twins in Neuroscience

Open research
Explore the full CogniFit research library

Private by design

Your cognitive data should work for you—not become the product.

The Digital Cognitive Twin™ is being built around secure data handling, clear controls, and optional connections. CogniFit does not sell personal information.

Privacy controlsWearable connections are always optional.

Questions, answered

The essentials before you begin.

Private release · November 2026

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