Observe
Brief activities capture how you perform now—not just the answer, but the pattern behind it.
The cognitive infrastructure for the longevity era
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.
Beyond a one-time score
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
The Twin does not make a permanent judgment from one test. It measures, updates, acts, and checks the response—then repeats.

Brief activities capture how you perform now—not just the answer, but the pattern behind it.
Your individual cognitive profile updates as new observations reveal how your mind changes over time.
The next activity adapts in timing, type, and difficulty to fit your current cognitive needs.
The system architecture
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.


Context becomes intelligence
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.

A profile, not a label
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.
One model. More context when you want it.
The foundation is your performance in short CogniFit activities. Optional sleep and movement data can add context without becoming a requirement.
Accuracy, speed, strategy, and change across sessions.
Sleep and movement patterns, only when connected.
How focused, tired, or ready you feel in the moment.


More than conversation
General-purpose AI starts with broad knowledge. Your Digital Cognitive Twin starts with you—your observations, your patterns, and your changes over time.
One platform, three paths
The same living model can support personal wellbeing, professional insight, and more individual learning experiences.

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

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

Adapt cognitive activities to the individual instead of expecting every learner to follow the same path.
Science & 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.
CogniFit research library, September 2026. Study designs, populations, and outcomes differ; evidence should be considered study by study.
CogniFit assessments have been studied for validity and reliability across populations, age groups, and languages.
Randomized trials and clinical research have evaluated adaptive cognitive training across multiple domains and populations.
Current research focuses on whether a longitudinal model can predict cognitive needs and improve the timing and selection of support.
Can it anticipate a person's near-term cognitive state better than a static baseline?
Does choosing the right activity, timing, and difficulty improve engagement and outcomes?
Does performance remain calibrated across age groups, languages, devices, and changing contexts?
P. Murali Doraiswamy, Jon Andoni Duñabeitia, Carlos Rodriguez, and D. P. Devanand
Read the paperPrivate by design
The Digital Cognitive Twin™ is being built around secure data handling, clear controls, and optional connections. CogniFit does not sell personal information.
Questions, answered
Private release · November 2026
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