Digital Personas at Scale

Creating authentic digital personas for marketing, testing, and automation using AI technology and extensive data.

About persona.sl

Creating what feels like digital doubles of real people

persona.sl is a revolutionary system that creates personas for marketing, testing, automation, or other systems where real people are needed at scale, but would be cost prohibitive to implement.

Our technology uses artificial intelligence paired with extensive data to create what feels like digital doubles of real people. These personas have realistic backgrounds, preferences, behaviours, and decision-making patterns that mimic real human users.

Unlike traditional personas that are generalised archetypes, persona.sl creates specific, detailed, and differentiated digital individuals that can interact with your systems in a human-like manner.

How persona.sl Works

Advanced AI technology meets extensive data

Data Collection

We aggregate vast amounts of anonymised behavioural data across demographics, interests, and decision patterns.

AI Modelling

Our advanced AI models learn patterns and create realistic persona profiles with consistent behaviours.

Persona Creation

Complete digital personas are generated with backgrounds, preferences, and decision-making patterns.

System Integration

Personas integrate with your systems to provide realistic interactions and valuable insights.

Use Cases

How businesses leverage persona.sl

Marketing Testing

Test marketing campaigns with digital personas that accurately represent your target audience segments.

Product Testing

Validate product concepts and features with diverse persona types before full development.

Automation Training

Train AI and automation systems with realistic user behaviours and interaction patterns.

User Experience Research

Gain insights into user preferences and behaviours across diverse persona types.

Academic Research

From foundational personality psychology to cutting-edge AI persona generation

persona.sl is built on decades of academic research and many years of commercial applications, drawing from multiple disciplines including psychology, AI, and human-computer interaction.

Traits and Dispositions

"Personality: A Psychological Interpretation" (1937)

Allport, Gordon W.

Allport's seminal work defined personality as "the dynamic organisation within the individual of those psychophysical systems that determine his characteristic behaviour and thought." He identified over 4,000 trait terms, laying the groundwork for modern personality trait theory.

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Personality Structure

"The structure of phenotypic personality traits" (1994)

Goldberg, L. R.

This landmark paper consolidated decades of research on the "Big Five" personality dimensions, demonstrating the robustness of this model across cultures, languages, and assessment methods.

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Situational Determinants

"Toward an interactional psychology of personality" (1973)

Endler, N. S., & Magnusson, D.

This influential paper argued that behaviour is determined by a continuous interaction between individuals and the situations they encounter, challenging purely trait-based approaches.

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Personality Assessment

"The development of markers for the Big-Five factor structure" (1992)

Goldberg, L. R.

This paper established robust measurement instruments for the Big Five traits, enabling more reliable and valid personality assessment in both research and applied contexts.

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OCEAN (Big Five)

Our personas incorporate the scientifically validated Big Five personality traits:

  • Openness to experience
  • Conscientiousness
  • Extraversion
  • Agreeableness
  • Neuroticism

This model, supported by decades of research, allows our personas to exhibit consistent personality traits across different scenarios.

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HEXACO Personality Framework

We extend beyond the Big Five by incorporating the HEXACO model, which adds the critical dimension of Honesty-Humility:

  • Honesty-Humility
  • Emotionality
  • eXtraversion
  • Agreeableness
  • Conscientiousness
  • Openness to Experience

This enhanced framework allows for more nuanced modelling of ethical decision-making tendencies in our digital personas.

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Visual Perception in AI Personas

"Picturing the fictitious person: An exploratory study on the effect of images on user perceptions of AI-generated personas" (2024)

Salminen, J., Santos, J. M., Jung, S., & Jansen, B. J.

This study examines how visual representations affect user perceptions of AI-generated personas, providing insights into creating more effective and relatable digital personas.

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LLM-Generated Persona Composition

"Deus ex machina and personas from large language models: investigating the composition of AI-generated persona descriptions" (2024)

Salminen, J., Liu, C., Pian, W., Chi, E., & Häyhänen, E.

This research explores how large language models create persona descriptions, identifying patterns and characteristics that contribute to effective digital persona creation.

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Stanford Digital Persona Research

"Generative Agent Simulations of 1,000 People" (2024)

Horton, J. J., Joshi, N. P., Rajakumar, N., Tambe, P., Zhou, J., Landay, J. A., Manning, C. D., & Leskovec, J.

This groundbreaking Stanford University research presents a novel agent architecture that simulates the attitudes and behaviours of over 1,000 real individuals using large language models to generate detailed personas for population-scale simulations.

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Human-AI Collaborative Persona Generation

"Understanding human-AI workflows for generating personas" (2024)

Shin, J., Hedderich, M. A., Rey, B. J., & Lucero, A.

This paper investigates how human researchers and AI systems can collaborate effectively to create more useful and realistic personas for user research and design.

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Text-Generative AI in UX Design

"Exploring the use of text-generative AI in persona creation and the user-centered design process" (2023)

Goel, T.

This research examines how generative AI tools can enhance the persona creation process within user-centered design, improving both efficiency and quality of digital personas.

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Personality and Impulsive Buying

"Impulsive Buying Tendencies and Personality: Cognitive and Affective Aspects" (2024)

Qureshi, F. H., Sokić, K., & Khawaja, S.

This study explores the relationship between HEXACO personality traits and impulsive buying tendencies, finding that Honesty-Humility and Conscientiousness negatively correlate with impulsive buying, while Emotionality and Extraversion positively predict such behaviors.

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Our system combines established psychological frameworks with cutting-edge large language models (LLMs) to generate personas with:

  • Consistent yet nuanced behavioural patterns
  • Contextually appropriate decision-making
  • Realistic preference structures
  • Natural language expression patterns

This integration of psychological models with modern AI technology creates digital personas that maintain coherent identities while exhibiting the complexity and occasional unpredictability of real human behaviour.

Our approach represents the culmination of years of commercial application and research across multiple disciplines, continuously refined through practical implementation and results.

See persona.sl in Action

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