AI for Personalization

That Delivers Assured Outcomes at Scale,

That Delivers Assured Outcomes at Scale,

Starting with Learning

Starting with Learning

Gooru licenses MAP technology, the only AI platform that models humans as complex systems and generates mathematically certain pathways from current state to desired outcomes across any domain.

Gooru licenses MAP technology, the only AI platform that models humans as complex systems and generates mathematically certain pathways from current state to desired outcomes across any domain.

License MAP Technology

License MAP Technology

Request a Demo

Request a Demo

Why Personalization Is a Complex Systems Problem

Learning outcomes emerge from coordinated alignment across knowledge, mindsets, interests, abilities, and community. LLMs are powerful and MAP uses them, but episodic “next-step” recommendations fail to capture the latent human system beneath observable behavior.

Why outcomes are complex

Proficiency does not emerge from optimizing a single variable. Breakthroughs happen when multiple dimensions align simultaneously. Knowledge must align with mindset, interests must support ability-building, and community must sustain progress.

Why outcomes are complex

Proficiency does not emerge from optimizing a single variable. Breakthroughs happen when multiple dimensions align simultaneously. Knowledge must align with mindset, interests must support ability-building, and community must sustain progress.

Why outcomes are complex

Proficiency does not emerge from optimizing a single variable. Breakthroughs happen when multiple dimensions align simultaneously. Knowledge must align with mindset, interests must support ability-building, and community must sustain progress.

Why this problem exists beyond learning

Why this problem exists beyond learning

Why this problem exists beyond learning

Why LLM-based personalization falls short

Why LLM-based personalization falls short

Why LLM-based personalization falls short

Observable → Latent States

Infer hidden beliefs and states from activity streams.

Observable → Latent States

Infer hidden beliefs and states from activity streams.

Observable → Latent States

Infer hidden beliefs and states from activity streams.

Beliefs → Coordinated Pathways

Use formal reasoning to generate valid paths to outcomes.

Beliefs → Coordinated Pathways

Use formal reasoning to generate valid paths to outcomes.

Beliefs → Coordinated Pathways

Use formal reasoning to generate valid paths to outcomes.

Episodes → Outcome Orchestration

Coordinate full sequences, not isolated actions.

Episodes → Outcome Orchestration

Coordinate full sequences, not isolated actions.

Episodes → Outcome Orchestration

Coordinate full sequences, not isolated actions.

MAP was built to operationalize this model at scale.

MAP was built to operationalize this model at scale.

How MAP Solves the Personalization Problem

How MAP Solves the Personalization Problem

MAP uses hybrid algebraic-statistical AI to build belief systems about complete individuals, then applies formal reasoning to generate pathways with mathematical guarantees of validity and personalization. 

MAP uses hybrid algebraic-statistical AI to build belief systems about complete individuals, then applies formal reasoning to generate pathways with mathematical guarantees of validity and personalization. 

Digitizing the Human System

MAP represents individuals across five interacting facets: Knowledge, Mindsets, Interests, Abilities, and Community. Together, these form a belief system that reflects the full human context behind observable behavior.

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Digitizing the Human System

MAP represents individuals across five interacting facets: Knowledge, Mindsets, Interests, Abilities, and Community. Together, these form a belief system that reflects the full human context behind observable behavior.

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Belief Systems

From continuous activity streams, MAP infers probabilistic beliefs about latent human states. These belief systems update dynamically as individuals engage and evolve.

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Belief Systems

From continuous activity streams, MAP infers probabilistic beliefs about latent human states. These belief systems update dynamically as individuals engage and evolve.

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Pathway Generation

MAP applies formal algebraic reasoning to belief systems to generate valid pathways, while statistical models personalize sequences based on learned patterns and real-time engagement.

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Pathway Generation

MAP applies formal algebraic reasoning to belief systems to generate valid pathways, while statistical models personalize sequences based on learned patterns and real-time engagement.

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GPS for Learning: MAP’s Proven Application

GPS for Learning: MAP’s Proven Application

GPS for Learning is MAP’s proven application that generates mathematically certain pathways and adapts in real time as the learner progresses. It guides each person from what they know to what they need to learn next, like navigation through complex networks.  MAP is delivered through licensees and deployed across institutions and learning products, with outcomes measured in real implementations. 

GPS for Learning is MAP’s proven application that generates mathematically certain pathways and adapts in real time as the learner progresses. It guides each person from what they know to what they need to learn next, like navigation through complex networks.  MAP is delivered through licensees and deployed across institutions and learning products, with outcomes measured in real implementations. 

B2B eLearning Platforms Serving Institutions

Navigator Labs, Global Education, Blueprint, Metamorphix, Ubongo, TN Mental Health, and Lernern license MAP to deliver personalized learning to their institutional customers—schools, universities, nonprofits, and government agencies.

View Navigator Labs GPS for Learning

View Navigator Labs GPS for Learning

Institutional Impact Through Our Licensees:

Arizona State University

Personalized pathways for student success

Arizona State University

Personalized pathways for student success

Arizona State University

Personalized pathways for student success

Golden Gate University

Adaptive degree program navigation

Golden Gate University

Adaptive degree program navigation

Golden Gate University

Adaptive degree program navigation

Government of Barbados

Nationwide skills development

Government of Barbados

Nationwide skills development

Government of Barbados

Nationwide skills development

Lammersville USD

2.8x math learning acceleration

Lammersville USD

2.8x math learning acceleration

Lammersville USD

2.8x math learning acceleration

Tennessee Mental Health

: 85% certification completion

Tennessee Mental Health

: 85% certification completion

Tennessee Mental Health

: 85% certification completion

25+ additional institutions across US, India, Middle East, Africa

25+ additional institutions across US, India, Middle East, Africa

25+ additional institutions across US, India, Middle East, Africa

Corporate Training & Professional Development

Our licensees serve corporate customers requiring skills development, technical training, and professional certification with measurable productivity gains.

Explore Coporate Applications

Explore Coporate Applications

Corporate Impact Through Our Licensees:

28% productivity improvement (GPF)

28% productivity improvement (GPF)

28% productivity improvement (GPF)

Consistent manufacturing outcomes (Rincell)

Consistent manufacturing outcomes (Rincell)

Consistent manufacturing outcomes (Rincell)

Enhanced technical skills (iQuasar)

Enhanced technical skills (iQuasar)

Enhanced technical skills (iQuasar)

B2B eLearning Platforms (Institutional customers)

White-label and extend proven AI-powered personalization for institutions, integrating into existing systems

B2B eLearning Platforms (Institutional customers)

White-label and extend proven AI-powered personalization for institutions, integrating into existing systems

B2B eLearning Platforms (Institutional customers)

White-label and extend proven AI-powered personalization for institutions, integrating into existing systems

Corporate Training & Professional Development

Use MAP-powered pathways to improve skill and certification outcomes with personalization that adapts to each learner’s progress.

Corporate Training & Professional Development

Use MAP-powered pathways to improve skill and certification outcomes with personalization that adapts to each learner’s progress.

Corporate Training & Professional Development

Use MAP-powered pathways to improve skill and certification outcomes with personalization that adapts to each learner’s progress.

EdTech Providers / Product Teams

Embed GPS-for-Learning style pathways into your product via licensing, configuration, and extension.

EdTech Providers / Product Teams

Embed GPS-for-Learning style pathways into your product via licensing, configuration, and extension.

EdTech Providers / Product Teams

Embed GPS-for-Learning style pathways into your product via licensing, configuration, and extension.

How It Works?

 Five Components That Power True Personalization

System Architecture

01

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Aggregate Activity Stream Data

MAP ingests all available data about individuals and their context—assessments, learning activities, content interactions, performance metrics, demographic information, and behavioral patterns. This comprehensive data aggregation enables true N=1 personalization.

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Build Personalized Belief Systems

The Personalized Belief System (PBS) extracts latent psychological states from observable activity data through pattern-based and comparative inference. It represents each person's current state across five facets as polylines encoding probability distributions and complex relationships.

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03

Curate Unlimited Resources

 MAP maintains a comprehensive resource store where every learning activity, content piece, assessment, and intervention is represented as polylines with rich metadata. AI generation enables R=infinity resources—unlimited, contextually appropriate activities matched precisely to individual needs.

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Generate Mathematically Certain Pathways

MyGooru Pathways Transformer (MPT) uses hybrid algebraic-statistical reasoning: the algebraic layer computes valid competency sequences with mathematical guarantees, while the statistical layer populates these sequences with personalized activities through vector database retrieval and fine-tuned transformer generation.

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Integrate Human Wisdom with AI

MAP coordinates AI-generated pathways with human stakeholder expertise—instructors provide interventions, mentors offer guidance, leaders monitor progress, content designers contribute resources. This integration creates emergent solutions uniquely suited to each individual.

What this Enables

Content Ingestion API

Upload proprietary content, assessments, and learning activities with automatic polyline representation and indexing

Content Ingestion API

Upload proprietary content, assessments, and learning activities with automatic polyline representation and indexing

Content Ingestion API

Upload proprietary content, assessments, and learning activities with automatic polyline representation and indexing

Pathway Generation API

Request personalized learning sequences for any user based on current state and desired goals

Pathway Generation API

Request personalized learning sequences for any user based on current state and desired goals

Pathway Generation API

Request personalized learning sequences for any user based on current state and desired goals

Real-time Adaptation

Continuous pathway adjustment based on user responses and progress

Real-time Adaptation

Continuous pathway adjustment based on user responses and progress

Real-time Adaptation

Continuous pathway adjustment based on user responses and progress

Stakeholder Insights

Analytics for instructors, leaders, mentors showing knowledge gaps, strengths, and intervention opportunities

Stakeholder Insights

Analytics for instructors, leaders, mentors showing knowledge gaps, strengths, and intervention opportunities

Stakeholder Insights

Analytics for instructors, leaders, mentors showing knowledge gaps, strengths, and intervention opportunities

What Makes MAP Different from Generic AI

What Makes MAP Different from Generic AI

Most AI systems generate plausible recommendations. MAP generates valid pathways with assured outcomes. 

Most AI systems generate plausible recommendations. MAP generates valid pathways with assured outcomes. 

Other AI Approaches

Generic Recommendations

Most systems suggest the “next best” action based on surface behavior, without understanding the deeper state of the individual.

Generic Recommendations

Most systems suggest the “next best” action based on surface behavior, without understanding the deeper state of the individual.

Episodic Personalization

Personalization happens moment by moment, not as a coordinated journey toward a defined outcome.

Episodic Personalization

Personalization happens moment by moment, not as a coordinated journey toward a defined outcome.

Statistical Guesswork

Decisions are driven by correlation and probability, with no guarantees of validity or progression.

Statistical Guesswork

Decisions are driven by correlation and probability, with no guarantees of validity or progression.

Opaque Decisions

Recommendations are difficult to explain, audit, or justify to stakeholders.

Opaque Decisions

Recommendations are difficult to explain, audit, or justify to stakeholders.

With MAP

Mathematically Certain Pathways

MAP generates complete pathways from current state to desired outcomes using formal reasoning, not guesswork.

Mathematically Certain Pathways

MAP generates complete pathways from current state to desired outcomes using formal reasoning, not guesswork.

Coordinated, End-to-End Journeys

Progress is guided through structured sequences that align knowledge, mindset, interests, abilities, and support over time.

Coordinated, End-to-End Journeys

Progress is guided through structured sequences that align knowledge, mindset, interests, abilities, and support over time.

Assured Outcomes at Scale

Hybrid algebraic-statistical AI ensures pathways are both valid and personalized, even across large, diverse populations.

Assured Outcomes at Scale

Hybrid algebraic-statistical AI ensures pathways are both valid and personalized, even across large, diverse populations.

Transparent & Auditable Logic

Every pathway decision can be explained and validated, enabling trust, accountability, and enterprise adoption.

Transparent & Auditable Logic

Every pathway decision can be explained and validated, enabling trust, accountability, and enterprise adoption.

This is why MAP has been successfully deployed across institutions, platforms, and corporate training environments.

Proven results in real deployments

Personalization that delivers measurable outcomes

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Institutions served

Across K-12, higher education, and workforce learning

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Institutions served

Across K-12, higher education, and workforce learning

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Institutions served

Across K-12, higher education, and workforce learning

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Learners supported

At individual, team, and organizational scale

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Learners supported

At individual, team, and organizational scale

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Learners supported

At individual, team, and organizational scale

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Outcome improvement

Consistently observed across deployments

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Outcome improvement

Consistently observed across deployments

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Outcome improvement

Consistently observed across deployments

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Faster learning progress

Measured acceleration in institutional pilots

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Faster learning progress

Measured acceleration in institutional pilots

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Faster learning progress

Measured acceleration in institutional pilots

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Completion rates

In certification and professional training programs

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Completion rates

In certification and professional training programs

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Completion rates

In certification and professional training programs

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Revenue Growth

For platforms embedding MAP-powered personalization

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Revenue Growth

For platforms embedding MAP-powered personalization

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Revenue Growth

For platforms embedding MAP-powered personalization

Who This Matter For?

B2B Platforms

Differentiate your product with assured personalization that scales across institutions and customers.

B2B Platforms

Differentiate your product with assured personalization that scales across institutions and customers.

Corporate & Workforce Training

Improve skill acquisition, certification completion, and productivity with coordinated learning pathways.

Corporate & Workforce Training

Improve skill acquisition, certification completion, and productivity with coordinated learning pathways.

Enterprise & Public Sector

Deploy explainable, auditable AI that stakeholders can trust.

Enterprise & Public Sector

Deploy explainable, auditable AI that stakeholders can trust.

License MAP

Two APIs that power personalized experiences

MAP is licensed as a platform and integrates into your product or training system through two APIs. Deploy in weeks, not years.

Content Ingestion API

Ingest and enrich your proprietary content and activities.

  • Competency alignment + prerequisite mapping

  • Metadata enrichment + indexing

  • Quality scoring + efficacy tracking

Pathway Generation API

Generate personalized pathways for any user based on:

  • Current state (skyline) across five facets

  • Desired outcomes (hi-line)

  • Available resources

  • Real-time performance + engagement signals

What You Get

Proven Infrastructure

14 years of research, $35M in funding, validated across 110 projects

Proven Infrastructure

14 years of research, $35M in funding, validated across 110 projects

Proven Infrastructure

14 years of research, $35M in funding, validated across 110 projects

Rapid Deployment

2-12 week integration with comprehensive developer documentation

Rapid Deployment

2-12 week integration with comprehensive developer documentation

Rapid Deployment

2-12 week integration with comprehensive developer documentation

Mathematical Guarantees

Every pathway proven valid through algebraic operations

Mathematical Guarantees

Every pathway proven valid through algebraic operations

Mathematical Guarantees

Every pathway proven valid through algebraic operations

Unlimited Personalization

AI-generated activities provide R=infinity resources

Unlimited Personalization

AI-generated activities provide R=infinity resources

Unlimited Personalization

AI-generated activities provide R=infinity resources

Continuous Improvement

MAP learns from your users' activity data to refine recommendations

Continuous Improvement

MAP learns from your users' activity data to refine recommendations

Continuous Improvement

MAP learns from your users' activity data to refine recommendations

Pricing

API Consumption

$5K for first 100K calls, $0.03/call thereafter

API Consumption

$5K for first 100K calls, $0.03/call thereafter

User-Based

Starting at $25/user/month

User-Based

Starting at $25/user/month

Zero commitment entry

Pay only for what you use

Zero commitment entry

Pay only for what you use

Who Should License MAP

eLearning platforms seeking to differentiate through personalization

eLearning platforms seeking to differentiate through personalization

Content platforms wanting to increase engagement and retention

Content platforms wanting to increase engagement and retention

Training providers needing to guarantee skill development outcomes

Training providers needing to guarantee skill development outcomes

Any application guiding humans toward complex goals

Any application guiding humans toward complex goals

MAP Applies Wherever Humans Navigate Complex Development

MAP Applies Wherever Humans Navigate Complex Development

MAP isn’t limited to learning. It applies to any domain where outcomes depend on multiple interacting human factors and progress requires coordinated pathways, not isolated recommendations. 

MAP isn’t limited to learning. It applies to any domain where outcomes depend on multiple interacting human factors and progress requires coordinated pathways, not isolated recommendations. 

Learning (Current, proven)

MAP’s current large-scale deployment is learning: personalized pathways that adapt in real time and improve outcomes across institutions, platforms, and workforce learning programs.

Learning (Current, proven)

MAP’s current large-scale deployment is learning: personalized pathways that adapt in real time and improve outcomes across institutions, platforms, and workforce learning programs.

Learning (Current, proven)

MAP’s current large-scale deployment is learning: personalized pathways that adapt in real time and improve outcomes across institutions, platforms, and workforce learning programs.

Marketing (Emerging)

MAP can model customers as complex systems (preferences, readiness, context, engagement patterns, social influence) and generate pathways that coordinate discovery with purchase readiness, instead of optimizing single-touch recommendations.

Marketing (Emerging)

MAP can model customers as complex systems (preferences, readiness, context, engagement patterns, social influence) and generate pathways that coordinate discovery with purchase readiness, instead of optimizing single-touch recommendations.

Marketing (Emerging)

MAP can model customers as complex systems (preferences, readiness, context, engagement patterns, social influence) and generate pathways that coordinate discovery with purchase readiness, instead of optimizing single-touch recommendations.

Health & Wellbeing (Emerging)

MAP can adapt pathways to changing conditions (medical, psychological, lifestyle, support systems) and coordinate interventions over time, instead of delivering generic next-step suggestions.

Health & Wellbeing (Emerging)

MAP can adapt pathways to changing conditions (medical, psychological, lifestyle, support systems) and coordinate interventions over time, instead of delivering generic next-step suggestions.

Health & Wellbeing (Emerging)

MAP can adapt pathways to changing conditions (medical, psychological, lifestyle, support systems) and coordinate interventions over time, instead of delivering generic next-step suggestions.

Future applications

MAP is well-suited to domains like career development, financial wellbeing, and other long-horizon human goals where progress depends on prerequisites, motivation, context, and support.

Future applications

MAP is well-suited to domains like career development, financial wellbeing, and other long-horizon human goals where progress depends on prerequisites, motivation, context, and support.

Future applications

MAP is well-suited to domains like career development, financial wellbeing, and other long-horizon human goals where progress depends on prerequisites, motivation, context, and support.

Where MAP fits best

Where MAP fits best

Use MAP when the problem has:

Use MAP when the problem has:

  • multiple interacting dimensions (not one signal)

  • prerequisite dependencies (order matters)

  • N=1 variation (each person differs)

  • need for reliable progress (not “maybe” recommendations)

  • multiple interacting dimensions (not one signal)

  • prerequisite dependencies (order matters)

  • N=1 variation (each person differs)

  • need for reliable progress (not “maybe” recommendations)