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ecosistema digital

ECOSISTEMA DIGITAL

Un ecosistema de componentes y servicios que permite a los editores crear rápidamente su solución de aprendizaje de próxima generación.

Engage

ENGAGE

Una plataforma de aprendizaje SAAS lista para implementar. Permite a los editores y creadores de contenido incorporar rápidamente sus libros de texto existentes y otros activos de contenido, y ofrecer una experiencia de aprendizaje de alta fidelidad.

Ai for Publishers

AI PARA EDITORES

Integre potentes funciones en sus flujos de trabajo y funciones existentes, añadiendo inteligencia y eficacia.

Descripción general

DESCRIPCIÓN GENERAL

Hemos estado ideando y creando soluciones tecnológicas desde 1986. Hemos ido evolucionando con la curva tecnológica y ha sido un viaje interesante.

COMPRO FOUNDATION

Estamos comprometidos a hacer de la sociedad en la que vivimos un lugar mejor. La Fundación Compro ayuda a traducir ese compromiso en acción.

Fundación Compro

COMPRO FOUNDATION

Estamos comprometidos a hacer de la sociedad en la que vivimos un lugar mejor. La Fundación Compro ayuda a traducir ese compromiso en acción.

Fundación Compro
Our Commitment to Trust and Transparency_Picture2

Products > AI For Publishers

comproDLS logo

AI FOR PUBLISHERS

Practical and reliable AI built for real learning products.

AI is transforming the entire technology ecosystem. But in education, meaningful progress depends on trust, accuracy, and responsible application - not experimentation.

 

While the buzz around AI is new, Compro engineers and data scientists have been working with intelligent systems and learning data since the 1990s. And in 2016, we deepened that commitment, becoming the sole investor in Tatras Data, a specialist data science firm focused on advanced machine learning.

 

Tatras Data is led by Dr. Sarabjot Singh ,​ whose early work in pattern discovery was adopted by IBM/SPSS for worldwide distribution, and whose research spans 90+ peer-reviewed publications in machine learning and predictive modeling. His team is the engine that turns comproDLS's rich data streams into intelligent, adaptive learning solutions.

 

Together, Compro and Tatras are building personalization directly into the ecosystem, going beyond simple rules-based adaptation to true predictive, continuously-learning models.

Our Commitment to Trust and Transparency_picture

Where AI Creates the Most Impact

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AI-Assisted Content Production

Faster creation. Better consistency. Lower cost.
 

We help publishers speed up repetitive editorial and production tasks while preserving your distinct voice, pedagogy, and quality standards.

AI supports your team by

  • Converting static PDF books into responsive, print-faithful ePubs

  • Generating first drafts of questions, prompts, and variations

  • Suggesting standards alignment and metadata

  • Creating accessibility descriptions and alt text

  • Flagging inconsistencies and quality issues automatically

Personalization, Learning Intelligence and Academic Integrity

Supporting better learning outcomes while protecting fairness.
 

We use AI to uncover what learners need and help products respond naturally.

Capabilities includes

  • Identifying learning gaps by supporting fair and consistent automated scoring

  • Detecting potential misuse of generative AI in assessments

  • Recommendations based on learner patterns

  • Supportive hints and feedback inside activities

  • Difficulty and mastery predictions

Operational Efficiency for Publishers & Institutions

Streamlining the daily work of building and running digital learning products.
 

AI helps reduce operational bottlenecks by automating tasks such as:

Automation includes

  • Tagging and organizing large content repositories

  • Identifying duplicate or outdated assets

  • Summarizing class, school, or district-level performance

  • Generating documentation, release notes, or content briefs

  • Classifying and routing support queries

The AI and Data Science Behind it

Compro's evolution from product-based engineering to a comprehensive learning ecosystem isn't just a technical journey - it reflects a long-term commitment to adaptive learning, with Tatras Data as the key enabler.
 

The foundation: building for adaptive from the start
The comproDLS Learning Stack was designed with adaptive learning in mind. Its big-data architecture and analytics foundation, complete with support for modern standards, was purpose-built for this.
 

This wasn't an afterthought. As early as 2016, Gartner recognized comproDLS for its readiness for the "algorithmic education evolution," specifically calling out its analytics, assessment, and adaptive capabilities.

Tatras: Compro's adaptive learning accelerator

To operationalize this vision, Compro made a pivotal investment decision. In 2016, Compro became the sole investor in Tatras Data, a data science consulting and implementation firm specializing in advanced machine learning.

 

Tatras is led by Dr. Sarabjot Singh, whose early work in pattern discovery was adopted by IBM/SPSS for worldwide distribution, and whose research spans 90+ peer-reviewed publications in machine learning and predictive modeling.

 

Tatras is the specialized partner that turns comproDLS's rich data streams into intelligent, adaptive learning solutions. Together, we are building personalization directly into the ecosystem, going beyond simple rules-based adaptation to true predictive, continuously-learning models.

 

How this plays out in practice

The partnership means comproDLS clients get access to adaptive capabilities that are:

  • Data-rich: leveraging real learner data (progress, time-on-task, submissions, engagement) from the Learning Stack

  • Interoperable: working across different LMSs and experience apps, not locked to a single interface

  • Production-ready: moving from research prototypes to scalable implementations that publishers and schools can deploy

 

Compro isn't just building learning solutions. Through Tatras, we're creating the adaptive intelligence layer that sits on top of the Learning Stack, making personalization a first-class capability rather than a bolted-on feature.

comproDLS™ Learning Stack

Supports analytics, mastery insights, personalization, and data-driven decision-making.

comproDLS™ Builder

Enables AI-assisted authoring, tagging, QA workflows, and metadata generation.

Experience Apps

Surface AI-powered journeys that benefit learners and educators.

Powered by comproDLS™ Digital Ecosystem

Our AI capabilities extend the platforms you already rely on, so new intelligence fits cleanly into your existing architecture.
 

This ensures consistency, interoperability, and the ability to scale without re-engineering your product.

Why Compro?

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Deep EdTech expertise

We bring decades of experience working with global publishers on complex learning ecosystems.

Decades of AI and Data Expertise

AI may be new to the spotlight, but we have been working with intelligent systems and learning data since the 1990s. Our investment in Tatras Data adds a specialist team with deep expertise in AI, machine learning, and data science.

Responsible, reliable AI

Designed with accuracy, transparency, and learner safety at the core.

End-to-end delivery

Advisory → prototyping → engineering → deployment → ongoing optimization.

Flexible engagement

From focused solutions to embedded teams tailored to your product roadmap.

Built for longevity

Every AI capability we deploy is designed to scale and evolve with your needs.

Nuestro compromiso con la confianza y la transparencia

Los datos y las capas de presentación están separados en comproDLS™ Digital Ecosystem. Como consecuencia, las experiencias de los usuarios y las interfaces se pueden crear a medida con facilidad.

Esto permite acceder a extensas bibliotecas de contenido y aprovecharlas para crear experiencias de usuario únicas. El contenido puede reutilizarse y reestructurarse según sea necesario.

La experiencia y la interfaz del usuario requieren cambios frecuentes a medida que evolucionan las expectativas. También cambian ya que el medio digital permite la experimentación. La arquitectura subyacente de las Experience Apps permite incorporar esta rápida evolución con facilidad.

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