We drive the education of the future with AI solutions that transform teaching and learning, bringing personalisation, efficiency, and accessibility for everyone.
Smart Learning
Recommends content adapted to each student’s language level, analysing their profile and free-text searches to personalise learning and increase engagement. The solution can be extended to multiple languages and all kinds of educational content.
Increase in student satisfaction and retention
More interactions with recommended content
Researchmatch AI
Intelligent search engine that connects researchers at universities, research centres, and other institutions with funding opportunities. It identifies and recommends the most suitable profiles for each project based on your organisation’s capabilities and specialisations, optimising the search and selection process.
It increases the chances of success, boosts participation in research initiatives, and strengthens the institution’s scientific impact.
Time savings
Increased funding success
Virtual Coach
Trains speech and subject mastery in real time, identifies strengths and areas for improvement, and boosts students’ confidence during presentations, lectures, and oral exams.
Reduction in traditional sales training investment
Improvement in adherence to scripts and key messages
Transcription for education
Converts your class audio into text with high accuracy, supporting multiple languages, including co-official languages. It provides students with more tools, makes the learning process easier, and enriches your e-learning platform with accessible, well-organised content.
Savings in Manual Transcription Tasks
Fewer Transcription Errors
Academic summary generation
Generates coherent and concise summaries from educational texts (articles, books, class transcripts, etc.), accurately extracting key information to make learning and understanding easier.
Less Reading and Analysis Time
Faster Informed Decision-Making
IA-Lab
Comprehensive AI platform to manage data, train, and deploy models (vision, predictive analytics, GenAI, etc.) adapted to learning and académic environments, ensuring reliability, traceability, and control.
Enables the development of advanced models with explainability, monitoring, and continuous auditing on scalable on-premise infrastructure, reducing risks and accelerating innovation.
Less time for new model deployment
Local data processing and residency