Hybrid Intelligence Research Institute

We train, mentor, and transfer technology to quickly develop scalable Hybrid Intelligence solutions powered by artificial intelligence, business psychology, predictive models, data-informed governance, and data-driven communication to enhance productivity processes or goal achievement

Predictive Models developed

Papers analyzed

Professionals instructed in AI, Data Science and NeuroMarketing

The Hybrid Intelligence Research Institute originated from a postgraduate thesis at IE Business School, Madrid in 2023. A beta predictive deep learning model designed to detect neurodegenerative conditions evolved into a robust project dedicated to leveraging the best Artificial Intelligence tools for mental health care.

As of 2025, we provide online educational services in Hybrid Intelligence solutions to over five organizations globally. We aim to establish our European international office and training center by autumn 2026.

Isaías Blanco, founder of the Hybrid Intelligence Research Institute, is genuinely committed to advancing the application of neuropsychology and predictive models in mental health and education support. He recovered from a spinal cord injury and quadriplegia through the use of machine learning techniques that vectorized his pain, allowing him to regain 100% of his movement.

Business trusting HIR.I

Hybrid Intelligence Research Institute

At the Hybrid Intelligence Research Institute, we specialize in advancing the symbiosis of human and artificial intelligence to elevate cognitive and social capabilities.

The mission of HIR.I explore technologies and methods that improve decision-making, problem-solving, creativity, and learning. We strive to empower individuals, educational institutions, and organizations to succeed in an increasingly complex world.

Since our establishment in 2023, we have recognized that human cognition is shaped by social, community, familial, educational, political, and daily interactions. Our Ikigai drives us to harness the potential of artificial intelligence and data processing to improve human cognition in targeted areas while valuing each individual’s uniqueness and distinct perceptions of the world.

We examine how AI-driven tools can practically improve human reasoning, memory, and adaptive thinking by utilizing neuroadaptive systems and providing real-time data insights.

Our team explores collaborative platforms that enable the simultaneous growth of humans and AI, enhancing skill development, knowledge retention, and critical thinking.

HIR.I works with diverse educational sectors, including healthcare, education, and business, to implement strategies that improve mental performance, reduce cognitive load, and foster innovation.

# Data Science Inspired

import numpy as np
import pandas as pd
import scipy
import matplotlib.pyplot as plt
import seaborn as sns
import sklearn
import tensorflow as tf
from keras.models import Sequential
import torch
import lightgbm as lgb
import xgboost as xgb
from catboost import CatBoostClassifier 
from catboost import CatBoostRegressor
import statsmodels.api as sm
import nltk
import spacy
import eli5
import theano
import chainer
import pybrain
import bob

The primary goal of the Hybrid Intelligence Research Institute is to develop a cutting-edge center where data specialists, psychologists, neuropsychologists, neuroscientists, AI researchers, educators, and cognitive specialists will collaborate to enhance human cognition rather than replace it with AI.

We strive to create projects that redefine how humans and machines think together—from AI-enhanced creativity studios to adaptive decision-support systems. We dream of shaping a future where technology elevates, rather than replaces, human intellect

New Data Sources per Semester

Professional network members

AI-Driven Psychology

Selene AI, our Beta model, is built on a combination of Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP) techniques to analyze a broad range of news sources, writing styles, and trending topics.

Selene is being trained to identify subtle patterns, trends and relationships in the data that would be difficult to detect using traditional methods. Her primary goal is to develop a robust Hybrid Intelligence repository and library.

The HIR.I first ML model signifies a significant advancement in media analysis. By harnessing the capabilities of AI and NLP, we can uncover valuable insights to enhance our organizational milestones.

We diligently enhance our budget, resources, and services to provide top-notch Hybrid Intelligence resources to educational institutions, universities, business incubators, entrepreneurs, and freelancers.

What is Hybrid Intelligence?

Hybrid Intelligence, understood as human-AI cognitive Symbiosis, should be conceived as an interdisciplinary field that explores, designs and implements intelligent systems that harmonize artificial intelligence (AI) with human cognitive processes guided by the principles of learning psychology.

How does Hybrid Intelligence works?

Hybrid Intelligence represents a novel and comprehensive approach to understanding and applying the intersection of AI, hybrid intelligence, human cognitive processes, and ethical Hybrid Intelligence Governance. By focusing on the synergy between humans and machines, Hybrid Intelligence aims to enhance productivity, creativity, and well-being while ensuring that technological advancements are aligned with human values and societal needs. This field has the potential to advance both theoretical understanding and practical applications, ultimately contributing to a more harmonious and effective integration of AI into everyday life.

What are Hybrid Intelligence application domains?

Cognitive Modeling: Investigate human cognitive processes to develop models that inform AI design, enhancing alignment with human thinking and decision-making.
Hybrid System Design: Explore methodologies for creating hybrid intelligence systems that effectively integrate human and AI capabilities.
Hybrid Intelligence Governance Frameworks: Develop policies and structures addressing ethical considerations and promoting responsible AI use.
Business Optimization: Implement Hybrid Intelligence principles in business settings to improve workflows, enhance decision-making, and foster innovation.
Healthcare: Explore using Hybrid Intelligence in healthcare to improve patient outcomes, streamline processes, and enhance the quality of care.
Education: Investigate the application of Hybrid Intelligence in educational settings to personalize learning experiences and support educators.

Governance Framework proposed by the Hybrid Intelligence Research Institute

Human Cognitive Processes:

1. 1. An examination of how humans think, learn, and make decisions, drawing from cognitive psychology, neuroscience, and behavioral science to inform the design of AI systems that complement human abilities.
  2. The study of how humans think, learn, and make decisions, incorporating insights from cognitive psychology and neuroscience to inform the design of intelligent systems.

Artificial Intelligence (AI):

1. 1. It is defined as studying and applying algorithms and computational models that enable machines to perform tasks requiring human-like intelligence, such as perception, reasoning, learning, and problem-solving.
  2. The development of computational systems capable of performing tasks that typically require human intelligence, including learning, reasoning, perception, and problem-solving.

Hybrid Intelligence:

1. 1. The collaborative integration of human intelligence and AI fosters creativity and innovation. Both entities leverage their unique strengths to achieve enhanced cognitive outcomes.
  2. The combination of human and machine intelligence, where both entities contribute their unique strengths to achieve superior cognitive outcomes and innovative solutions.

Cognitive-AI Hybrid Intelligence Governance:

1. 1. Establishing ethical frameworks and policies that guide the responsible development and deployment of AI technologies, addressing issues such as bias, accountability, transparency, and societal impact.

Human AI for Business:

1. 1. The application of AI technologies to enhance human roles in business contexts focuses on improving operational efficiency, strategic decision-making, and customer engagement through intelligent systems.

Human-Centered AI:

1. 1. The design and implementation of AI systems that prioritize user experience, accessibility, and psychological well-being ensure that technology serves human needs and enhances quality of life.

Everyday Workflow Optimization:

1. 1. Merging AI into daily tasks and processes to streamline operations, enhance collaboration, and improve productivity across various sectors, including business, healthcare, and education.

Commute Effort and Dual Intelligence:

1. Enhancing collaborative efforts between humans and AI, projecting teamwork and the shared responsibility of achieving common goals through dual intelligence.

Contact us by filling out the following form, and we will get back to you within 1-3 business days with an Education proposal adapted to your needs and strategic goals.

edu [@] hir. institute

Hybrid Intelligence Research Institute

Access to 20+ Science magazine datasets

Human>AI Cognitive Symbiosis

Inspired by Neuropsychology researchs

Green Energy

AI Technology Transference Program