
AI that makes sense
We build open neuro-symbolic technologies to analyze vast data landscapes, extract patterns of meaning and shape the future with clarity
Build
your knowledge base
TURN YOUR DATA ASSETS
INTO A REPOSITORY OF
YOUR KNOWLEDGE
Extract information and meanings from your documents
Get a map of your domain knowledge
Easily update your organization's digital memory
Inform
your decisions
FIND NEW CONNECTIONS AND
HIDDEN MEANINGS IN
LARGE VOLUMES OF DATA
Integrate your organization’s knowledge directly into operational workflows
Deliver immediate, traceable answers with transparent AI reasoning and source attribution
Detect tone, semantic nuances, and whatever hides between the lines
Improve
your work
MULTIPLY EFFICIENCY,
UNDERSTANDING AND
PRODUCTIVITY
Develop AI agents that assist you through natural language interactions
Generate assessments, briefs, knowledge maps, and more—on demand
Activate institutional knowledge for your teams, your clients, your audience examples
*Neuro-symbolic Artificial Intelligence
Artificial intelligence has developed through these two currents:
1. Connectionism (Neural networks) – Inspired by the functioning of the brain, they learn from data based on their correlations, without explicitly stating their decision-making criteria.
2. Reasoning (Symbolic AI) – Uses formal logic, rules, and explicit knowledge (ontology) to simulate processes of rational reasoning.
Neuro-symbolic AI combines the best of both worlds, integrating machine learning with explicit knowledge representation. Main advantages:
–Transparency Traceable and verifiable AI's outputs, thanks to accessible logical structures.
–Logical Inferences The system not only recognizes patterns, it is coherent. It applies logic to address new situations.
–Reliability Reduces errors and “hallucinations” (commonly experienced by neural networks) – provides more stable and accurate responses.
–Adaptability Integrates knowledge learned from data with the encoded rules, enabling faster and smarter updated.
–Flexibility The rules can be updated or expanded without resorting to complex programming, human intervention is more direct and intuitive.
