Educational AI powered by knowledge graphs and meshes.
Baiq integrates curriculum graphs and language models to personalize learning, generate content and deliver pedagogical diagnosis with rigor and traceability.
- ✓Socratic tutor with verifiable citations
- ✓Automated content creation, activities, assessments, etc.
- ✓Pedagogical diagnosis
- ✓Correction of handwritten exercises, exams, etc.
An AI engine for every educational actor
Publisher
- •Structured content generation
- •Automatic curricular coherence
- •Scalable production aligned with the mesh
Teacher
- •Knowledge-based diagnosis
- •Exam grading and analysis
- •Actionable pedagogical recommendations
Student
- •Personalized path based on real mastery
- •Targeted reinforcement of unconsolidated knowledge
- •Guided learning without repeating mastered content
Institution
- •Global progress analytics
- •Supervision and traceability
- •Governance and cost control
Knowledge graphs: the roadmap that makes AI truly pedagogical
A knowledge mesh is a network of interconnected fundamental knowledge that defines the roadmap a learner must follow. It is not just a tree of cognitive dependencies: it incorporates pedagogical decisions about timing and sequencing.
- ✓Which knowledge is required
- ✓In which order they should be learned
- ✓How they connect to each other
Expanded context for AI
Content generation is supported by the real structure of learning.
Structural diagnosis
Explains why a student isn't progressing and where to intervene.
Editorial coherence
The entire system respects the curricular logic.
A tutor that guides, not that answers
Method
- •Progressive questions
- •Graduated hints
- •Construction of reasoning
Rigor
- •Responses with verifiable citations
- •Contextual retrieval
- •Teacher supervision
Control
- •Input and output filters
- •Conversation logging
- •Institutional traceability
Personalization
- •Does not propose what is already mastered
- •Identifies the pending knowledge
- •Specifically reinforces that point
- •Accompanies back to the goal
Actionable pedagogical diagnosis
If a student cannot reach D and needs A, B, C and E, and masters A, B and E, but fails C, the system identifies C as the critical point.
To consolidate D, it is necessary to reinforce C.
- ✓Recommendations without generative AI (no per-use cost)
- ✓Automatic grading of exercises and exams
- ✓Error pattern analysis
- ✓Tutor supervision with evidence
AI for structured editorial creation
Intelligent tagging
- •Automatic tagging with sequencing
- •The mesh acts as a coherence guardian
- •Curricular inconsistency detection
Activity generation
- •Activities with expanded context
- •Automatic prerequisite compliance
- •Full generation per subject
Assessments
- •Initial based on the mesh
- •Final based on unit contents
- •Massive generation ready for review
Related contesnts
- •Guides
- •Programations
- •Accessibility
AI aligned with educational governance
Compliance and security
- •Automatic moderation
- •Full traceability
- •Privacy and control
Scalability
- •API integration
- •Modular architecture
- •Cost control
Institutional analytics
- •Aggregated progress
- •Gap identification
- •Strategic indicators
Regulatory compliance and data protection in the European Union
Baiq fully complies with the General Data Protection Regulation (GDPR) and the Spanish Organic Law on Data Protection (LOPD-GDD), ensuring data processing based on the principles of transparency, minimization, security and traceability.
We also align our technology with the European AI Regulation (AI Act), ensuring responsible, explainable and controlled use of AI systems in educational environments.
- ✓Data processing in accordance with current European regulations.
- ✓Documented impact assessments and risk analyses.
- ✓Access control and defined retention policies.
- ✓Full traceability in applied AI processes.
We rely on the ongoing advisory of Legal Army (legalarmy.net), a firm specialized in privacy, data protection and technology regulation, acting as our Data Protection Officer (DPO).
Their support guarantees permanent legal supervision, compliance audits and continuous adaptation to European regulations on data protection and artificial intelligence.
For more information about our regulatory compliance framework, contact our team.