Weaving Safety intoSuperintelligence
Kaapu is an AI Interpretability and alignment company focusing on bringing safety to next generation superintelligence systems.
The Challenge of Superintelligence Safety
As AI systems approach superintelligence, traditional safety approaches become insufficient. We need deep interpretability and alignment mechanisms to ensure these systems remain safe and beneficial.
Behavior Drift
Neural networks can deviate from intended behavior during training and inference, making it difficult to debug and control their decisions.
Black Box Behavior
Complex AI systems become increasingly difficult to interpret, making it hard to understand and control their decisions.
Limited Visibility
Traditional monitoring provides surface-level metrics without deep insights into neural network internals and decision-making processes.
Superintelligence Safety Platform
Two integrated solutions that work together to provide deep interpretability and alignment mechanisms for next-generation AI systems.
Kaapu Vetra
Safety Alignment Engine
Integrated into your training pipeline to monitor neural network behavior and ensure alignment with your custom safety criteria and constraints.
Kaapu Halo
Monitoring & Observability
Deep neural network observability platform that provides real-time insights into model internals, decision-making processes, and behavior patterns.
AI Safety Neural Network
Experience our advanced AI safety monitoring system in action. This interactive visualization shows how safety components are integrated throughout the neural network architecture.
Safety Monitors
Continuous monitoring of AI behavior to detect potential safety violations in real-time.
Alignment Layers
Specialized layers that ensure AI behavior remains aligned with human values and intentions.
Safety Constraints
Built-in constraints that prevent AI systems from taking harmful or unintended actions.
Built for Organization
Kaapu connects Legal, Product Managers, and Engineers together through Kaapu Halo. Legal teams get visibility into model decisions and data for brand and legal risk assessment, Product Managers track use case implementation via AI models, and Engineers validate model performance as requested.
Legal Teams
Get visibility into model decisions and data used for making decisions to assess brand risk and legal risk with comprehensive audit trails.
View Compliance Docs →Product Managers
Track how use cases are implemented via AI models with detailed insights into model performance and business impact metrics.
Business Analytics →Engineering Teams
Validate that models work as requested with deep visibility into neural network behavior and safety alignment during development.
View Developer Docs →Ready to Secure Your AI Future?
Start monitoring, debugging, and aligning your neural networks with deep visibility into model behavior and safety criteria.