Making AI Think
Humans squint when we are not sure. AI can squint too.
Context awareness
Cognitive intelligence
limitations Awareness
Autonomous Intelligence
Squint Cognition develops cognitive AI systems designed to make AI think - bridging the gap between human reasoning and machine intelligence.
01.
Moving from explainability to cognitive awareness
Squint Cognition embeds self-awareness within AI, helping it identify its own limitations and adjust its decision-making dynamically.
Traditional explainability solutions help humans understand AI models, while Squint Cognition enables AI to understand itself.
02.
Real-Time Decision Optimization Instead of Static Reporting
Squint Cognition operates in real-time by analyzing decision-making as it happens - adjusting and optimizing AI decisions automatically.
AI is dynamic, and issues arise in milliseconds. Squint Cognition provides real-time self-correction, ensuring AI is always improving.
03.
Context-Aware AI vs. Rule-Based Monitoring
Squint Cognition understands context in decision-making. Instead of flagging generic "bias," it maps features and relationships within the data to identify where AI is truly struggling.
AI struggles when it doesn’t understand the bigger picture. Squint Cognition brings contextual intelligence to AI, helping it see beyond raw data.
04.
The Bridge Between AI Safety and AI Autonomy
Squint Cognition takes AI toward autonomy by ensuring AI thinks more like humans - assessing risks, recognizing uncertainty, and improving itself without human intervention.
AI is moving towards decision-making autonomy. Squint Cognition provides the safety mechanisms necessary to make that transition trustworthy.
autonomous
vehicles
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We are powering autonomous vehicles that understand, explain, and self-correct in real-time.
Embedding human-like cognition and self-awareness into autonomous driving systems.
Squint Cognition understands context, not just sensor data.
Self-adapting AI allows autonomous vehicles to evolve rapidly to real-world changes.
aerospace
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From autonomous navigation to anomaly detection in flight systems Squint’s Cognitive framework equips AI with self-learning and self-awareness capabilities
Squint Cognition understands when human input is critical, seamlessly integrating AI autonomy with human oversight, optimizing collaborative decision-making in complex aerospace missions.
During autonomous flight operations, Squint Cognition flags questionable AI system decision like obstacle avoidance, navigation route adjustments, and landing procedures enhancing flight safety, and reducing potential mid-flight system errors.
Squint Cognition enables aerospace AI systems to autonomously detect, understand, and correct potential errors in real-time, significantly enhancing safety, reliability, and decision accuracy during critical operations.
Health Care
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Healthcare AI models can think with Squint Cognition ensuring safer, more reliable medical decisions
Detects uncertainty in medical imaging (e.g., unclear tumor margins, ambiguous pathology slides) immediately and autonomously. Supports autonomous refinement of clinical models significantly improving diagnostic performance over time without manual retraining.
Offers real-time safeguards against predictive errors in high-stakes scenarios (e.g., cancer diagnostics, radiology imaging).
software
development
Transforms AI systems into self-aware, continuously learning, and contextually intelligent platforms
Squint Cognition embeds real-time cognitive intelligence, allowing AI to assess its reasoning continuously. Provides visual "brain scans" of AI models, clearly revealing why decisions are made, enabling faster troubleshooting and streamlined model improvement.
Squint Cognition reduces AI debugging and validation time by up to 40%, minimizing costly and unpredictable AI failures in production environments.
careers
Squint Cognition is not a job. We offer careers with meaning. Become a part of Squint and work out human responsible algorithms.
