Making AI Think

Context awareness

Cognitive intelligence

limitations Awareness

Autonomous Intelligence

SQUINT AI is a cognitive AI system designed to make AI think - bridging the gap between human reasoning and machine intelligence.

01.

Moving from explainability to cognitive awareness

SQUINT AI embeds context 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 AI enables AI to understand itself.

02.

Real-time decision optimization instead of static reporting

SQUINT AI 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 AI provides real-time self-correction, ensuring AI is always improving.

03.

Context-aware AI vs. rule-based monitoring

SQUINT AI 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 AI brings contextual intelligence to AI, helping it see beyond raw data.

04.

The Bridge Between AI Safety and AI Autonomy

SQUINT AI 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 AI provides the safety mechanisms necessary to make that transition trustworthy.

autonomous vehicles

WE ARE Powering Autonomous Vehicles that Understand, Explain, and Self-Correct in Real-Time.

01.

Embedding human-like cognition and self-awareness into autonomous driving systems.

Self-adapting AI allows autonomous vehicles to evolve rapidly to real-world changes.

Squint AI understands context, not just sensor data.

aerospace

from autonomous navigation to anomaly detection in flight systems Squint’s AI cognitive framework equips AI with self-learning and self-awareness capabilities

02.

Squint AI 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.

Squint AI 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 AI flags questionable AI system decision like obstacle avoidance, navigation route adjustments, and landing procedures enhancing flight safety, and reducing potential mid-flight system errors

Health Care

HEALTHCARE AI MODELS CAN THINK WITH SQUINT AI Ensuring Safer, More Reliable Medical Decisions

03.

Offers real-time safeguards against predictive errors in high-stakes scenarios (e.g., cancer diagnostics, radiology imaging).

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.

software development

transforms AI systems into self-aware, continuously learning, and contextually intelligent platforms

04.

Squint AI reduces AI debugging and validation time by up to 40%, minimizing costly and unpredictable AI failures in production environments.

Squint AI 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.