MAKING AI THINK

Humans squint when we are not sure.

AI can squint too

TWO PRODUCTS, ONE COGNITIVE REASONING ENGINE

Squint Cognition builds reasoning and cognition engines for machine intelligence. Our engines let a machine examine its own reasoning, which is what makes an output precise and dependable.

AERO CERT

Neuro-symbolic engine that constructs traceable, auditable, and repeatable DO-178C artifects.

SQUINT VISION STUDIO

Certifiable AI that tests, bounds, and monitors vision models so you know where they can be trusted.

Research Paper

MACHINE LEARNING WITH APPLICATIONS

A novel application of XAI in squinting models: A position paper

Grid of XAI saliency maps from the position paper, coloured blue through red by attribution strength

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CIFAR-10 DATASET

You will be guided through the process of setting up a project, importing the CIFAR-10 dataset and model...

BREAST CANCER DATASET

This guide walks you through a complete workflow in Squint Vision Studio using the Breast Histopathology Images Dataset...

COCO DATASET

This guide walks you through a complete workflow in Squint Vision Studio using a custom 10-class subset of the COCO dataset...

MNIST DATASET

You will be guided through the process of setting up a project, importing the MNIST dataset and model...

Neuro-symbolic reasoning, and why this makes AeroCert fundamentally different from generative AI tools

How an onboard cloud filter decides which satellite images to keep

Latent drift: how models change without anyone noticing

Why the future of AI is not more data but better reasoning

Building a hybrid navigation stack with Squint Vision Studio

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INDUSTRIES WE SERVE

Discover how Squint Cognition is working with these industries today

Satellite in orbit above Earth's atmosphere

AEROSPACE

Robotic manufacturing arm against a white background

INDUSTRIAL MANUFACTURING

Airflow simulation streaming over an aircraft wing

AVIONICS

Scatter plot of model embeddings with a cluster highlighted in red

SOFTWARE AND MODELS

Featured Case Study

BUILDING A SQUINTING PIPELINE FOR WEED/CROP DETECTION WITH SQUINT VISION STUDIO

How embedding-space monitoring can make embedded computer vision systems more reliable, efficient, and production-ready

Side-by-side seedling trays comparing ground-truth labels with model predictions for weed and crop detection

Damian Fozard

Founder

Damian is a technology entrepreneur with a background in cryptography and high-reliability embedded systems. He founded CoreAVI, the world leader in safety-critical GPU technologies for the aviation and defense industries.

Andrew Barker

Chief Executive Officer

Andrew is an aviation executive and entrepreneur who builds, scales and commercializes new technology ventures. He grew and exited TruTrak Flight Systems, then led Honeywell's entire integrated avionics product portfolio.

Kenneth Wenger

Founder / Chief Technology Officer

Kenneth is a founder and CTO at Squint Cognition, and a Research Scholar at Toronto Metropolitan University's Advanced Artificial Intelligence Lab, where his research sits where humans and machines meet.

Steve Viggers

Chief Software Officer

Steve is a technology executive with a programming background and deep experience in zero-trust cybersecurity, cloud computing and software engineering. He has built new engineering teams from the ground up.

BUILD THE FUTURE OF AI WITH US

We are working on the hardest problem in the field, teaching machines to know when they can be trusted. Come help us solve it.

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