Computer Vision | Tribe AI

Computer vision

Unlock the potential of computer vision

What is computer vision?

Computer vision is an advanced form of machine learning that uses algorithms to analyze, interpret, and understand visual data such as images and videos. Using computer vision, businesses can streamline operations, enhance customer experience, and automate routine tasks for increased efficiency and profitability.

Tribe helps companies identify use cases for computer vision, select the right models, prepare data, develop custom solutions, and provide ongoing support.

How Tribe used computer vision to build the world's fastest estimating takeoff software

Learn how Tribe empowered non-technical leadership to execute on a strategic technical vision and disrupt the $1.3 trillion construction industry.

Recent projects

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Enabled cashierless retail experiences for leading chain

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Built automated takeoff software for construction startup

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Improved performance of point cloud object detection model

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Improved performance of x-ray diagnostic model by 30%

How Tribe can help

Object detection

By identifying and localizing objects within an image or video feed, object detection can automate quality control, monitor inventory, and detect anomalies or defects in products, making it particularly useful for industries like retail and manufacturing.

Semantic segmentation

Dividing an image into regions and assigning each region a semantic label helps identify specific areas of interest, making it especially useful for industries such as healthcare and agriculture where it can help diagnose and treat patients or monitor crop growth and identify pests.

Point cloud

Combining multiple data types to gain a comprehensive understanding of a situation, multi-modal computer vision can be used to analyze traffic patterns, optimize routes, and monitor public spaces for security, making it useful for industries such as transportation and security.

Multi-modal computer vision

Work with the best talent in AI

Computer Vision Engineer

Ameer

PREVIOUSLY:

Worked at Apple and Nasa

AI Researcher

Jeff

PREVIOUSLY:

AI and research at Meta,
‍Allen AI, and Palantir

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ML Engineer

Paige

PREVIOUSLY:

Software Engineering at Google‍

Linguistics at UCLA

Senior Data Scientist

Kineret

PREVIOUSLY:

Data at Google‍

Launched Apple card at Apple

Research Engineer

Seraphina

PREVIOUSLY:

Researcher at University of Edinburgh

Product at Google

Full-stack Engineer

Richard

PREVIOUSLY:

Engineer at RBC

ML scientist at Arterys medical

Senior ML Engineer

Adrian

PREVIOUSLY:

First employee at Weights & Biases,

Worked at Google

ML and Software Engineer

Jorg

PREVIOUSLY:

Worked for Google Brain

and Facebook AI Research

Trusted by top executives

Tribe’s research, strategy, and architecture enabled us to leverage cutting edge computer vision at scale in an entirely new way.

Head of Innovation

Valora

Until now, no one has been able to account for the nonlinear events that cause a fire to get out of hand. Our approach does a better job predicting how all these factors come together to create these catastrophic level events.

Nat Manning, COO

Kettle

I think the benefit with Tribe is they’re so experienced in the field, they can come in and very quickly assess what needs to be done and start making progress.

Co-founder & CEO

Fantasmo

My head was spinning during the entire handoff presentation. We now have our multi-year product roadmap, based on this 8-week project – which is incredible.

Co-founder & CEO

Wingspan