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%

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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

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.
Work with the best talent in AI
Bay Area, CA
30h/week
Ameer
Computer Vision Engineer

Worked at Apple and Nasa

Intelligent Perception, Robotics, Computer Vision
San Francisco
10h/week
Jeff
AI Researcher

AI and research at Meta,
Allen AI, and Palantir

CV, NLP, ML Engineer
LA
15h/week
Paige
ML Engineer

Software Engineering at Google

Linguistics at UCLA

NLP, CV, Linguistics
San Francisco
40h/week
Kineret
Senior Data Scientist

Data at Google

Launched Apple card at Apple

Data infra, Deep learning
Edinburgh, Scotland
40h/week
Seraphina
Research Engineer

Researcher at University of Edinburgh

Product at Google

AI Fairness, Interpretability, NLP
Toronto
40h/week
Richard
Full-stack Engineer

Engineer at RBC

ML scientist at Arterys medical

Neural networks, Data eng, Recommendations
Montreal, Canada
20h/week
Adrian
Senior ML Engineer

First employee at Weights & Biases,

Worked at Google

Data Science, NLP, Computer Vision
New York, NY
20h/week
Jorg
ML and Software Engineer

Worked for Google Brain

and Facebook AI Research

Neural Networks, Computer Vision, Transformers

Trusted by top executives

Katie [Tribe consultant] has become an indispensable member of our team. I trust her completely and even included her as part of our leadership team in our fundraising materials.
After Tribe joined, we went from 0 to 100 in terms for time to market. This work was a jet propulsion for our team”

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