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.
Read more

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
Semantic segmentation
Point cloud
Multi-modal computer vision

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
Computer Vision Engineer
Ameer
PREVIOUSLY:

Worked at Apple and Nasa

Intelligent Perception, Robotics, Computer Vision
AI Researcher
Jeff
PREVIOUSLY:

AI and research at Meta,
‍Allen AI, and Palantir

‍

CV, NLP, ML Engineer
ML Engineer
Paige
PREVIOUSLY:

Software Engineering at Google‍

Linguistics at UCLA

NLP, CV, Linguistics
Senior Data Scientist
Kineret
PREVIOUSLY:

Data at Google‍

Launched Apple card at Apple

Data infra, Deep learning
Research Engineer
Seraphina
PREVIOUSLY:

Researcher at University of Edinburgh

Product at Google

AI Fairness, Interpretability, NLP
Full-stack Engineer
Richard
PREVIOUSLY:

Engineer at RBC

ML scientist at Arterys medical

Neural networks, Data eng, Recommendations
Senior ML Engineer
Adrian
PREVIOUSLY:

First employee at Weights & Biases,

Worked at Google

Data Science, NLP, Computer Vision
ML and Software Engineer
Jorg
PREVIOUSLY:

Worked for Google Brain

and Facebook AI Research

Neural Networks, Computer Vision, Transformers

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

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