Construction & logistics
AI solutions for construction
Paving the way for smart construction
AI is changing the way construction firms, workers, and clients do business. Investing in AI solutions for construction can provide significant benefits when it comes to efficiency, safety, and profitability of construction projects.
How Tribe built AI-powered estimating takeoff software
Learn how Tribe partnered with Togal to empower non-technical leadership to execute on a strategic technical vision to build the world’s fastest estimating takeoff software.
Recent projects
Active
Automate bid process for large food distribution company
+8
Active
Build world's fastest estimating takeoff software
+9
Active
Scale ML functions for public medical device company
+2
Active
Automate manual processes for energy logistics company
+9
How Tribe can help
Optimization
Machine learning algorithms can analyze data from your supply chain, such as inventory levels, demand forecasts, and shipping times to optimize operations. This same technique can be applied to route optimization to reduce fuel costs and improve delivery times.
Maintenance
Streamline your claims processing with machine learning automation. Quickly identify and handle claims with machine learning algorithms, which detect fraud more efficiently, reducing costs and improving profits.
Safety
Machine learning algorithms can identify potential safety hazards in job sites and take proactive measures to prevent accidents and improve worker safety.
Planning
Machine learning algorithms can analyze data from past projects to help plan and schedule future projects more accurately, minimizing delays and cost overruns.
Work with the best AI talent in the world
Daniel
PREVIOUSLY:
Postdoc researcher at Princeton
Research at Microsoft Research
Pratik
PREVIOUSLY:
Lead engineer at FairPlay AI
Sr Engineer at Autodesk
Ameer
PREVIOUSLY:
Worked at Apple and Nasa
Oleksandr
PREVIOUSLY:
CTO at Togal
ML at Adblock
Michele
PREVIOUSLY:
Worked for Nasa, Google,
Stanford, Wayfair
Timothy
PREVIOUSLY:
ML at Google
Early engineer at Amazon Data
Trusted by top executives
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