Engineers manually analyzed crashes across disconnected systems. Now, ML unifies 5 years of data to pinpoint high-risk corridors.
A municipal transportation department manages over 4,000 miles of roadway and 7,800 intersections for a growing metropolitan area, experiencing more than 6,000 collisions and nearly 30 fatal crashes annually.
Collision analysis relied on manual methods across disconnected systems, limiting the ability to identify high-risk intersections and understand root...
Municipal agency managing Seattle's transportation infrastructure and mobility services.
Enterprise AI application platform for building and deploying large-scale AI solutions.
Related implementations across industries and use cases
With 2.5 staff, manual counts slowed signal timing. Vision AI now tracks 55k vehicles in a live 3D twin to optimize flow continuously.
13.5k incidents forced agents to rush notes. AI now drafts summaries from transcripts, saving a work-month of admin time annually.
Manual analysis took months. AI now sorts input from 7,700 residents, saving 28 days of work and targeting projects for federal funding.
Vital signals were buried in millions of unstructured docs. AI processes data 71% faster, revealing predictive infrastructure insights.
Nurses relied on paper schedules to manage hundreds. AI tools now optimize flow and discharge, saving 50,000 unnecessary inpatient days.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Auditors spent 10 months reviewing boxes of invoices. AI now reconciles the data in hours, freeing staff to investigate anomalies.
Advisors hunted data across five systems. GenAI now builds traceable meeting packs, saving 4,700 hours a year.
Without video, managers couldn't refute false claims or spot phone use. Now, AI dashcams flag risky habits to guide driver coaching.
Engineers manually analyzed crashes across disconnected systems. Now, ML unifies 5 years of data to pinpoint high-risk corridors.
A municipal transportation department manages over 4,000 miles of roadway and 7,800 intersections for a growing metropolitan area, experiencing more than 6,000 collisions and nearly 30 fatal crashes annually.
Collision analysis relied on manual methods across disconnected systems, limiting the ability to identify high-risk intersections and understand root...
Municipal agency managing Seattle's transportation infrastructure and mobility services.
Enterprise AI application platform for building and deploying large-scale AI solutions.
Related implementations across industries and use cases
With 2.5 staff, manual counts slowed signal timing. Vision AI now tracks 55k vehicles in a live 3D twin to optimize flow continuously.
13.5k incidents forced agents to rush notes. AI now drafts summaries from transcripts, saving a work-month of admin time annually.
Manual analysis took months. AI now sorts input from 7,700 residents, saving 28 days of work and targeting projects for federal funding.
Vital signals were buried in millions of unstructured docs. AI processes data 71% faster, revealing predictive infrastructure insights.
Nurses relied on paper schedules to manage hundreds. AI tools now optimize flow and discharge, saving 50,000 unnecessary inpatient days.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Auditors spent 10 months reviewing boxes of invoices. AI now reconciles the data in hours, freeing staff to investigate anomalies.
Advisors hunted data across five systems. GenAI now builds traceable meeting packs, saving 4,700 hours a year.
Without video, managers couldn't refute false claims or spot phone use. Now, AI dashcams flag risky habits to guide driver coaching.