Proven impact. Real-world results.

See how DAVTEQ has helped organizations harness data to solve complex challenges and drive measurable outcomes.

CCTA
Unified Data & AI Platform (Powered by LoomIQ)

Challenge

CCTA's transportation data was scattered across multiple systems and formats, requiring days of manual work to generate insights and slowing down critical decisions.

Solution

CCTA adopted LoomIQ, DAVTEQ's AI-enabled data intelligence platform, customized to their specific needs. The system unified 10+ data sources into a secure, cloud-based environment and provided staff and stakeholders with 20 automated dashboards, a natural language AI assistant, and intelligent automation tools like a grant application processor. With LoomIQ, both technical and non-technical users gained instant access to critical insights.

Results

Insights delivered in seconds instead of days
20 dashboards & 70+ KPIs for staff and the public
Automated, data-backed grant applications
Scalable foundation for future predictive analytics
LoomIQ turned days of analysis into minutes—bringing together crash, traffic, and transit data to uncover insights we couldn't see before.
John Hoang
Former Director of Planning, CCTA
CCTA
Data Visualization Dashboards

Challenge

Without centralized tools, CCTA lacked real-time visibility into traffic and transit performance, limiting their ability to respond effectively to incidents and congestion.

Solution

DAVTEQ developed a cloud-based analytics dashboard integrating sources like Inrix, PeMS, Streetlight, and CMP data. Interactive visualizations provided up-to-date insights into traffic flow, incidents, and project performance - helping CCTA plan and act with confidence.

Results

Delivered an intuitive, real-time web dashboard
Enabled proactive responses to congestion and safety issues
Created a scalable tool to support long-term planning
Nissan, UC Berkeley
Cooperative Congestion Management

Challenge

The I-680 corridor faced recurring stop-and-go congestion, causing safety risks, fuel inefficiency, and increased emissions.

Solution

In partnership with Nissan and UC Berkeley, DAVTEQ developed an AI-driven Cooperative Congestion Management system. By adjusting speeds of select connected vehicles through cloud-based algorithms, the platform reduced traffic oscillations without requiring platooning or driver intervention.

Results

Smoothed traffic flow and reduced phantom jams
Improved highway safety and fuel efficiency
Created a scalable model for congestion management in metro regions worldwide

Our Proven Process

01
Discovery

Understanding your data challenges and goals

02
Strategy

Designing the optimal solution architecture

03
Implementation

Building and deploying your solution

04
Optimization

Continuous improvement and support

Ready to see what DAVTEQ can do for you?

Every organization has unique data challenges. Let's discuss how we can help you transform scattered information into actionable intelligence that drives real results.