Translating LiDAR Sensing Research Into Operational Infrastructure Asset Intelligence
InfraSen was founded to translate advanced LiDAR infrastructure sensing research into practical, defensible asset intelligence for public agencies.
For years, LiDAR infrastructure sensing technologies advanced rapidly in research environments. Yet many agencies continued to rely on manual, fragmented asset inventory processes that were slow, inconsistent, and difficult to scale, particularly as compliance and documentation expectations evolved.
InfraSen was created to bridge that gap.
We combine research-backed innovation with operational discipline to deliver structured infrastructure asset inventory and condition datasets that agencies can deploy immediately, and scale over time.
The Problem We Set Out to Solve
Public-sector infrastructure programs require more than technical data. They require:
- Structured, GIS-compatible inventory records
- Defensible technical documentation
- Alignment with compliance-sensitive environments
- Integration into asset management systems
- Scalability from pilot to network-level programs
Traditional manual processes struggle to meet these demands efficiently. InfraSen addresses this challenge by applying automation-driven extraction workflows to produce structured, integration-ready asset datasets that support safety oversight, compliance alignment, and modernization initiatives.
From Research to Real-World Deployment
InfraSen emerged from applied research initiatives focused on LiDAR infrastructure sensing and processing automation. Rather than remaining in academic publication cycles, our work transitioned into operational deployments, supporting individual asset, corridor, campus, municipal, and statewide asset programs.
This research-to-deployment transition shapes how we work:
- Innovation grounded in field reality
- Automation designed for deployment
- Technical rigor aligned with public-sector constraints
What InfraSen Delivers
InfraSen delivers structured infrastructure asset inventory and defensible condition datasets, from targeted asset evaluations to corridor and network-level programs.
Our patented methodologies for assessing traffic control device retroreflectivity support agencies in strengthening safety oversight, meeting documentation expectations, and modernizing asset management programs.
We focus on integration-ready deliverables, not abstract analytics and not proprietary platform lock-in.
Leadership
InfraSen’s leadership combines academic depth with applied deployment experience across transportation and infrastructure asset programs. Our cofounder’s background in advanced infrastructure sensing research forms the technical foundation of the company’s automation workflows and patented traffic control device methodologies.
That foundation is not positioned as theoretical research, but as applied innovation translated into scalable asset inventory programs.
Leadership experience includes:
- Applied research and federally-funded infrastructure initiatives
- Multi-asset corridor deployments
- Baseline inventory development programs
- Automation-driven workflow design
- Integration into GIS and asset management environments
This blend of research rigor and operational execution defines InfraSen’s approach.
Built for Public Infrastructure Programs
Infrastructure asset intelligence must be defensible, structured, integration-ready, scalable, and aligned with real-world public-sector deployment constraints. InfraSen designs programs accordingly.
We transform sensing capability into structured, defensible asset intelligence, enabling public agencies to move from fragmented records and raw geometry to scalable, integration-ready asset management programs.