Beacon provides an AI‑powered platform that aggregates transportation documents, communications, and geospatial data into a searchable repository, delivering instant, context‑aware answers via large‑language‑model inference and vector retrieval. The system includes specialized tools for incident response and engineering estimation, complete with audit‑ready logs and role‑based security, and offers web and API access for integration with DOT workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Transportation agencies and engineering teams must sift through disparate data sources—such as PDFs, meeting transcripts, and legacy SOPs—to answer operational questions, estimate project scopes, and respond to incidents. This manual data wrangling is time‑consuming, prone to error, and limits the speed and safety of decision‑making. Additionally, lack of audit‑ready traceability makes compliance reporting difficult.
Solution
Beacon delivers an AI‑driven platform that consolidates all transportation‑related documents, communications, and geospatial data into a single searchable repository. Large‑language‑model (LLM) inference and vector‑based retrieval surface precise answers instantly, eliminating endless search results. The system enriches each query with location context, mapping people, projects, and assets to the relevant geographic area. Built‑in audit logs capture every interaction for compliance review. Specialized modules—TMC‑React for incident management and Engineering Estimation for rapid project scoping—provide domain‑specific guidance while preserving analyst judgment. All components are accessible via a web dashboard and expose APIs for integration with existing DOT workflows and enterprise systems.
Target Audience
Primary users are state and federal Department of Transportation (DOT) agencies, traffic incident management teams, and civil engineering project managers who need rapid, data‑driven insights for operations and project planning. The platform also serves analysts and planners responsible for compliance reporting and documentation management.
Features
- Unified AI‑powered search across PDFs, transcripts, SOPs, and other project artifacts using vector embeddings and LLM summarization
- Geospatial context engine that automatically links queries to relevant locations, assets, and jurisdictional boundaries
- Real‑time audit‑ready traceability log that records each keystroke and AI suggestion for compliance reporting
- TMC‑React incident‑response UI delivering AI‑guided step recommendations and consolidated contact information on a single screen
- Engineering Estimation assistant that retrieves comparable past projects, extracts cost drivers, and generates first‑draft scopes with transparent assumptions and citations
- Document discovery tool (Dewey) that surfaces project‑specific documents on demand, reducing manual filing‑cabinet searches
- Secure, role‑based access control and end‑to‑end encryption for data protection
- RESTful API and FHIR‑compatible connectors for seamless integration with existing DOT and enterprise software stacks