Dashmob provides a cloud‑native SaaS platform that aggregates real‑time traffic, transit telemetry, and incident data into a unified geospatial analytics environment. It offers interactive GIS dashboards, KPI monitoring, predictive congestion forecasts, and scenario simulation tools, with role‑based security and LGPD‑compliant data governance for municipal transportation agencies.
Funding
Funding not disclosed
Founders
Product
Problem
Public sector agencies often rely on fragmented data sources for traffic flow, vehicle occupancy, and incident reporting, making it difficult to obtain a unified, real‑time view of urban mobility. Without integrated analytics, planners struggle to identify congestion patterns, evaluate policy impacts, and communicate results transparently to stakeholders.
Solution
Dashmob delivers a cloud‑native SaaS platform that consolidates live traffic feeds, transit vehicle telemetry, and incident alerts into a single geospatial analytics environment. The system ingests data via secure APIs and streaming pipelines, normalizes it in a multi‑tenant data lake, and surfaces key performance indicators through interactive maps and drill‑down dashboards. Built‑in machine‑learning models generate short‑term forecasts and enable “what‑if” scenario simulations for infrastructure planning. Automated reporting tools export results in PDF or CSV formats and support direct publishing to public portals, ensuring both operational efficiency and regulatory compliance. Role‑based access controls and LGPD‑aligned data governance protect sensitive information while allowing cross‑agency collaboration.
Target Audience
The primary customers are municipal transportation departments, public transit agencies, and urban planning offices that need integrated mobility intelligence for operational decision‑making and public accountability.
Features
- Real‑time data ingestion engine supporting MQTT, REST, and GTFS‑Realtime feeds from traffic sensors, AVL systems, and incident management platforms.
- Scalable GIS visualization layer with vector tiles, heat‑maps, and animated flow diagrams for city‑wide mobility monitoring.
- Configurable KPI library (e.g., average travel time, vehicle load factor, incident response latency) with custom dashboards and drill‑down analytics.
- Predictive analytics module leveraging gradient‑boosted trees and time‑series models to forecast congestion and evaluate policy scenarios.
- Scenario simulation workspace that lets planners model infrastructure changes, service adjustments, or demand‑management measures and view projected impacts instantly.
- Automated report generator with templated layouts, scheduled exports, and one‑click publishing to municipal transparency portals.
- Enterprise‑grade security suite: role‑based access, audit logging, end‑to‑end encryption, and compliance with Brazil’s LGPD data protection standards.
- Multi‑tenant SaaS architecture with continuous deployment, zero‑downtime updates, and SLA‑backed uptime guarantees.