Teralytics provides a cloud‑native mobility intelligence platform that converts anonymized mobile‑device signals into real‑time line‑level ridership counts, punctuality metrics, and zone‑to‑zone origin‑destination matrices. The platform delivers AI‑driven demand forecasts, scenario simulation, and API‑based access, allowing transit operators and planners to calibrate models, evaluate service changes, and automate reporting.
Funding
$17.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
BVFounders
Product
Problem
Transport agencies and planners often rely on fragmented, low‑resolution data sources that cannot capture real‑time travel patterns or provide accurate origin‑destination (OD) matrices. This limits their ability to forecast ridership, assess on‑time performance, and evaluate network changes with confidence. Consequently, service optimization and infrastructure investment decisions are based on incomplete or outdated information.
Solution
Teralytics delivers a unified mobility intelligence platform that combines two core products: Flow and Matrix. Flow ingests anonymized mobile‑device signals to generate line‑level ridership counts and on‑time performance metrics for every station and route, updating continuously throughout the day. Matrix aggregates the same signal pool into zone‑to‑zone OD matrices, differentiating travel modes and supporting granular demand modeling. Both products expose the data through a cloud‑native analytics engine that applies machine‑learning forecasts, scenario simulation, and KPI dashboards accessible via web UI or API. The platform acts as a digital twin of transit systems, enabling operators, planners, and modelers to run evidence‑based what‑if analyses, calibrate transport models, and automate reporting without manual data collection.
Target Audience
Primary customers are public‑transport operators, regional planning agencies, and transportation modelers who require high‑resolution mobility data for operational control, network design, and scenario planning.
Features
- Real‑time ridership and punctuality feeds derived from >2 billion daily trips across 119 k+ cities, refreshed at sub‑hour intervals
- Mode‑segmented OD matrices with configurable zone granularity and export to CSV, JSON, or GIS formats
- AI‑driven demand forecasting that predicts passenger volumes up to 12 months ahead with confidence intervals
- Scenario‑analysis engine allowing users to model service changes, pricing policies, or infrastructure projects and view projected impacts on travel patterns
- RESTful API with OAuth 2.0 authentication and optional FHIR‑compatible endpoints for seamless integration with existing transit management systems
- Interactive web dashboard featuring heat‑maps, trend graphs, and KPI alerts configurable for operators or planners
- Sub‑area extraction tool that isolates a geographic subset of the mobility twin for focused studies or model calibration
- Enterprise‑grade data security, including GDPR‑compliant anonymization, end‑to‑end encryption, and role‑based access controls