Teralytics is a leading mobility analytics platform that transforms anonymized mobile network data into meaningful insights about how people move through cities, regions, and countries. By leveraging AI and data science, Teralytics provides governments, transportation agencies, and private organizations with a deep understanding of travel behavior, population flows, and infrastructure usage.
Headquartered in Zurich and operating globally, Teralytics enables smarter, data-informed decisions in transportation planning, infrastructure development, sustainability programs, and emergency response. The platform is built on secure, privacy-compliant methods and is designed to offer scalable, high-resolution mobility intelligence.
Features
Teralytics offers a robust suite of features designed to turn raw mobile network data into actionable human mobility insights.
A core feature is its Mobility Analytics Engine, which processes billions of anonymized mobile signals daily to generate highly accurate origin-destination (O/D) matrices, trip patterns, and modal splits.
The platform offers real-time and historical analysis, allowing users to track how mobility patterns evolve over time or respond to disruptions such as policy changes, weather events, or crises.
Teralytics supports modal share estimation, distinguishing between modes of transport like car, rail, bus, and walking, without relying on surveys or sensors.
Through its interactive dashboard, users can visualize flow maps, regional connectivity, trip volumes, and movement density in an intuitive, web-based interface.
The system is API-enabled, allowing integration of mobility data into GIS platforms, transport modeling software, and planning tools.
Teralytics delivers custom reports and insights tailored to project goals—whether for strategic planning, investment justification, or sustainability tracking.
Privacy is embedded in all products, with strict data anonymization and aggregation protocols that meet European and international privacy standards.
How It Works
Teralytics works by partnering with telecom operators to access anonymized, aggregated mobile network data that captures population movement on a massive scale.
The platform processes mobile signals (location pings from cell towers) and applies machine learning algorithms to infer travel patterns, including trip start and end points, routes, duration, and transport modes.
This raw data is cleaned, validated, and transformed into high-resolution mobility datasets. The AI engine ensures spatial and temporal accuracy while preserving user privacy.
Users access mobility insights through the Teralytics dashboard or via API, where they can query data by geography, time, mode of transport, or type of movement (e.g., commuting, intercity travel, event-related trips).
The system supports both macro-level analysis (e.g., regional travel trends) and micro-level planning (e.g., station catchment areas or last-mile connectivity).
These insights are used for transport modeling, planning infrastructure, measuring mobility equity, and optimizing services.
Use Cases
Teralytics serves a wide range of public and private sector organizations that need accurate, scalable mobility intelligence.
Urban and regional planners use Teralytics to design transport systems, evaluate new infrastructure needs, and model urban growth.
Public transport agencies rely on the platform to understand passenger demand, optimize routes, and allocate resources more effectively.
Ministries of transport and national governments use Teralytics to inform policy decisions, assess emissions impacts, and plan for future mobility trends.
Event organizers and city managers use real-time insights to manage crowd flow and ensure safety during large-scale events.
Sustainability leaders and smart city teams use the platform to measure the impact of climate policies, promote multimodal travel, and improve accessibility.
Emergency response agencies use mobility data to plan evacuations, model pandemic spread, or track population displacement during crises.
Retail and commercial developers assess footfall and travel behavior to choose optimal store or service locations.
Pricing
Teralytics does not list standard pricing on its website, as pricing is determined based on the scope, geography, and frequency of data access required.
Key pricing factors include:
Geographic scale (city, region, national)
Historical vs. real-time data access
Number of transport modes and datasets included
Customization and integration needs
Licensing terms (one-time, subscription, or API access)
Organizations can request a custom quote or consultation through the Teralytics website based on their specific use case and data needs.
Strengths
Teralytics offers unparalleled scale and granularity by using telecom data, capturing near-complete population movements compared to sample-based surveys.
The platform’s AI-powered mode detection delivers modal split insights without the need for sensors or manual classification.
It enables both retrospective analysis and real-time monitoring, supporting strategic planning as well as operational decision-making.
Teralytics is known for its data privacy leadership, using strong anonymization and aggregation methods compliant with global standards.
Its visualization and API tools are user-friendly, making insights accessible to technical and non-technical stakeholders alike.
The company’s experience across sectors ensures cross-functional applications from transport and sustainability to commercial planning.
Drawbacks
Access to telecom data depends on data partnerships, which may not be equally available in all regions, potentially limiting coverage.
The platform is optimized for population-scale analysis and may not be ideal for hyper-local use cases without additional datasets.
Organizations unfamiliar with telecom data may face a learning curve in interpreting mobility metrics and methodology.
Pricing and access are customized, so no self-service or trial option is available, which may delay initial exploration.
It may require technical resources for API integration or downstream modeling, especially for advanced use cases.
Comparison with Other Tools
Compared to survey-based platforms like INRIX, StreetLight Data, or TomTom Traffic, Teralytics offers higher population coverage by relying on telecom data rather than GPS traces or sample panels.
Unlike app-based providers, Teralytics does not require users to opt in or download apps, ensuring bias-free and inclusive mobility insights.
Compared to Google Mobility Reports, Teralytics provides higher temporal and spatial resolution, with more flexible access and enterprise-grade features.
While Cuebiq and SafeGraph offer mobile location data, Teralytics delivers stronger privacy and transport-mode detection, which is better suited for public planning.
Customer Reviews and Testimonials
Teralytics works with top-tier clients including transport authorities, governments, infrastructure firms, and consulting agencies around the world.
Clients praise Teralytics for its high accuracy, responsive support, and data transparency. Public agencies report improved planning capabilities and reduced reliance on costly manual surveys.
In customer case studies, Teralytics data has been used to support COVID-19 mobility analysis, optimize rail and bus networks, and assess the impact of carbon reduction policies.
Users appreciate the platform’s ability to bridge data gaps in underserved areas and provide real-world validation for transport models.
Conclusion
Teralytics is a powerful mobility intelligence platform that empowers cities, governments, and businesses to plan, build, and manage infrastructure based on real human movement patterns. By harnessing telecom data and AI, Teralytics delivers privacy-safe, accurate, and scalable mobility insights that support sustainable urban growth, efficient transport, and strategic planning.
With unmatched population coverage and actionable analytics, Teralytics is reshaping the way we understand and manage the flow of people in a connected world.
