Artificial Intelligence
& Machine Learning

Enhanced Navigation Mastery
with AI and ML

Real-time navigation is an intriguing and multifaceted field encompassing numerous intricately weaved technologies, including search algorithms, route optimization, road network graph generation, traffic data analysis, and GPS error correction, to name a few. Using the potential of AI and Machine Learning, we have pioneered several areas:



TPL Maps employs a proprietary AI-based search engine, capable of storing, searching, and analyzing extensive datasets in near real-time. It harnesses advanced Natural Language Processing and big data techniques, empowering users with instantaneous location searches.


Base Maps

Crucial to any navigation app, our in-house base maps incorporate diverse algorithms. These algorithms dynamically display Points of Interest (POIs), housing data, cartography, scale, and roads at varying zoom levels, considering their importance, size, and ratings.



Routing, the process of finding the optimal travel route, is vital for applications like maps and delivery services. Our app utilizes a blend of AI/ML techniques to calculate the shortest or fastest route, coupled with turn-by-turn navigation guidance.


Underlying Road Network Graphs

This data structure represents roads and intersections. Each road segment is a node, and each intersection an edge. The graph stores additional data like road names, speed limits, and turn restrictions, aiding the routing engine in determining the best route.


GPS Drifts Removal

GPS drifts are random fluctuations or deviations of GPS coordinates that occur over time and compromise the quality of navigation in the form of incorrect positioning, distance estimation, or speed calculation. Our AI-based algorithm rectifies GPS inaccuracies in real-time, enhancing navigation accuracy and reliability.


Public Transport

Introducing a first-of-its-kind in Pakistan, our GTFS-based engine provides public transport information, including routes, schedules, fares, and geographic transit details. Our AI/ML routing engine calculates walk times, distances between stations, bus travel times, and routes.


Traffic Data

We leverage machine-learning techniques to analyze historical traffic patterns and real-time location data from probe devices. This empowers us to estimate traffic conditions and suggest optimal routes.


Fuel Cost

Our in-house algorithm factors in several parameters including traffic conditions, distance, vehicle type, engine capacity, and idling time to estimate fuel costs per trip. Users know exactly how much a trip will cost in terms of fuel consumption.

Use Cases – Demonstrating Learning from Experience

Big data is the backbone of any navigation app. Its accuracy hinges on timely updates, collection, and digitization. For any navigation app to be relevant, the data sets need to be updated, collected, and digitized on a daily basis. We've harnessed the power of AI and ML to develop in-house services that enable us to manage such large volumes of data with no quality leakage and deliver precise, efficient, and reliable solutions.

Here are some use-cases that demonstrate our mastery over AI/ML algorithms:

Category Classification

Deep learning algorithms expedite data insertion by predicting and assigning accurate categories to Points of Interest (POIs). This model is trained on millions of categorized POIs from the TPL database.

Road Extraction from Satellite Images

Deep neural networks automatically extract road information from satellite imagery, enabling more frequent road network updates compared to traditional manual data collection methods.

Image Text Detection

Advanced Computer Vision algorithms identify and extract video frames containing POI labels from geo-tagged video surveys. These video surveys have locational information, including the POI labels embedded in.

Address Standardization and Validation

TPL Maps is developing an AI/NLP engine to understand the structure and variations of different address types. Application of address standardization and validation techniques will significantly improve the customer engagement process for any business venture.

TPL Maps is a rapidly expanding and pioneering technology startup in Pakistan, that stands at the forefront of innovation. Our mission is to redefine the significance of location insights for enterprises and revolutionize mobility for consumers. With a relentless drive, we tap into the potential of geospatial data and analytics to create profound and quantifiable value across all facets of enterprise operations. Simultaneously, we are dedicated to crafting Pakistan’s sole native navigation app, meticulously capturing the intricacies of our diverse landscape.

What we do

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