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At the junction of urban infrastructure evolution and advanced geospatial technologies stands Pointlab Entreprises, a dynamic multi- sector business group now operating across North and South America. Since our 2016 inception as a software development company, we've engineered sophisticated digital twin architectures that transform how cities conceptualize, manage, and optimize critical infrastructure.
Between 2010-2020 , our founder delivered sophisticated implementations across Emirates , Dubai, Spain, Sweden,Philippines , Canada , US spanning Land Use , Urban Mobility , Law Enforcement , Resource Planning and OPtimization Our technical framework harmonizes high-fidelity spatial data modeling with real-time systems integration across mobility networks, utility infrastructure, telecommunications systems, and law enforcement operations—establishing the digital foundation for next-generation smart city implementations.
Beyond technology consulting, POINTLAB diversified into supply chain management solutions in 2018, establishing distribution networks across Nicaragua, Costa Rica, and Chile .Our vibrant ecosystem now encompasses diverse ventures—Pointlab GIS / Softwares, Pointlab Automotive Workforce,, Pointlab Luxury Pre Owned Cars , Pointlab Warehousing and Pointlab Capital—each contributing distinctive strengths to our integrated vision of innovation. Our strategic focus converges on three transformative frontiers: Digital Transformation, where we leverage our software expertise to reimagine traditional business models across industries; Circularity Excellence, pioneering sustainable practices and closed-loop systems in high-end automotive workforce and refurbishment ; and Startup Ecosystem Development, where we channel our multi-industry insights into nurturing promising ventures through mentorship and strategic investment. This integrated approach, built on our foundation of quality, efficiency, and technological innovation, enables us to create meaningful connections between industries while delivering enduring value to our global network of clients, partners, and communities.
The consistent trust placed in POINTLAB by tier-1 institutions including RBC, BMO, CIBC, CPPIB, Chase Bank, AT&T, and various governmental agencies underscores the firm's reputation for excellence and reliability. Today, POINTLAB Enterprises stands as a versatile technology partner delivering multidimensional expertise across continents, industries, and technological paradigms.
POINTLAB’s journey through a matured evolution from geospatial expertise to Digital Twin implementation for city Mobility , communication and real estate infrastructure setting pace for complete future digitization for Urban masses.
POINTLAB has architected a systematic technical progression from foundational geospatial information systems to fully integrated urban digital twin implementations. This evolution represents a sophisticated convergence of spatial data modeling, real-time API integrations, and cloud-based computational resources that collectively enable high-fidelity virtual representations of physical infrastructure.
Our technical architecture leverages GIS as the spatial foundation layer upon which multiple data streams and analytical frameworks are integrated. This approach has enabled POINTLAB to develop digital twin solutions across critical urban domains:
Geographic Information Systems (GIS) serve as the essential foundation for creating effective Digital Twins of urban environments. At POINTLAB, we’ve built upon this foundation to enable us to deliver comprehensive virtual representations of physical infrastructure that transform urban planning and management.
GIS provides the critical spatial framework that enables Digital Twins to accurately represent real-world positioning, relationships, and interactions between city assets. By integrating precise geospatial data with real-time monitoring capabilities, POINTLAB creates intelligent virtual ecosystems that mirror physical urban infrastructure with unprecedented accuracy.
Stormwater Runoff / Drainage, Road Mapping, and Survey Guidance for ASHGHAL (Public Works Authority, Qatar) This initiative aimed to modernize ASHGHAL's manual systems for urban drainage, road mapping, and survey operations by establishing a GIS-driven digital framework. This framework automated workflows, improved spatial decision-making, and enhanced collaboration between office and field teams—a precursor to modern urban digital twin systems.
The project featured four integrated map services: Planning, Base Map, Survey, and Image. These services replaced manual processes with automated spatial workflows. Management users could conduct combined spatial and attribute queries to extract actionable insights, while operational users created stormwater runoff / sewer layout plans by drawing lines between sewer points, with automatic distance and direction labeling for field guidance. Additionally, operational users marked survey locations via polygon mapping and generated print-ready layouts. The system automatically emailed PDF layouts to field teams, ensuring alignment between planning and execution.
The outcomes of this project were significant. It improved accuracy by reducing human error in underground stormwater runoff / sewer system planning and survey marking. Operational efficiency was enhanced, with streamlined workflows cutting project turnaround times. Real-time collaboration was also improved, as field teams received precise plans via PDFs. The project laid the groundwork for future digital twin integration by centralizing geospatial data, demonstrating core components essential for such systems: spatial data integration, real-time decision support, and predictive planning.
This project showcased how GIS is a foundational layer for urban digital twins. It enabled data-driven infrastructure management and set the stage for advanced simulations and predictive analytics. The technology stack included ArcGIS Server for spatial data visualization, Oracle 10g with ArcSDE for centralized geodatabase management, .NET Framework for custom workflow automation tools, and jQuery for interactive web mapping interfaces. This project leveraged GIS to support the development of urban digital twins by integrating spatial data, enhancing operational efficiency, and facilitating real-time decision-making.
Stormwater Runoff / Drainage, Road Mapping, and Survey Guidance for ASHGHAL (Public Works Authority, Qatar) This initiative aimed to modernize ASHGHAL's manual systems for urban drainage, road mapping, and survey operations by establishing a GIS-driven digital framework. This framework automated workflows, improved spatial decision-making, and enhanced collaboration between office and field teams—a precursor to modern urban digital twin systems.
The project featured four integrated map services: Planning, Base Map, Survey, and Image. These services replaced manual processes with automated spatial workflows. Management users could conduct combined spatial and attribute queries to extract actionable insights, while operational users created stormwater runoff / sewer layout plans by drawing lines between sewer points, with automatic distance and direction labeling for field guidance. Additionally, operational users marked survey locations via polygon mapping and generated print-ready layouts. The system automatically emailed PDF layouts to field teams, ensuring alignment between planning and execution.
The outcomes of this project were significant. It improved accuracy by reducing human error in underground stormwater runoff / sewer system planning and survey marking. Operational efficiency was enhanced, with streamlined workflows cutting project turnaround times. Real-time collaboration was also improved, as field teams received precise plans via PDFs. The project laid the groundwork for future digital twin integration by centralizing geospatial data, demonstrating core components essential for such systems: spatial data integration, real-time decision support, and predictive planning.
This project showcased how GIS is a foundational layer for urban digital twins. It enabled data-driven infrastructure management and set the stage for advanced simulations and predictive analytics. The technology stack included ArcGIS Server for spatial data visualization, Oracle 10g with ArcSDE for centralized geodatabase management, .NET Framework for custom workflow automation tools, and jQuery for interactive web mapping interfaces. This project leveraged GIS to support the development of urban digital twins by integrating spatial data, enhancing operational efficiency, and facilitating real-time decision-making.
Stormwater Runoff / Drainage, Road Mapping, and Survey Guidance for ASHGHAL (Public Works Authority, Qatar) This initiative aimed to modernize ASHGHAL's manual systems for urban drainage, road mapping, and survey operations by establishing a GIS-driven digital framework. This framework automated workflows, improved spatial decision-making, and enhanced collaboration between office and field teams—a precursor to modern urban digital twin systems.
The project featured four integrated map services: Planning, Base Map, Survey, and Image. These services replaced manual processes with automated spatial workflows. Management users could conduct combined spatial and attribute queries to extract actionable insights, while operational users created stormwater runoff / sewer layout plans by drawing lines between sewer points, with automatic distance and direction labeling for field guidance. Additionally, operational users marked survey locations via polygon mapping and generated print-ready layouts. The system automatically emailed PDF layouts to field teams, ensuring alignment between planning and execution.
The outcomes of this project were significant. It improved accuracy by reducing human error in underground stormwater runoff / sewer system planning and survey marking. Operational efficiency was enhanced, with streamlined workflows cutting project turnaround times. Real-time collaboration was also improved, as field teams received precise plans via PDFs. The project laid the groundwork for future digital twin integration by centralizing geospatial data, demonstrating core components essential for such systems: spatial data integration, real-time decision support, and predictive planning.
This project showcased how GIS is a foundational layer for urban digital twins. It enabled data-driven infrastructure management and set the stage for advanced simulations and predictive analytics. The technology stack included ArcGIS Server for spatial data visualization, Oracle 10g with ArcSDE for centralized geodatabase management, .NET Framework for custom workflow automation tools, and jQuery for interactive web mapping interfaces. This project leveraged GIS to support the development of urban digital twins by integrating spatial data, enhancing operational efficiency, and facilitating real-time decision-making.
Stormwater Runoff / Drainage, Road Mapping, and Survey Guidance for ASHGHAL (Public Works Authority, Qatar) This initiative aimed to modernize ASHGHAL's manual systems for urban drainage, road mapping, and survey operations by establishing a GIS-driven digital framework. This framework automated workflows, improved spatial decision-making, and enhanced collaboration between office and field teams—a precursor to modern urban digital twin systems.
The project featured four integrated map services: Planning, Base Map, Survey, and Image. These services replaced manual processes with automated spatial workflows. Management users could conduct combined spatial and attribute queries to extract actionable insights, while operational users created stormwater runoff / sewer layout plans by drawing lines between sewer points, with automatic distance and direction labeling for field guidance. Additionally, operational users marked survey locations via polygon mapping and generated print-ready layouts. The system automatically emailed PDF layouts to field teams, ensuring alignment between planning and execution.
The outcomes of this project were significant. It improved accuracy by reducing human error in underground stormwater runoff / sewer system planning and survey marking. Operational efficiency was enhanced, with streamlined workflows cutting project turnaround times. Real-time collaboration was also improved, as field teams received precise plans via PDFs. The project laid the groundwork for future digital twin integration by centralizing geospatial data, demonstrating core components essential for such systems: spatial data integration, real-time decision support, and predictive planning.
This project showcased how GIS is a foundational layer for urban digital twins. It enabled data-driven infrastructure management and set the stage for advanced simulations and predictive analytics. The technology stack included ArcGIS Server for spatial data visualization, Oracle 10g with ArcSDE for centralized geodatabase management, .NET Framework for custom workflow automation tools, and jQuery for interactive web mapping interfaces. This project leveraged GIS to support the development of urban digital twins by integrating spatial data, enhancing operational efficiency, and facilitating real-time decision-making.
Qatar World Cup expected a huge footfall on the country’s infrastructure . ASHGHAL , Public Works Authority of Qatar aimed to modernize country’s manual systems for urban drainage, road mapping, and survey operations by establishing a GIS-driven digital framework . This framework automated workflows, improved spatial decision-making, and enhanced collaboration between office and field teams—a precursor to modern urban digital twin systems.
The project featured four integrated map services: Planning, Base Map, Survey, and Image. These services replaced manual processes with automated spatial workflows. Management users could conduct combined spatial and attribute queries to extract actionable insights, while operational users created sewer layout plans by drawing lines between Stormwater / sewer points, with automatic distance and direction labeling for field guidance. Additionally, operational users marked survey locations via polygon mapping and generated print-ready layouts. The system automatically emailed PDF layouts to field teams, ensuring alignment between planning and execution.
The Land Titling Computerization Project (LTCP) initiated by the Government of Philippines to modernize and digitize the country's land records management system throughout the country. Project includes total automation of current manual system followed for maintaining the land records throughout Philippines and development of a Spatial GIS system to improve efficiency, accuracy, and transparency laying foundation for future urban planning and resource utilization.
The project involved georeferencing the Municipal index map of the Philippines, providing a multi-user editing platform with database versioning, and creating a comprehensive query module for various objectives. The project significantly modernized the Philippines' land titling system, leading to improved efficiency in land record management, enhanced accuracy of land parcel information.
Pointlab collaborated with Trapeze and ESRI to capture and maintain transit data for San Francisco and Los Angeles. The system provided:
Real-time transit monitoring, enabling transport administrators to track bus and train locations. Passenger information updates to notify commuters of delays and expected arrival times. Alternative route suggestions to optimize transit operations and mitigate disruptions. This solution significantly improved public transit efficiency by enhancing real-time communication between transit authorities and passengers, reducing service delays, and improving overall rider experience..
Every engineering masterpiece tells a story of innovation, precision, and human ingenuity. At Pointlab Luxury Cars we believe these stories deserve to continue beyond their first chapters. When a Maserati, Lamborghini, or Mercedes AMG faces the threat of a salvage yard—not because its engineering potential is exhausted, but because of market circumstances—we intervene. These aren't just vehicles; they're rolling testaments to the pinnacle of automotive achievement, deserving of continued appreciation rather than premature retirement.
the fashion industry's linear "take-make-dispose" model doesnt not make sense for those who care . We envision a world where clothing circulates efficiently through multiple owners, where "owned" signifies "valued" rather than "discarded," and where the fashion industry operates in harmony with our planet's natural cycles.
At the intersection of experience and foresight stands Pointlab Capital—a strategic investment arm of Pointlab Inc. backed by 15 years of technology deployment expertise. We are not merely investors; we are collaborators, builders, and visionaries who understand the transformative journey from concept to market leadership
Our investment thesis recognizes that early-stage companies need more than capital; they need partners who understand the implementation challenges ahead and can provide strategic guidance through the critical phases of product development and initial market traction.Our focus on DeepTech, AI, and SaaS reflects our commitment to backing innovations that will reshape industries and create exponential value in the coming decade.
Pointlab Capital concentrates on the critical seed stage, providing investments ranging from $100,000 to $1 million USD. This stage—where promising ideas transform into viable businesses—is where our operational expertise adds maximum value.
At Pointlab, our journey reflects both vision and adaptability in an ever-evolving business landscape. What began as a specialized IT and software recruitment firm has transformed into a dynamic ecosystem spanning multiple sectors and continents.
Our foundation in technical recruitment gave us unparalleled insight into talent acquisition challenges within North America's competitive technology markets. As we established our expertise connecting Canadian and American companies with exceptional software talent, we recognized patterns and opportunities that would shape our future direction.
The natural progression into automotive recruitment came as these industries increasingly converged. The modern vehicle is as much a software platform as a mechanical marvel, and our understanding of both worlds positioned us uniquely to bridge this talent gap. We quickly became trusted partners for automotive innovators across North America who sought specialists capable of driving the industry's digital transformation.
This specialized focus led us to recognize the emerging possibilities in circularity within high-end automotive manufacturing. Sustainability isn't just an ethical imperative—it's a business opportunity. Our work in this space has pioneered new approaches to resource utilization, component remanufacturing, and closed-loop systems that reduce environmental impact while enhancing performance and profitability.
Throughout each evolution, we've maintained our commitment to identifying exceptional talent and breakthrough innovations. This perspective naturally expanded our vision toward the startup ecosystem, where we now actively mentor and invest in ventures that align with our expertise and values.
Today, Pointlab operates at the intersection of talent, technology, and transformation. Our investment portfolio spans early-stage ventures rethinking mobility, advanced manufacturing, and sustainable technologies. We don't simply provide capital—we offer the guidance, connections, and strategic insights that come from decades of industry experience.
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