About

SCALE APP is a technology company specializing in the development of GIS and remote sensing applications with a focus on efficiency and scalability. Our team delivers end-to-end geospatial solutions that integrate GIS and remote sensing technologies to support various operational needs. We develop comprehensive GIS-based systems and remote sensing applications tailored to industry-specific requirements. Our solutions provide real-time insights, improve asset management, and optimize infrastructure monitoring. Additionally, we design and implement observability tools to ensure seamless performance and operational transparency for geospatial applications. Technical Expertise •GIS Applications for Ports: Development of GIS-driven solutions for port authorities to enhance operational efficiency, asset management, and logistics planning. •Remote Sensing for Infrastructure Monitoring: Implementation of remote sensing technologies for real-time monitoring of critical infrastructure, ensuring safety, maintenance, and predictive analytics. •AI & LLM-based Systems Integrated with EO Scientific Backends: Development of large language model (LLM)-based systems that interact with Earth Observation (EO) scientific backends, providing enhanced data analysis and decision support capabilities. •Observability Tools for GIS Applications: Provision of observability tools that enhance visibility and performance monitoring of GIS applications.

Solution & Product

SPHEROID is an observability and debugging tool designed specifically to support companies working on Earth Observation (EO) applications. It ensures their systems are reliable, scalable, and capable of smoothly transitioning from experimental phases to fully operational environments, while also accelerating development by providing tools that streamline workflows and speed up problem resolution. Unlike generic IT observability tools, SPHEROID is purpose-built for EO workflows, trained to "speak the language" of remote sensing and geospatial applications, managing the entire lifecycle of EO applications. > Monitoring and Alerting: SPHEROID provides a complete set of monitoring and alerting tools, powered by an AI-driven system uniquely trained on EO components logs, file types, and workflows. > Debugging and Traceability: SPHEROID simplifies the challenge of debugging in remote sensing (RS) workflows by bringing together logs, errors, metrics, traces and warnings into one easy-to-use interface. > Performance and Security Tuning: In addition to monitoring and debugging, SPHEROID includes AI-enhanced features for improving performance and strengthening security. See more : https://scaleapp.tech/main/spheroid_presentation.html

Innovation & Scalability

Observability tools for EO and GIS infrastructures are either inadequate, requiring extensive customization, or simply do not speak the language of geospatial systems. Existing solutions fail to address the unique challenges of monitoring EO and GIS infrastructures efficiently, leading to fragmented workflows and increased operational complexity. Spheroid is designed from the ground up to bridge this gap, providing a seamless observability layer specifically built for EO and GIS applications. Unlike generic monitoring tools, SPHERODI is AI-Trained to understand geospatial data structures, logs, errors and metrics and integrates with EO scientific backends natively, and provides real-time insights tailored to GIS workflows. The universal nature of EO and GIS technology stacks enables SPHEROID to be deployed globally from day one, without the need for extensive adaptation. It is built to scale dynamically across diverse infrastructures, ensuring performance, reliability, and immediate usability regardless of deployment environment. With built-in interoperability, Spheroid eliminates the need for costly and time-consuming integrations, allowing organizations to focus on deriving insights rather than managing complex monitoring configurations.

Traction & achievements

SPHEROID is currently at the MVP stage, having evolved from a custom-built monitoring and observability solution tailored to the specific needs of a single client. The existing iteration has already demonstrated its functionality in EO-based workflows, particularly in Fire Weather Indexes and in-situ data integration. This foundational experience serves as the basis for developing a broader and more versatile SPHEROID platform. We are now actively working on transforming it into a horizontal SaaS platform, enabling scalability on a global level.

Team & Why Us

SCALE APP consists of a highly specialized team of Earth Observation Solutions Architects, GIS Developers, and AI Engineers with extensive experience in IT development for geospatial applications. Unlike general web development teams, we focus exclusively on GIS and EO technologies, utilizing specialized tools and frameworks designed for geospatial data processing and analysis. Our expertise ensures that our solutions are optimized for handling spatial data efficiently, integrating real-time remote sensing inputs, and providing advanced analytics tailored to domain-specific needs.

Funding Needs

We are developing SPHEROID, an advanced observability and debugging tool designed specifically for companies working on Earth Observation (EO) applications. Unlike generic IT observability tools, SPHEROID is purpose-built for EO workflows, trained to “speak the language” of remote sensing and geospatial applications. It ensures EO systems are reliable, scalable, and ready to transition seamlessly from experimental phases to full-scale operational environments. By streamlining workflows and accelerating problem resolution, SPHEROID helps EO teams reduce downtime and improve efficiency across the entire application lifecycle. Currently, our solution is custom-built for specific clients. To unlock its full potential and enable global adoption, we need funding to transition SPHEROID to a SaaS architecture. This transformation will allow organizations worldwide to purchase a subscription, download, and deploy SPHEROID on their own infrastructure with minimal setup effort. By making the platform easily accessible as a scalable SaaS solution, we aim to bring powerful EO observability tools to a broader market, driving innovation and efficiency in the geospatial industry.