Very scalable and adaptable to industries and needs with DevOps solutions and microservice architecture.
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Safety First for the Oil & Energy Industry and EX environments with IoT
Spotsie, an ATEX-certified IoT-based location system, brings safety to indoor and outdoor operations, even in extreme environments. Scalability, better visibility and enchanced data-driven operations boost efficiency and identify optimization areas.
CLIENT NAME
Spotsie
INDUSTRY
IoT
TECHNOLOGY
Go, Java, TypeScript
SERVICES
Custom Software Development
METHODOLOGY
Agile, Kanban, Scrum
DURATION
2019 - Ongoing
LOCATION
Croatia
TEAM NO.
4
The Client
Spotsie is an IoT company offering custom RTLS solutions for Industry 4.0 companies. Harnessing the power of hardware and AI-powered software, it provides real-time insight into the movement of assets and people.
The Challenge
The client required a scalable solution to manage fluctuations in customer and data traffic. To minimize delays in achieving their goals, they planned to implement a Kanban system and effective project management practices.
The Solution
Notch built a scalable, microservices-based platform that connects Spotsie’s BLE devices, gateways, and cloud into a unified system, enabling real-time data collection, workflow automation, and location-based enforcement, while supporting rapid iteration and predictive AI capabilities.
Project Goals
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1Optimize workflowsCollect data to optimize workflow by minimizing roadblocks.
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2Enhance safetyImprove safety standards by obtaining an ATEX certification.
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3Industry adaptabilityReiterate continuously, to adapt the solution to various challenges.
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4Location automationAutomate security enforcement through real-time positioning.
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5Predictive AI insightsEnable predictive AI with real-time Spotsie grid data.
What does the client say?
Matej Zelic
Spotsie // COO
“Notch helped us develop a robust and scalable RTLS solution that meets the specific needs of our industry. We brought Spotsie to market quickly and efficiently, staying ahead of the competition, overcoming technical challenges, and ensuring the solution’s long-term success.”
Process
01
Requirements consulting
Analyzing current operations, requirements management, and traffic patterns to define what a scalable, data-heavy BLE solution must support.
02
AI Discovery
Exploring how real-time BLE data can power automation, safety use cases, and predictive AI, then prioritizing the most valuable ideas.
03
UX/UI Design
Designing interfaces for workers and back-office users to monitor assets, enforce rules, and act on location-based insights in real time.
04
Custom software architecture
Defining a microservices and DevOps-ready architecture that connects gateways, beacons, and the Spotsie Cloud for scalable data processing.
05
Agile and Kanban enablement
Implementing Kanban and Scrum coaching to manage fluctuating workloads, shorten feedback loops, and reduce delivery delays.
06
Minimum viable product
Building and validating a focused MVP that proves real-time tracking, safety enforcement, and operational visibility with selected clients and use cases.
07
Continuous improvement and scaling
Supporting ongoing optimization, extending features across industries, and maturing predictive AI models based on live operational data.
Technologies & Services
Go
Java
Typescript
Node.js
Python
C
Android
iOS
Requirement Consulting
AI Discovery
Scrum Coaching
UX/UI Design
Custom Software Development
Minimum Viable Product
