Accelerate Market Momentum with AI-Driven Insights
Global Technology Company
What we did
AI
IoT
UI/UX
Web
Development
Client
Global Technology Company
Completion
10.31.2025
Empowering an IoT Innovator to Accelerate Market Momentum with AI-Driven Insights

Our client was looking to launch an AI-driven IoT platform designed to unify device data, streamline integration, and reduce time-to-insight. The platform needed to be technically robust and scale to meeting their large customer demands. The project faced four critical challenges:

  • Accelerating customer adoption by removing traditional IoT platform complexity
  • Ensuring onboarding is intuitive for both technical and non-technical users
  • Establishing a clear demonstration of value that showcased real-time insight generation
  • Creating a scalable framework that partners and enterprise customers could build upon

The goal was to create a scalable approach that would help customers move from device connection to actionable intelligence in minutes—without requiring specialized knowledge.

Our Approach
Skylytics collaborated closely with the client’s engineering and go-to-market teams to develop a refined set of requirements and architectural designs for the new platform. With the clients goal of 'any data, any device', Skylytics deployed Large Language Models (LLMs) to quickly process incoming data, allowing for on-demand chatbot driven visualizations.
Onboarding Flow Optimization
Skylytics designed a streamlined AI guided setup that walks users from device registration to dashboard visualization with minimal effort. This process significantly reduced configuration steps and improved platform accessibility.
Onboarding Flow Optimization
Skylytics designed a streamlined AI guided setup that walks users from device registration to dashboard visualization with minimal effort. This process significantly reduced configuration steps and improved platform accessibility.
Real-Time Insight Framework
An AI driven data processing layer was created to generate insights immediately after a device connects. Integrating LLM's into the processing pipeline, the platform auto-provisions and auto-parses new devices dynamically, removing the complexity of device identification and registration.
Real-Time Insight Framework
An AI driven data processing layer was created to generate insights immediately after a device connects. Integrating LLM's into the processing pipeline, the platform auto-provisions and auto-parses new devices dynamically, removing the complexity of device identification and registration.
AI Generated Visualizations
Using an AI Chatbot interface, users can prompt the platform to quickly visualize data and build dashboards without the need to manually create UI components.
AI Generated Visualizations
Using an AI Chatbot interface, users can prompt the platform to quickly visualize data and build dashboards without the need to manually create UI components.
Scalable
To support rapid expansion, Skylytics defined a modular data architecture that allowed new device types, data streams, and analytics modules to be added without disrupting existing deployments.
Scalable
To support rapid expansion, Skylytics defined a modular data architecture that allowed new device types, data streams, and analytics modules to be added without disrupting existing deployments.
Multi-Tenant
Built-in support for multiple clients, locations and teams with full permission and role management.
Multi-Tenant
Built-in support for multiple clients, locations and teams with full permission and role management.
Following the platform’s announcement, the company experienced a 25% increase in its stock price, driven by strong early market adoption and a clear need for intelligent device integration.
Chief Revenue Officer
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