Analytics Fire started with a simple goal:

"To help innovative smart device manufacturers bring complex system products to market."

In order to do this, we've developed a laser-like focus on all the specific skills necessary to design, build, and maintain complex IoT applications, while simultaneously developing a technology-agnostic practice that requires mastery of both the newest modern technologies (eg: MQTT, Cassandra, and React.js) as well as stable platform technologies already in place throughout the enterprise (eg: SCADA, PI Server, Salesforce Platform, and others).

Analytics Fire has three practice areas:

Analytics Fire practice areas:

Application Development

• Application Development — Fully managed end-to-end project management
• Development across the entire IoT technology stack:
  • Highly scalable back-end cloud/server development
  • Front-end UI/UX development
  • Embedded development
• UI/UX and graphic design for beautiful customer-facing portals and dashboards
• Integration

Application Maintenance

• Application Maintenance — 24x7 application monitoring and support
• DevOps automation
• Networking, security, and integration
• SLA-based MSA

Data Science

• Data Science and Machine Learning
• Machine learning and vision processing for embedded robotics
• Natural language processing and dialogue based systems
• Customer acquisition analytics and marketing analytics
• Predictive maintenance (eg: P/F curve) analytics