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

  • 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

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

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