Business Strategy

From a business perspective, correctly identifying which use case(s) provide the greatest return at the least risk is important. We will work with you to identify and prioritize those payload sensors and analytics that have the greatest impact on operational return, safety or performance. Once identified, proof-of-concept pilots will help confirm value and enable scale-up of operations from flight planning to data visualization.

Scale-up requires close coordination of teams, equipment, projects, and flights enabling automated access to controlled airspace and digital system of record. We will help you develop a proof of concept and create efficient workflows for fleet management. We also assist with payload processing, data aggregation, integration and analysis.

Standardized flight procedures are that conform to public regulations are necessary for public safety and security. Flight modelling and operational checklists ensure operational integrity before launch. With large scale operations in remote areas, alternatives may be required for continuity of service and data quality. We help identify alternatives that enable seamless and controlled surveys. Comprehensive business planning, operations documentation and staff training will make remote aerial fleet operations repeatable and sustainable, increasing returns over time.

Project Management

We help manage flight operations and data collection from start to finish, including:

  • Fleet-as-a-Service – procurement or short term leasing of aerial fleet for remote surveys
  • Payload-as-a-Service – procurement or short term leasing of payload sensors
  • Flight Planning – flight modelling of large-scale deployment over wide area
  • Regulatory Approval – from national airspace authority for flight operations
  • Logistics – resource coordination and contingency planning

Payload Analytics and Visualization

We help process observation data into actionable insight, including:

  • Data aggregation – from aerial vehicle to cloud infrastructure
  • Data analytics and visualization – changing data into intelligence
  • Data integration and archiving – multiple data sources into a single platform