IQSat: World’s First AI-enabled PicoSat

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As the first AI-enabled picosatellite (PicoSat) constellation platform, IQSat is engineered to facilitate the successful implementation of edge AI in space, with AI processing on the satellite itself, proving the platform’s ability to reduce latency, cut bandwidth costs and deliver faster decision-making capabilities as well as validating the processing of its AI/ML high-order low-resource learning (HO-LRL) algorithms for real-world applications. This is a major differentiator in satellite intelligence.

Unlike traditional satellite systems that passively collect data, downlink to surface and then process on earth, IQSat actively analyzes data in orbit. The IQSat detects patterns, anomalies and changes in behavior as they happen, not just after the fact, providing a predictive edge across industries. Not only is this a groundbreaking shift for military and defense applications, but also for a range of other areas including wildfire detection, public safety and environmental monitoring. This broad applicability across various industries and applications underscores the platform's versatility and effectiveness in providing tailored, actionable insights for a range of high-stakes applications.

For defense intelligence, specifically, IQSat provides a small, low-cost solution, yet can deliver critical information on over the horizon threat locations, directions and velocities in any area of interest, at tactically significant update rates, directly to the warfighter.

Leveraging Intuidex’s Watchman for Space, the IQSat platform is on-orbit upgradable, dynamically updating its incident, event, object or threat detection priorities to meet ever-changing mission by autonomously updating the pattern of life events. Additionally, IQSat offers the industry’s first common payload interface designed to host multiple payloads on a single flexible electrical and mechanical interface, allowing for quick and standardized designs to reduce cost, NRE and time to launch.

Using onboard AI and ML, IQSat analyzes data directly while in space, drastically reducing the time between data collection, labeling, training and actionable insight. What once took hours or days can now happen in real-time in space. This revolution in space-based computation is pioneering the future of space intelligence and transforming how we understand and respond to our world. IQSat is small enough to be held in the palm of your hand and can be deployed in a constellation of five to thousands. Simply put, a solution like IQSat has not existed before.

The IQSat provides mission flexibility for quick and cost-effective constellation design, reducing delivery time and cost of custom sensing picosatellites and constellation configurations. This enables rapid development and affordable deployment of a constellation of five to thousands, mitigating risk and ensuring redundancy.

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  • About the Entrant

  • Name:
    Pratish Shah
  • Type of entry:
    team
    Team members:
    • Pratish Shah
    • John White
    • Steven Le
    • Shine Ho
    • David Liu
    • Daniel Chang
    • Eddie Chang
    • Jonathan Wong
    • Duncan McMillan
    • Matthew Thume
  • Software used for this entry:
    Intuidex: IQSat utilizes the Intuidex Watchman Analytics™ platform that delivers effective analytic tools to discover and detect relevant content, utilizing Higher-Order Low-Resource Learning™ (HO-LRL™) data modeling technology.
  • Patent status:
    none