• The Agentic Ai Fabric

    4th Industrial Revolution(IR) builds on the inventions of the Third Industrial Revolution—or digital revolution—which unfolded from the 1950s and to the early 2000s and brought us computers, other kinds of electronics, the Internet, and much more. Industry 4.0 brings these inventions beyond the previous realm of possibility with four foundational types of disruptive technologies:

    • Connectivity, data, and computational power: cloud technology, the Internet, blockchain, sensors
    • Analytics and intelligence: advanced analytics, machine learning, artificial intelligence
    • Human–machine interaction: virtual reality (VR) and augmented reality (AR), robotics and automation, autonomous guided vehicles
    • Advanced engineering: additive manufacturing (such as, 3-D printing), renewable energy, nanoparticles

    The Agentic Ai Fabric

Commercial

Technology

Agentic Digital Infrastructure

Facilitates Augmented Agentic Intelligence© and data integration enabling sharing across diverse domains.

Award-winning Agentic AI specialists who are pioneering advanced, decentralized data fabric and future thinking edge compute applications in various domains, including space, aeronautics, industrial robotics, smart cities, agriculture, natural resource exploration, and many others.

Digital Infrastructure Platform:

  • Enables less technical users to quickly find, access, integrate, and share data.
  • Enables non-programmer subject-matter experts (SME) to participate in the data modeling process and software development team.
  • Automated data transformation and integration offer productivity advantages, freeing up IT resources.
  • Cost optimization is achieved by avoiding the need to purchase multiple tools with redundant or overlapping capabilities.
  • Automated optimization of data integration leads to improved price-performance.
  • Reduces the time taken to access ready-to-use data.

A2DIPS

A2DIPS is an onboard technology stack for operating systems that utilizes real-time data about the position of autonomous vehicles and robotics operating in multi-domain environments to determine safety proximity to a single Stay-In zone, and if desired, one or more Stay-Out zones.

Geospatial boundaries can be derived from established “protected” zones, similar to the aeronautical charts pilots use to delineate airspace boundaries. However, A2DIPS offers a unique approach for autonomous robotics and AI-driven decision support, using geospatial data.