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Conexus AI

United States
2015
Private
< $10m
11 - 50
Open website

Conexus is the recognized leader in Composible Engineering Design. The Conexus patented software platform--built on top of the Robustness of breakthroughs at MIT in the mathematics of Category Theory--guarantee the integrity of Universal data models. In environments where model failure has high-consequence, Conexus implementations provide Assurance against logical contradictions in complex systems ranging from engineering workflow to communications infrastructure. Risk of failure can be materially reduced over current best practices of system Assurance, integration project timeline confidence both shortened and made more reliable, and business decision speed and accuracy improve while resources are reduced. "Changes in system complexity is moving beyond what is comprehensible by humans. This is why we need Conexus." -Fortune 50 client. Modernization projects have very high failure rates--dangerous to organizations--and to careers. At the heart of these failures is a misunderstanding about the data’s true structure. Architects informing these projects make decisions based on how the databases were originally designed. They have a limited view into how they are now used. Conexus transforms with Assurance and emits to wherever a user wants.

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Conexus AI ’s Technology Stack maps Conexus AI ’s participation in the IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
None
Minor
Moderate
Strong
Number of Podcasts1
EP 198 - Rethink Database Design for the AI Era - Eric Daimler, CEO & Co-founder, Conexus AI
Friday, Jan 12, 2024

Today, we have Eric Daimler, the CEO and co-founder of Conexus AI. Conexus AI serves as a hybrid generative AI platform, facilitating reliable and rapid digital modernization, empowering enterprises to seamlessly migrate, integrate, and transform their IT systems.

In this episode, we delve into the utilization of category algebra to implement a domain-driven approach to interoperability. This approach focuses on computing the optimal data model rather than relying on manual design. Additionally, we explore the common issue of architects misunderstanding the practical structure of databases, leading to the failure of IT programs, as opposed to adhering to their originally intended structures.

Key Discussion Points:

  • What key concepts, such as data mesh and strategies, should companies consider when building the right architecture to effectively leverage their data assets?
  • How does Conexus AI help companies facing decentralized data challenges?
  • What does the before-and-after scenario look like in terms of data usage and outcomes?

To learn more about our guest, you can find him at:

Website: https://conexus.com/

LinkedIn: https://www.linkedin.com/in/ericdaimler/

 

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