Pratexo is hiring!
We value people who dare to think big and can imagine the impossible. We are expanding so if this sounds like you, learn more about our open positions!
Pratexo is an Intelligent Edge Computing and Distributed Cloud Platform
Pratexo dramatically accelerates the design, testing and implementation of distributed architectures required for next-gen applications.
Based on open and proven technologies, Pratexo configures and provisions a resilient and secure platform to meet the specific needs of your application.
Why Pratexo?
Transformative applications must be able to sense, analyze, and take action on massive amounts of data in real time.
This requires a distributed cloud where critical capabilities of a cloud service are delivered at multiple locations, near the edge.
Overcoming the Challenges
Creating and deploying such architectures and applications is complex and challenging.
Applications that run initially often fail at scale and under challenging, real-world conditions.
Why Pratexo?
Transformative applications must be able to sense, analyze, and take action on massive amounts of data in real time.
This requires a distributed cloud where critical capabilities of a cloud service are delivered at multiple locations, near the edge.
Overcoming the Challenges
Creating and deploying such architectures and applications is complex and challenging.
Applications that run initially often fail at scale and under challenging, real-world conditions.
“Pratexo sends the algorithm to the petabyte, not the petabyte to the algorithm”
Only Pratexo…
Is fundamentally open –
no black boxes
Is adaptable with an architectural configurator
Is built secure from
the ground up
Is resilient
via distributed computing
Is scalable to handle extreme data volumes
Is proven in the field
Possibilities
Pratexo architectures are best-suited to these types of situations:
Complex environments
Large numbers of assets and sensors
Escalating data flows
Require actions to be taken in real-time
Plan for autonomous, intelligent systems with AI/ML
System resilience/reliability is critical
