Build Your Enterprise AI Platform, Deployed at the Edge

We build the full software stack for mission-critical Edge AI. Our core expertise includes:

  • Integrating production-grade hardware
  • Deploying optimized AI models
  • Ensuring real-world speed and reliability

The Enterprise AI Dilemma: Cloud Limitations vs. Edge Complexity

The Limitations of Cloud-Only AI

A cloud-only approach creates serious risks for mission-critical applications.

  • High bandwidth and storage costs
  • Major data privacy and security concerns
  • Unacceptable latency for real-time decisions

Building for the Edge is Hard

Building a reliable and scalable edge infrastructure is a massive engineering challenge. It requires deep, full-stack expertise that most teams lack, including:

  • Specialized hardware selection and integration
  • Custom operating systems and drivers
  • Complex AI model optimization

Your End-to-End Edge AI Infrastructure Partner

We provide a four-phase process to design, build, and deploy a scalable AI platform tailored to your enterprise needs.

1. Strategy & Architecture

We work with your team to design a robust and scalable Edge AI architecture.

2. Hardware & Infrastructure

We specify and configure your complete hardware stack, from sensors to the core compute platform.

3. Platform Software

We build the foundational software to manage your fleet and deploy your optimized AI models.

4. Integration & Scalability

We integrate the edge platform with your cloud services (AWS, Azure) and perform rigorous testing.

Case Study: A Scalable AI Safety Platform for Heavy Machinery

The Challenge

A client in the heavy machinery sector faced a critical safety challenge.

Their massive vehicles created significant operator blind spots, posing a constant risk to personnel.

They needed a flexible AI platform. The solution had to be reliable and scalable across their entire fleet.

 

Our Solution

We engineered a standardized, ruggedized Edge AI infrastructure. The core of the system was a powerful NVIDIA AGX Xavier board.

This common platform allowed our client to rapidly deploy new AI safety features across different vehicle types, saving significant development time.

 

Technical Snapshot

  • Hardware: Rugged NVIDIA AGX Xavier, 4x GMSL Cameras
  • OS: Custom Embedded Linux (Yocto)
  • Tech Stack: Python, GStreamer, CUDA, Computer Vision

Key Result

100%

Elimination of Critical Operator Blind Spots

Expertise You Can Rely On

Why Proventus Nova?

Direct Expert Access. You work directly with the senior engineers building your platform. No project managers, no communication delays.

True Full-Stack Expertise. We master the entire stack. From low-level hardware drivers to your complex cloud backend.

Focus on Mission-Critical. We solve the hard problems. Our expertise is in building robust, enterprise-grade systems that must perform flawlessly in the real world.

Frequently Asked Questions

Cloud AI vs. Edge AI: Which is right for us?

We help you find the optimal balance. Each has a clear role:

Cloud AI: Best for model training and big data analytics.

Edge AI: Essential for low latency, data privacy, and reliability.

We are experts at designing hybrid solutions that deliver the best of both.

What hardware do you specialize in for AI infrastructure?
We are hardware-agnostic and focus on the right tool for the job. Our team has deep expertise in the entire NVIDIA Jetson family, from the Nano to the AGX Orin. We always build with rugged, production-grade hardware.
How do you ensure the AI platform is scalable?

We design for scale from day one. Our architectural approach ensures you can easily manage and update a fleet of hundreds or thousands of devices. Key tools include:

  • Containerization (Docker)
  • Common software architectures
  • Robust fleet management solutions
Can you integrate with our existing cloud services?

Yes. Seamless integration is a core part of our service. We ensure your edge infrastructure communicates perfectly with your existing cloud backend (AWS, Azure, etc.) for:

  • Data logging and analysis
  • Remote management
  • Over-the-air (OTA) updates

Ready to Build Your AI Infrastructure?

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