Deploy Production-Ready AI Models in 14 Days
Stop fighting with slow frame rates, missing dependencies, and TensorRT conversion errors.
We provide fixed-bid AI deployment that transforms your trained models into high-performance engines. If your model isn't deployed and performant in 14 days, we work for free until it is.
A Trained Model is Useless if it Can't Run in Real-Time
Every time your model drops a frame or exhausts system memory, you aren't just facing an optimization bug—you're risking your product's viability.
Senior engineers waste weeks fighting TensorRT conversion errors and 'unsupported layer' logs instead of refining your core AI features.
High latency leaves your team guessing whether the bottleneck is in the preprocessing, the GPU-to-CPU copies, or inefficient INT8 quantization.
System resources are wasted as VRAM usage spikes, causing the system to kill the process because the engine isn't properly utilizing the Deep Learning Accelerator (DLA).
The 'just run it in a container' approach becomes your most expensive liability when your real-time system can't keep up with real-world data.
What We Deliver
TensorRT Optimization
FP16 and INT8 quantization for maximum throughput
DLA Mapping
Offload inference to Deep Learning Accelerator
Multi-Stream
Concurrent inference on multiple video streams
Custom Plugins
Implement unsupported layers as plugins
DeepStream
End-to-end video analytics pipelines
Performance Tuning
Batch size and memory optimization
Go From Slow Inference to Real-Time Performance in 14 Days
We act as an elite extension of your AI team, delivering an optimized, hardware-accelerated inference engine.
Unlock Real-Time Inference
Stop settling for low frame rates that lag behind reality. We turn research-grade AI models into high-speed inference engines.
Fixed-Bid Guarantee
Eliminate the risk of open-ended optimization costs. 14-day delivery guarantee—if your engine isn't performant, we work for free.
14 Day Delivery
Most AI teams spend months fighting TensorRT conversion and layer compatibility. We compress that into two weeks.
Complete Hands-Off Optimization
Eliminate the internal burnout of low-level CUDA and TensorRT debugging. We handle INT8 quantization and DLA mapping.
Our Guarantee
Deployed model: performant in 14 days or we work for free—plus 50% off for the delay.
How To Deploy Your Model in 2 Weeks
Book Your 15 Minute Discovery Call
We'll discuss your model architecture and performance targets to ensure your project is a perfect fit for our optimization protocol.
We Build Your Inference Engine
We handle the TensorRT conversion, precision tuning (FP16/INT8), and hardware mapping to ensure maximum throughput.
You Start Shipping High Speed Inference
Your team takes over a validated, hardware-accelerated inference engine with full documentation, allowing immediate deployment.
What Clients Say
"We had been blocked for several weeks trying to get USB working on our custom carrier board with JetPack 6. ProventusNova stepped in and resolved the issue in under a week."
"ProventusNova helped us bring up a third-party carrier board under tight timelines. In a one-hour working session, they answered all our questions and got the board booting in minutes."
"We needed critical USB fixes ported to JetPack 5, and ProventusNova delivered in just 10 hours. The fast turnaround helped us avoid delays."
Everything You Need to Know
Can you handle custom layers that TensorRT doesn't support?
What happens if the model doesn't hit the target FPS in 14 days?
Do you work with YOLO, transformers, and other architectures?
Does this include DeepStream integration?
Which Jetson modules do you support?
Stop Settling for Low Frame Rates
Book a free 15-minute discovery call. We'll map out your model requirements and performance targets.
Book Your Discovery Call