🚀 New Partnerships: Proud members of NVIDIA Connect Program and MediaTek’s ecosystem.
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🚀 New Partnerships: Proud members of NVIDIA Connect Program and MediaTek’s ecosystem.

the problemMost EdgeAI startups don’t fail because of the actual AI models.

They fail because their
embedded software
isn’t ready for production

We know what is like to have all the HW ready to start testing your AI model on your embedded device but have it be a pile of problems one after the other. Ending up with a frustrated team of engineers who feel like they are wasting their expertise on tasks that should not even be part of their scope.

Launch On Time · Launch On Budget · Launch On Spec · 
Launch On Time · Launch On Budget · Launch On Spec · 
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the solutionThe "Software Strike Team" Your Hardware Deserves

We don’t just write code; we deliver a finished, tested, and reliable launch-ready software stack.

“For the past 8 years I have been working with embedded systems — from underwater ROVs to wall-mounted healthcare devices. I realized that while every device is unique, they all follow a universal structure. Every time a Founder or CTO reaches out for help, they are stuck on a layer of that exact structure.”
— Andres Campos, CTO & Co-Founder at ProventusNova

We’re tired of seeing brilliant ideas get stuck on the same software bottlenecks. We built this offer to ensure you don’t miss your market window and launch a reliable device on time.

We don’t start from scratch. We use a modular development architecture designed specifically for Computer Vision and AI at the Edge. By using our pre-built “Foundational Layers,” we bypass the trial-and-error phase that eats up 30% of an in-house team’s time.

Earn your client's trust with a reliable device.

Your reputation is built on uptime. We deliver a bulletproof software stack that doesn’t just work—it excels under field pressure. Ensure your users and investors stay confident in your vision with a product that is “Rock-Solid” from Day One.

Guarantee your project succeeds with expert help.

Eliminate “best-effort” engineering. With our fixed-bid model and 8+ years of specialized embedded experience, we shift the technical risk from your shoulders to ours. We don’t “try” to launch; we execute with the certainty of having done this 100 times before.

Launch so fast it feels unfair for your competition.

Cut your development cycle by 30%. While your competitors are still stuck in the “trial and error” phase of their foundational code, our modular architecture puts you in the market in 15 weeks—months ahead of the curve.

Free your team to focus on what makes your product unique.

Stop managing developers and start scaling your business. We handle the complex, heavy lifting of the software stack (Firmware, Media, AI) so your in-house team can focus 100% on the proprietary features that actually differentiate your product.

User stories: hear what others love about ProventusNova!

Bongjin Raum Jeong
CEO & Hardware Engineer
UncommonLab

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, allowing us to move forward with validation and development.

Milan Young
CTO & Founder
Farmhand AI

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. Their deep platform knowledge and hands-on approach saved us days of trial and error.

Haneul Louis Yoon
CFO
UncommonLab

We needed critical USB fixes ported to JetPack 5, and ProventusNova delivered in just 10 hours. The fast turnaround helped us avoid delays and unnecessary engineering costs while keeping the project on schedule.

Aiswarya RaniBioTech ResearcherCSIR-IGIN

Working with ProventusNova felt like having an extension of our own team. When we were stuck setting up our edge AI device, they provided not just solutions, but true expert guidance. Their collaborative approach, including jumping on video calls whenever needed, was invaluable. They possess a deep understanding of the NVIDIA Jetson platform and equipped us with a perfectly tailored development environment for our biotech needs. They are a first-rate technical partner.

Everything you need to know about

Choosing the wrong hardware is the most expensive mistake you can make. We start every project with a Hardware Audit. We analyze your AI model complexity (TOPS), power constraints, and thermal requirements to find the “sweet spot.” Whether it’s an Orin Nano for cost-efficiency or an Orin AGX for massive compute, we ensure you don’t pay for power you don’t use, or get stuck with a device that lags.

 

Building an in-house team requires months of recruiting and high salaries for specialized embedded AI engineers. By hiring us, you bypass the learning curve. You get a “plug-and-play” team of experts who have already solved the specific driver, thermal, and optimization issues you’re facing. We deliver in weeks what usually takes an internal team months to figure out.

We believe in proving our value before you commit to a long-term engagement. That’s why we offer a Risk-Free First Milestone. Once we deliver the first phase of the project, you have the opportunity to evaluate the quality of our work, our communication, and the value we provide. If you aren’t 100% satisfied with the results at that stage, we will issue a full refund —no questions asked. This ensures you can “test-drive” our expertise without any financial risk.

While we don’t offer physical PCB design or electrical engineering, we specialize in the most difficult part: making the hardware “talk” to the software. If you choose a third-party carrier board or custom sensors (LIDAR, specialized IMUs, etc.), we handle the Board Support Package (BSP) customization, kernel modifications, and driver development required to make them work. We ensure that your custom hardware is fully recognized by the Jetson ecosystem so your application can access every feature without bugs.

Multi-camera capture is where most projects fail due to driver conflicts and frame drops. We have deep expertise in V4L2 and GStreamer. Whether you are using GMSL2, FPD-Link, or USB3, we handle the complex driver development and hardware synchronization required to ensure zero-latency, frame-perfect capture across all your sensors.

A “messy” application can quickly hit 100% CPU usage and crash. We optimize your pipeline using hardware acceleration—utilizing the GPU, the DLA (Deep Learning Accelerator), and specialized hardware encoders. We move the heavy lifting off the CPU to ensure your application runs cool, fast, and with minimal latency.

Hardware development is iterative. If you decide to switch sensors or upgrade your Jetson module halfway through, we pivot with you. Our Agile Development approach means we work in short sprints, allowing us to adjust the technical roadmap without scrapping the entire project.

We thrive where documentation ends. Our team has “battle-tested” experience with the Jetson ecosystem; we’ve likely already solved the exact bug or driver conflict you’re currently stuck on. We don’t just guess; we use hardware debuggers and kernel-level analysis to fix issues that forums and standard support channels miss.

If your device operates in the field, it needs to be secure and accessible. We implement Secure Boot and disk encryption to protect your IP. For remote operation, we build low-latency video pipelines (WebRTC/RTSP) and robust OTA (Over-The-Air) update systems so you can manage your fleet without ever needing to physically touch the devices.

We focus on Rapid Prototyping. Depending on the complexity, we typically deliver a functional “Proof of Concept” or your first major milestone within 2 to 4 weeks. We believe in showing progress early and often so you can provide feedback before we move into deep production.

We don’t need to start from scratch. We can take your existing Python scripts or “lab code” and refactor them into a production-grade C++ or optimized Python application. We specialize in Legacy Porting, ensuring your current AI models and logic work perfectly on the new Jetson hardware.

Our core model is Fixed-Bid Milestones. We believe you should pay for outcomes, not hours. This ensures your budget is 100% predictable and our goals are perfectly aligned. For early-stage R&D or long-term maintenance where the scope is still evolving, we can discuss hourly or retainer-based support—but for most projects, we provide a clear, fixed price for every phase of development.

let's get startedReady to kickstart your EdgeAI Project?

Book a 15 minute discovery call with us and let’s see if your project qualifies for our offer.

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USA, Wyoming, Cheyenne
1603 Capitol Ave

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