PetalNet™ FAQ
Everything investors, partners, and decision-makers need to know
What is PetalNet™?
PetalNet is a new AI architecture built specifically for edge environments. It features 1TB of persistent unified memory, a decentralized mesh of chiplets, and a smart Co-Pilot scheduler that runs AI locally with ultra-low latency and no need for cloud connection.
How is it different from a GPU or TPU?
GPUs are built for centralized data centers. PetalNet is designed for edge-first environments. It has sub-1ms latency, no dependence on external memory, and does not need internet to operate. It is modular, power-efficient, and sovereign by design.
Can it train models or only do inference?
PetalNet is optimized for real-time inference. It also supports on-device fine-tuning and limited training for applications like federated learning or autonomous adaptation.
How does it handle heat and power limits?
PetalNet uses lightweight, thermally aware chiplets. The Co-Pilot AI scheduler dynamically adjusts task flow to balance performance and energy, making it suitable for drones, satellites, embedded devices, and mobile robotics.
Market & Use Cases
Where can PetalNet be deployed?
Anywhere that cloud-based AI is limited or impossible. Key applications include drones, smart cameras, military systems, telecom infrastructure, autonomous vehicles, and satellites.
What is the total market size?
The Edge AI market is expected to exceed $100 billion by 2030. PetalNet targets the segment where existing AI hardware fails: disconnected, offline, power-sensitive environments that demand real-time decision-making and full control over data.
Roadmap & Execution
What stage is PetalNet at right now?
The architecture is finalized. The FPGA prototype is in progress. A provisional patent was filed in May 2025. Government grant applications are underway. The goal is to complete a working prototype by late 2025 and move toward chip tape-out in 2026.
Do you have a team?
The company is led by a deep-tech founder with experience in systems design and AI. The core team is expanding through strategic hires, collaborations with universities, and upcoming engineering grants.
Is there any traction?
Yes. The project has secured government interest and is progressing through IRAP and SDTC funding channels. There is interest from defense and drone tech companies, and partnerships are forming with edge-first OEMs.
Intellectual Property
Is PetalNet protected by patents?
Yes. A provisional patent was filed in May 2025. It covers unified persistent memory architecture, the mesh coordination logic, chiplet-based hardware modularity, and the Co-Pilot AI scheduler. Full patent filings are in development.
What’s your moat?
PetalNet is purpose-built for edge conditions. It offers features that GPUs and TPUs cannot support: persistent memory, sub-1ms response, no cloud requirement, and fully sovereign deployment. This is not a retrofitted architecture. It’s custom-built to dominate where others cannot even operate.
Investment
What are you raising?
We are securing $2 million CAD through non-dilutive Canadian grant programs. We are also open to private investment to accelerate hardware prototyping, hires, and partner integrations.
Why should I invest now?
The design is patent pending. The market is underserved. The use cases are exploding across defense, telecom, health, energy, and automation. PetalNet solves real-world constraints that no current GPU or TPU platform can address. Early investors enter before a high-growth inflection point.
How do I invest or partner?
Use the contact form to request the investor pitch deck or set up a direct call. We also have limited openings for government pilot projects and edge hardware OEM collaborations.