Gigantor has developed a new high performance multi-patented architecture for Edge AI applications, orders of magnitude faster than all currently available CPUs, GPUs, or TPUs.
The performance numbers are faster than anything else for the Edge AI on the market by an order of magnitude or more. Nothing from Nvidia, IBM, Intel, AMD, Tesla or others can run Edge AI inference -- such as Computer Vision -- nearly as fast as our solution.
We speed up inference by 10x and higher, reduce latency by 100x or more, along with reducing power by 10x or more.
Gigantor solves 5 major problems plaguing the industry:
- Speed - Gigantor enables neural networks to operate at sensor or camera speed, with tests of 240 frames/sec without dropouts
- Latency - Typical reduction is 100x or more, which is the response time for an AI
- Frame Size - Models can work with full HD / 4K instead of currently available small frames with limited resolution and scope
- Throughput - Gigantor runs at full sensor/camera speed with no data loss
- Power - Gigantor reduces power consumption by 90% or more
How do we achieve this level of performance?
Gigantor converts the AI model (while maintaining accuracy) into an optimally efficient parallel pipeline circuit, removing inherent bottleneck issues that all CPUs, TPUs, and GPUs have. The results are neural network models (NNMs) that can run as fast as sensor/camera speed, run inference with no data loss, utilizing high speed and resolution HD / 4K video, with negligible latency and vastly reduced power consumption.
The company has raised $2.5M to date (mostly from friends and family to date).
We have $2.5M in revenue, a $120M sales pipeline, and a $25M LOI from L3Harris.
The technology is demonstrable today. Gigantor has been on Advanced AI panels at the Pentagon alongside Nvidia, Intel, IBM, and Ayar Labs. We've had Military Executives and Technology Leaders from the Pentagon visit our offices here in Melbourne FL (Space Coast area) to see our Technology Demos for themselves.
The Founders are deep technologists.
Don Gaspar, (Co-Founder / CEO) is a former Apple engineering lead in the 1980s, has worked in executive ranks managing large globally distributed technology teams over the last 20 years, and has been part of two successful IPOs.
Mark Mathews, (Co-Founder / CTO / Inventor), was Microsoft's 17th employee and programmed Multiplan which later became Excel. Mark has over 30 years experience designing and making chips and has been the author of 7 US patents.
The Gigantor Team includes experienced Two Star Major General, Viet Luong (Ret.), who is managing development of leads across the military channel. Our Team of 12 people includes other experienced technology arena veterans.
Current Customers include a $25M LOI from L3Harris for future chip orders, and paid active contracts with the US Army C5ISR, Naval Research, and a pipeline of $120M of potential deals including Army ground vehicles, AFRL, Boeing Air Dominance and more... Details available under NDA.
The Company's 6 issued patents are online and demonstrable, and the Company has Technical References from L3 Harris and others. The Company has filed for international protection for the critical blocking patents.
Gigantor is also gaining commercial attention outside of defense and aerospace, but these industries have an immediate need to get around the limitations of CPUs/GPUs/TPUs that are holding back progress.
Gigantor is looking for an Investor(s) to assist with cash flow and growth.
We are offering a discounted capped Convertible Note that converts to equity when we do our first equity raise in the near future with a nice discount.
We are currently offering a $1M note with 10% interest, 30% discount and $35M cap. $675k is available still on the note.
Ultimately, the Company is looking to raise larger funds to deliver the technology in a small ASIC that we call a Universal Computer Vision Chip (GaiA), that will be 10mmx15mm, USA made with Global Foundries, and cost $40/unit to manufacture. The $25M LOI from L3 Harris is for 25,000 of these chips at $1000/unit (discounted), we can probably charge the industry $2000-$2500/unit. Additional roadmap items include training cards that can reduce power and help the US dominate AI globally, with our USA designed and produced technology.
Gigantor is seeking savvy Investors to partner with us to change the world of AI on the Edge, and take Edge AI performance to the next level and beyond.