Don Gaspar
CEO
GT
Gigantor Technologies
6/10Traction
Gigantor Technologies utilizes its patented GigaMAACS technology to enhance the performance of machine learning and AI models by removing hardware limitations, enabling real-time processing of ultra-high definition visuals with near-zero latency. This solution significantly reduces power consumption by 90% compared to traditional GPUs, allowing for larger, more capable models in edge AI applications.
- Aerospace
- Artificial Intelligence
- Autonomous Vehicles
- Defense Tech
- Enterprise Software
- Hardware
- Industrial Automation
- Robotics
Updated 4 months ago
Funding
Raised to date
$2.2MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Florida FundersNo round attributed
- floridafunders.com (opens in a new tab)investor website
Florida InstituteNo round attributed
- florida-institute.com (opens in a new tab)investor website
Funding rounds are not available yet.
Founders
Product
Problem
Edge AI applications are often constrained by hardware limitations, struggling to process high-resolution visuals in real-time due to power consumption, latency, and throughput issues. Existing workarounds, such as reducing image resolution or adding more hardware, introduce new costs and only offer marginal improvements.
Solution
Gigantor Technologies offers a hardware acceleration solution, GigaMAACS, designed to overcome these limitations and enhance the performance of machine learning and AI models. GigaMAACS enables real-time processing of ultra-high-definition visuals with near-zero latency. The solution significantly reduces power consumption compared to traditional GPUs, facilitating the deployment of larger, more capable models in edge AI applications. By optimizing circuit design, GigaMAACS allows for frame processing at high speeds, exceeding 240 FPS.
Target Audience
The primary target audience includes developers and organizations in defense, aerospace, autonomy, agriculture, augmented reality, transportation, industrial machines, healthcare, smart cities, and process monitoring that require high-performance edge AI solutions.
Features
- Optimized circuit design for seamless hardware implementation of AI models
- High-resolution HD/4K visual processing capabilities
- Near-zero latency for real-time responsiveness
- Power efficiency, utilizing 90% less power than GPUs
- High-performance object recognition and target tracking
- Compatibility with FPGA and ASIC deployment