At the forefront of Tiny AI, we deliver specialized optimization services that refine AI models for peak performance. Enjoy the benefits of faster processing times and reduced latency, making your products smarter and more responsive.
AI Engineering Teams Waste 50% of Their Time on Manual AI Model Optimization
AI engineering teams spend over 50% of their time on tasks like chip selection, model selection, and optimization, slowing down development and limiting innovation.
Model optimization for edge devices often yields unpredictable results, extending development cycles and increasing resource usage, affecting project timelines.
Integrating AI into existing systems is challenging due to hardware limitations in computation, latency, and memory, leading to substantial integration and operational hurdles.
Rethinking Traditional AI Model Optimization
The AmpleAI approach reverses the traditional compression process by focusing on the desired outcome on the edge device from the beginning. This enables the use of larger, high-performance models upfront, which are then compressed to maximize edge device resource utilization.
Our comprehensive services are designed to optimize and streamline your AI model development, making it easier for engineering teams to manage and enhance AI on the Edge.
Model Selection and Optimization Suite for Target Chips
Multi-Device Model Management Hub
AI Expert Consultant and Support
Return on Investment in Manufacturing
You’ll save time and money with AmpleAI. Don’t take it from us; take it from Manufacturers Alliance Foundation. Their study showed 110% return on investment over three years.
AmpleAI boosts revenue by enhancing production efficiency, reducing costs, and speeding up time-to-market for new products.
Tiny AI models from AmpleAI monitor manufacturing lines, reliably predicting downtime and improving operational uptime.
AmpleAI ensures competitive and innovative products, enhancing quality and driving long-term profitability.
See how Edge AI solutions can transform legacy systems into high-efficiency operations. Explore our Edge AI use cases.
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