At DaBoost, we optimize AI processes while minimizing resource usage. Our mission is to reduce electricity consumption and lower computational costs through innovative, cutting-edge technology
"With DaBoost, the cost of training a model is reduced by 75%."
About Us
At daboost, we believe in achieving the impossible—maximizing performance while minimizing energy consumption. Our innovative technologies are designed to transform how data is searched, tokenized, and processed. With a focus on efficiency, our mission is to empower businesses to reach peak performance with minimal resource expenditure.
Our Technologies
Did you know: The training costs of chatGPT 4 was $100M
1
Vector-Based Search
Our Vector-Based Search Technology accelerates complex data searches by filtering irrelevant information, reducing the need for exhaustive comparisons, and cutting down on CPU usage. Discover how we're setting new standards in search efficiency.
2
Optimized Tokenization
Streamline your data processing with our advanced tokenization methods. Designed to handle vast datasets with ease, our technology reduces overhead and maximizes throughput, ensuring your systems run smoothly and efficiently.
3
Energy-Efficient Algorithms
At daboost, we are committed to sustainability. Our algorithms are engineered to deliver top-tier performance while consuming minimal energy. Experience the future of computing—where power meets efficiency.
DaBoost SaaS Service for On-Demand Training Acceleration
DaBoost offers a cutting-edge Software-as-a-Service (SaaS) solution designed to revolutionize the way businesses train and deploy AI models. This service provides unparalleled capability to accelerate training processes on demand, enabling companies to reduce training time significantly while maintaining or enhancing model accuracy. By leveraging DaBoost's proprietary optimization algorithms, businesses can handle massive datasets with efficiency, ensuring a faster time-to-market for AI-powered products and solutions.
The SaaS service is tailored for organizations operating in data-intensive industries such as finance, healthcare, and e-commerce, where AI plays a critical role in decision-making and customer engagement. Users can seamlessly integrate the service into their existing workflows via DaBoost's intuitive API. This enables real-time adjustments to training parameters and resource allocation, ensuring peak performance without the need for extensive manual intervention.
A key feature of this SaaS offering is its flexibility and scalability. Businesses can ramp up their training capabilities during periods of high demand or scale down to conserve resources when workloads are lighter. This dynamic approach not only optimizes performance but also ensures cost efficiency by minimizing energy and computational resource wastage. Furthermore, DaBoost's robust security measures safeguard sensitive data during the training process, adhering to industry standards and compliance regulations.
By offering on-demand training acceleration, DaBoost's SaaS service empowers businesses to stay ahead in a highly competitive landscape. Whether it’s fine-tuning existing models or developing new ones, this solution provides a strategic advantage, making AI innovation faster, smarter, and more sustainable.
FPGA AI Training:
A Revolutionary Approach to AI Model Development
DaBoost introduces an innovative method for AI training using FPGA (Field-Programmable Gate Array) technology, redefining the landscape of AI development. This advanced topology addresses critical bottlenecks in memory management and workload delivery, enabling seamless and efficient handling of complex AI tasks. Unlike traditional GPU-based training methods, FPGA AI training offers a unique architecture that optimizes data flow and computation, resulting in a remarkable 70% increase in training speed. This acceleration empowers businesses to achieve faster results without compromising accuracy or model performance.
The FPGA-based approach is not only faster but also significantly more cost-effective. By reducing energy consumption and hardware dependency, it slashes operational costs, making high-performance AI training accessible to a broader range of industries. Additionally, this method provides flexibility in inference, allowing businesses to deploy AI models with accelerated features in real-time environments. The enhanced efficiency and reduced latency ensure that even the most demanding workloads can be processed smoothly, paving the way for next-generation AI applications.
With this breakthrough, DaBoost’s FPGA AI training establishes a new standard in AI model training and inference. It’s an ideal solution for organizations seeking to maximize performance while minimizing costs, unlocking the full potential of AI innovation in a sustainable and scalable manner.
Our Team
Gal Rotem
CEO
Israel Zimmerman
CIO
Tzachi Zack
CPO
Dr. Uri Itai
CSO & ALGO
Andi Robinson
Global Sales & BD
Eran Kanety
Advisory Board
