PrismML
Efficient AI models for diverse devices
CORE INFO
PrismML develops ultra-efficient AI models designed to operate on edge devices like smartphones and robotics, focusing on reducing model size and energy consumption without sacrificing performance.
- PrismML raised $16.25 million in a seed round with participation from Khosla Ventures, Cerberus Capital, and Caltech.morningstar.com
- Forbes highlighted PrismML's development of the first commercially viable 1-bit large language model, emphasizing its reduced size and energy efficiency.forbes.com
WHY WE WOULD WORK AT PRISMML
Pioneering AI Models
Join the team behind the world's first 1-bit large language model, Bonsai 8B, revolutionizing AI with unmatched efficiency and speed.
Innovative Technology
Work with cutting-edge 1-bit weight AI models that drastically reduce memory usage and energy consumption without sacrificing performance.
Sustainable Impact
Contribute to reducing global energy costs by developing AI that operates efficiently on local devices, minimizing reliance on energy-intensive data centers.
Collaborative Culture
Be part of a dynamic team led by experts like Babak Hassibi and Sahin Lale, fostering a culture of innovation and collaboration.
Competitive Compensation
Benefit from a well-funded company with $16.25M in backing, ensuring competitive salaries and growth opportunities.
Diverse Industry Reach
Expand your expertise across industries like robotics and edge computing, applying versatile AI solutions to real-world challenges.
MARKET AND TRACTION
GROWTH TACTICS
KEY METRICS
✦ KEY METRICCOMPETITIVE ADVANTAGE
MARKET POSITION
PRODUCT AND TECH
1-Bit AI Models
PrismML specializes in developing AI models with 1-bit weights, significantly reducing memory usage and enhancing processing speed without sacrificing performance. This technology enables efficient AI deployment across diverse devices.
Bonsai 8B Model
The Bonsai 8B is the world's first commercially viable 1-bit large language model, requiring only 1.15GB of memory. It is 14 times smaller and 8 times faster than traditional models, making it ideal for edge hardware.
Ultra-Dense Intelligence
PrismML's approach to AI focuses on creating ultra-dense intelligence, allowing powerful AI to run locally and securely. This reduces reliance on large data centers and minimizes energy costs.
Edge Computing Solutions
PrismML's technology is designed for efficient AI deployment on edge devices, such as smartphones, enhancing real-time processing capabilities and reducing latency in various applications.
Energy-Efficient AI Deployment
By leveraging 1-bit model structures, PrismML enhances energy efficiency, making AI solutions more sustainable and cost-effective for industries like robotics and data centers.