Positron Networks
Positron is reinventing how researchers leverage AI/ML in science, accelerating the pace of discovery 10X and fueling innovation.
Problem: Experiments must run in minutes, not days, to accelerate science. 4.1M researchers lack tools to run up to $50K annually in AI/ML experiments, leading 2,300 enterprises to spend billions on obsolete hardware. Researchers do not know what an API is and cannot use developer-focused cloud alternatives.
Solution: Validated by 50+ enterprises, national labs, and universities, Positron built an easy AI/ML service for scientific computing that makes researchers more productive.
Specifically:
· Our easy-to-use UX lets you run experiments with one click, and researchers don’t need advanced Python, cloud, or IT skills.
· We use AI to run jobs that intelligently select and scale the underlying cloud infrastructure, allowing experiments to run fast and efficiently at scale.
· We support prepaid scientific funding models with built-in budget allocation and cost controls aligned with how researchers run experiments today.
Team: Positron’s team comprises ex-AWS leaders with 17 years of combined experience leading services built with AI/ML services and experiencing firsthand the gap in researcher tools.
Our key investors and advisors are Russ Siegelman (Stanford GSB, Kleiner Perkins), Larry Augustin (AWS, SugarCRM, VAL Linux), and Taimur Rashid (Redis, AWS).
Current Status
Positron is currently working on a launch with the Massachusetts Open Cloud (MOC), a research computing collaboration between Boston University, the University of Massachusetts, and Harvard University. We have agreed to business terms and are working on a contract to launch the partnership in September 2024. In addition to acting as a distribution mechanism for thousands of scientific researchers at these institutions, MOC gives Positron access to a broad range of scientific computing infrastructure to offer our other beta customers, such as the University of Illinois at Urbana Champaign (UIUC).
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