API for Retrieval Augmented Generation
Building reliable production LLM applications is hard because models need accurate access to external knowledge sources.
It provides an API using proprietary retrieval-augmented generation (RAG) technology to connect external knowledge sources to LLMs with improved retrieval performance and reliability.
Developers and companies building LLM-based applications, from internal tools to customer-facing products.
System Architect at Superpowered.ai Professional interests: AI systems, software architecture, Python, IaC Personal interests: biological systems, skiing, mountain biking, and just about anything outside
Dillon Martin is the co-CEO of Superpowered AI, a startup that provides a developer API for building sophisticated LLM-based applications. Previously, he worked as a Financial Advisor at Bank of America Merrill Lynch before co-founding a quantitative hedge fund with the same team that later founded Superpowered AI. When Dillon is not conversing with AI models, he can be found skating the streets of Salt Lake City.
Nick McCormick is the lead developer at Superpowered AI. He studied engineering at the University of Tennessee. Prior to starting Superpowered, he worked as a developer at a quant hedge fund where he developed the backtesting system. Outside of work, Nick's main passions are mountain biking and running, where he frequently competes in races.
Zach is the co-CEO of Superpowered AI. Prior to starting Superpowered, he was the Chief Investment Officer at a small quant hedge fund that he ran with his future Superpowered co-founders, where he put his Applied Mathematics degree to good use. When he’s not working, Zach enjoys spending time in the mountains, usually either skiing or biking.