DA

Diego Acosta

Business Operations & Strategy Lead at Granica

Diego Acosta has a work experience that spans several years. Diego started their career at Alvarez & Marsal in 2018 as a Sr. Associate, where they provided advisory services to technology companies and financial sponsors. In this role, they worked on various transactions for clients such as Latch, SentinelOne, Compass, Embark Trucks, Relativity Space, and Nextdoor. Diego then joined Uphold Inc. in 2021, where they worked in Strategic Finance until 2022. Currently, Diego is working at Granica as a Business Operations & Strategy Lead, a position they took on in 2022.

Diego Acosta completed their Master of Science in Finance from the University of Oregon Lundquist College of Business in 2018. Prior to that, they obtained their Bachelor of Science in Political Science from the University of Oregon in 2017.

Location

San Francisco, United States

Links

Previous companies


Org chart


Teams

This person is not in any teams


Offices

This person is not in any offices


Granica

Granica is an AI research and systems company helping enterprises leverage AI efficiently and safely. Our mission is to make AI 10,000x better. We believe data is the first-mile problem to solve in this mission. Our first system is a novel training data platform for enterprise AI that unlocks efficiency and privacy through our flagship services tailored for Generative and Traditional AI: Granica Crunch is a family of advanced data compression/reduction models which enable AI/ML teams to add and use more data to improve their ML accuracy and performance while controlling their infrastructure costs. Crunch delivers deep cost efficiencies for data at any scale, at rest and in use. Granica Screen is an advanced data privacy-enhancing service that unlocks even more data for AI/ML teams to safely improve model performance. It guarantees state-of-the-art privacy at scale, enabling Private LLMs and Privacy-preserving AI. Granica Chronicle is a deep data visibility service for disparate AI data stores. Enabling unification, collaboration and insights into data usage for AI and ML. Our research is deeply rooted in information science, machine intelligence, computer vision, natural language, and distributed systems, with a special emphasis on elevating the efficiency and safety of AI systems through fundamental and innovative research. We're backed by remarkable institutional investors in AI, Data, and Cloud; and several industry luminaries in business and technology.


Industries

Employees

11-50

Links