SMC x Opaque

Overview:

Opaque Systems is a confidential AI platform founded at the Berkeley RISELab. Opaque works to help their customers gain the most valuable insights from their sensitive data through AI in a safe and confidential manner. The project was led by Senior Project Director; Ishaan Agnihotri, Project Director; Mabel Hong and Consultants; Sabrina Chen, Ella Tran, Michael Soares, and Daniel Zaika.

Problem:

The goal of this project was to help Opaque Systems better understand their competitive landscape in comparison to other confidential computing and cloud incumbent competitors. Specifically, they were looking for a detailed understanding of their competitors’ target markets & use cases along with their product differences & key features.

Solution:

SMC addressed the challenge by designing a comprehensive insights report to provide detailed cross-comparisons between Opaque Systems and select competitors. Through extensive secondary research, the team produced a 55-page analysis that examined six competitors across critical dimensions, including platform capabilities and key features, product functionality and integration, use cases, target markets, SWOT analysis, and actionable insights tailored specifically for Opaque. Additionally, the report included strategic recommendations based on key learnings from both startup competitors and hyperscalers, offering guidance on how Opaque could maintain a competitive edge in the evolving market landscape.

Impact:

The report provided Opaque Systems with valuable insights into their competitive landscape, equipping them with strategies to drive sustainable business growth and success.