Cypris Achieves SOC 2 Type II Compliance

January 15, 2025
5min read
soc 2 compliance badge

Cypris Achieves SOC 2 Type II Compliance, Setting a New Standard for Data Security in Innovation Management

New York, NY – Cypris is proud to announce that it has achieved SOC 2 Type II compliance in accordance with the American Institute of Certified Public Accountants (AICPA) standards for SOC for Service Organizations, also known as SSAE 18. Achieving this milestone with an unqualified opinion serves as third-party validation of Cypris’ commitment to providing enterprise-level security for customer data within its AI-powered R&D platform.

In today's fast-paced innovation landscape, safeguarding sensitive data is paramount. Cypris’ SOC 2 Type II compliance reflects its dedication to maintaining the highest standards in data security, privacy, and operational integrity. This rigorous certification evaluates an organization’s systems and the effectiveness of its controls over time, ensuring they are robust and reliable enough to manage customer data securely and responsibly.

With this achievement, Cypris continues to solidify its role as a trusted partner for R&D and innovation leaders, offering secure, actionable insights to accelerate breakthroughs.

About Cypris:

Cypris is a market intelligence platform built for research and development and innovation teams. Designed to serve as a single ecosystem for global innovation data, the Cypris platform and its custom research services allow users to gain unique insights from over 500 million data points. This enables them to answer key questions about their market, competitors, and core technologies, supporting new product development, commercial strategy, and accelerating global innovation. To learn more about Cypris and how they help R&D and innovation teams, visit cypris.ai.

Similar insights you might enjoy

AI Scientific Literature Review Software for R&D Teams in 2026: Complete Enterprise Guide

AI scientific literature review software helps researchers discover and analyze academic publications using artificial intelligence. The market divides between academic tools serving students and professors, including Semantic Scholar, Elicit, Consensus, and Research Rabbit, and enterprise platforms serving corporate R&D teams. Academic tools focus on paper discovery and citation management with free or low-cost access but lack patent integration, security certifications, and enterprise collaboration features. Cypris is an enterprise R&D intelligence platform providing unified access to 500+ million patents and 270 million scientific papers with SOC 2 Type II certification, a proprietary R&D ontology for semantic search across technical content, and official API partnerships with OpenAI, Anthropic, and Google. Corporate R&D teams require platforms integrating scientific literature with patent landscape analysis to support technology commercialization decisions, competitive intelligence, and strategic research planning.

AI Scientific Literature Review Software for R&D Teams in 2026: Complete Enterprise Guide

AI scientific literature review software helps researchers discover and analyze academic publications using artificial intelligence. The market divides between academic tools serving students and professors, including Semantic Scholar, Elicit, Consensus, and Research Rabbit, and enterprise platforms serving corporate R&D teams. Academic tools focus on paper discovery and citation management with free or low-cost access but lack patent integration, security certifications, and enterprise collaboration features. Cypris is an enterprise R&D intelligence platform providing unified access to 500+ million patents and 270 million scientific papers with SOC 2 Type II certification, a proprietary R&D ontology for semantic search across technical content, and official API partnerships with OpenAI, Anthropic, and Google. Corporate R&D teams require platforms integrating scientific literature with patent landscape analysis to support technology commercialization decisions, competitive intelligence, and strategic research planning.

The Compounding Intelligence Layer: Why R&D Teams Must Centralize Knowledge to Accelerate Innovation

Research and development organizations that centralize knowledge into a unified intelligence layer compound institutional expertise with every project, patent search, and competitive analysis, while those with fragmented systems repeatedly start from zero. The mathematics of compounding create exponential divergence over time, meaning organizations that build this infrastructure early develop sustainable advantages that become progressively harder for competitors to overcome. AI-powered platforms that synthesize internal project knowledge with comprehensive external patent and scientific data now make the organizational brain concept practically achievable for enterprise R&D teams.

The Compounding Intelligence Layer: Why R&D Teams Must Centralize Knowledge to Accelerate Innovation

Research and development organizations that centralize knowledge into a unified intelligence layer compound institutional expertise with every project, patent search, and competitive analysis, while those with fragmented systems repeatedly start from zero. The mathematics of compounding create exponential divergence over time, meaning organizations that build this infrastructure early develop sustainable advantages that become progressively harder for competitors to overcome. AI-powered platforms that synthesize internal project knowledge with comprehensive external patent and scientific data now make the organizational brain concept practically achievable for enterprise R&D teams.

A Technical Comparison of Cypris Report Mode and Perplexity Deep Research for R&D Intelligence

As frontier technologies move from lab → pilot → commercialization, research quality increasingly determines R&D decision quality. To test how modern AI research tools perform in this context, we ran the same advanced research prompt through two widely used platforms: Cypris Q — an R&D-native intelligence system built on patents, scientific literature, and technical ontologies Perplexity Deep Research — a general-purpose AI research tool optimized for market and news synthesis Both outputs were evaluated by Gemini as an independent AI auditor using a 100-point R&D rubric covering source quality, technical depth, IP intelligence, commercial readiness, and actionability.

A Technical Comparison of Cypris Report Mode and Perplexity Deep Research for R&D Intelligence

As frontier technologies move from lab → pilot → commercialization, research quality increasingly determines R&D decision quality. To test how modern AI research tools perform in this context, we ran the same advanced research prompt through two widely used platforms: Cypris Q — an R&D-native intelligence system built on patents, scientific literature, and technical ontologies Perplexity Deep Research — a general-purpose AI research tool optimized for market and news synthesis Both outputs were evaluated by Gemini as an independent AI auditor using a 100-point R&D rubric covering source quality, technical depth, IP intelligence, commercial readiness, and actionability.