SciQuest Named to SupplyChainBrain’s 100 Great Supply Chain Partners

SciQuest (NASDAQ: SQI), a leading provider of cloud-based business automation solutions for spend management, today announced it has been named to SupplyChainBrain’s 100 Great Supply Chain Partners list for the fifth time. Now in its twelfth year, the list is determined by customer nominations.

During its six-month poll, SupplyChainBrain received nominations for hundreds of solutions providers in every aspect of supply chain management. Supply chain professionals were asked to nominate vendors and service providers with solutions which have made a significant impact on their company’s efficiency, customer service and overall supply chain performance.

“Knowing that our customers took the time to share their stories of SciQuest transforming their supply chains is an honor,” said Stephen Wiehe, president and CEO of SciQuest. “We provide organizations with the necessary tools to achieve greater visibility into spending, increase collaboration and negotiate more strategic contracts, which translates into significant savings.”

SciQuest customers include many of the world’s leading organizations in higher education, life sciences/commercial, healthcare and public sector. With SciQuest’s solutions, organizations are able to gain real-time visibility into spending, aggregate their buying power and eliminate time-consuming and costly tasks traditionally associated with the purchasing process.

The 100 Great Supply Chain Partners will be featured in the July/August edition of SupplyChainBrain and available on line at www.supplychainbrain.com.

About SciQuest

SciQuest (NASDAQ:SQI) is the largest publicly held pure-play provider of cloud-based business automation solutions for spend management – offering deep domain knowledge and a leading, customer-driven portfolio. SciQuest solutions enable greater visibility and compliance organization-wide to help you gain control, optimize efficiencies and reduce spend. These cloud-based solutions are easier to implement and proven to deliver measurable, sustainable value with SciQuest’s high-touch support, analysis and automation. Learn more about our solutions and how we can help your organization turn spending into savings at www.sciquest.com.

About SupplyChainBrain

SupplyChainBrain, the world’s most comprehensive supply chain management information resource, is accessed year round through a wide range of ever evolving multi-media formats by hundreds of thousands of senior level industry executives. In addition to addressing the fundamental principles of supply-chain management, SupplyChainBrain identifies emerging trends, technologies and best practices, forward thinking ideas and cutting-edge solutions ~ and continues to write and report about these as they evolve and mature. www.supplychainbrain.com.

Cautionary Note Regarding Forward-Looking Statements

Any statements in this release that are not historical or current facts are forward-looking statements. All forward-looking statements in this release are made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. These statements are not guarantees of future performance and involve known and unknown risks, uncertainties and other factors that may cause actual results, performance or achievements to be materially different from any future results, performances or achievements expressed or implied by the forward-looking statements. Certain of these risks are discussed in “Part I, Item 1A, Risk Factors” and elsewhere in SciQuest’s most recent Annual Report on Form 10-K and other reports, as filed with the United States Securities and Exchange Commission (“SEC”). The company’s SEC reports are available free of charge on the SEC's website at http://www.sec.gov or on the company’s website at www.sciquest.com. These forward-looking statements speak only as of the date hereof, and SciQuest undertakes no obligation to update, amend or clarify any forward-looking statement for any reason. Given these risks and uncertainties, investors should not place undue reliance on forward-looking statements as a prediction of actual results.