Up-and-coming companies ready to talk today.
Our Seller Showcase features technology companies currently seeking additional capital or a merger or acquisition transaction. Click on the company’s title to view a summary profile of any Showcase company. You may contact MergerTech to request access to the MergerTech Exchange and review detailed profiles.
Project Phoenix
Growing Audio/Visual Solutions Provider located in the Northeast. The company is considering being acquired by a strategic partner who can leverage their domain specific expertise to expand their solution set or regional presence. They have been established as a premier provider in their local region and operate with both high margins and low overhead to maximize EBITDA.
Click to learn more about this Seller.
Project Sycamore
Growing SaaS company that provides a search engine optimization (SEO) software platform to over 100,000 small and medium sized businesses. The software is delivered on a monthly subscription basis to customers as both a white label platform via partners and directly via a network of affiliates.
Click to learn more about this Seller.
Project Oahu
Global provider of knowledge based business-critical services that improve margins and manage financial risk for telecommunication service providers’ complex back office operations. Additionally, runs a Legal Process Outsourcing operation, delivering low-cost documentation and document preparation services.
Click to learn more about this Seller.
Project Broncos
The company provides information technology staffing services primarily to large corporate and growth companies nationally. The company specializes long term engagements with a high percentage of its consultants at the same client site for more than 5 years.
Click to learn more about this Seller.
Project Tomcat
Offers an analytics dashboard that provides detailed metrics on impact, engagement, clout and other categories for individual Twitter accounts. Gives subscribers a overview of the influence level for a Twitter account has based on usage pattern data such as number of followers and number of retweets by others.
