Customer Onboarding Platform Rocketlane Raises USD24M Series B Funding Led by 8VC, Matrix Partners India and Nexus Venture Partners
PSA and Customer onboarding platform Rocketlane raised $24m Series B funding round led by 8VC, Matrix Partners India and Nexus Venture Partners to create a post sales CRM for professional services teams.
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PSA (Professional Services Automation) and Customer onboarding platform Rocketlane today announced that they have raised USD 24 million Series B funding round led by existing investors 8VC, Matrix Partners India and Nexus Venture Partners. With this the total raised capital brings to USD 45M. The funding round show the rising interest from investors to back B2B SaaS startups.
The raised capital will be utilized in creating a post sales CRM for professional services teams.
PSA startup Rocketlane was founded in April 2020 by Srikrishnan Ganesan, Vignesh Girishankar, and Deepak Bala. Earlier to this, they built FreshChat which was an in app messaging, later acquired by FreshWorks in 2015. The idea of Rocketlane came in response to problems they faced onboarding their own customers to FreshChat.
About Rocketlane
Rocketlane is a custom-built platform for client onboarding and PSAs that helps companies increase team productivity and project profitability while accelerating time-to-value. By substituting an all-in-one, contemporary client-centric platform for outdated PSA and generic project tools, the platform reimagines service delivery for teams. For companies and their clients, Rocketlane provides a distinctive, unified workspace that enhances communication, collaboration, and project visibility. Teams may create and improve playbooks and processes by using the trends and benchmarks it provides from previous projects.
About SaaS
Software as a Service (SaaS) is a software distribution model or platform where applications are hosted by a service provider (say company) and made available to customers over the internet. This approach eliminates the need for businesses to install and maintain software on their own servers, reducing costs and complexity. Due to the cloud based architecture, SaaS market is expected to continue growing as more businesses and companies adopt these solutions. The good thing is that you can integrate artificial intelligence (AI) and machine learning (ML) into SaaS applications to enhance the capabilities of the platform which in turn provide more value to users.
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