UnifyApps Secures $11 million from Venture Capital Firm Elevation Capital

UnifyApps plans to expand its platform to support over 5,000 applications and give organisations the flexibility to build their own custom integrations in less than a day. 
Representational image of fundraising
Representational image of fundraising

Software integration start-up UnifyApps said that it has raised $11 million in seed funding. The amount raised will be used to build a unified integration platform that will allow enterprises to create custom applications 10x faster, build workflow automations, and sync data between applications in real-time. The funding was led by Elevation Capital, with participation from the founders and angel investors. 

UnifyApps was formed following a realisation that the lack of seamless app integrations within enterprise companies was leaving a tremendous amount of untapped value in terms of cost and efficiency. The company goes by the tagline, ‘Automate complex business processes
within minutes.’ The start-up says that it can instantly ‘move data across applications, data warehouses, or data lakes.’ 

Pavitar Singh, CEO of UnifyApps, said, "The rapid adoption of SaaS applications has led to building silos within the organisation, with each team using their own set of tools that are not connected to the rest of the organisation. Our vision is to change this by making integration simple and accessible, enhancing experiences for both customers and employees." 

UnifyApps was co-founded in 2023 by Pavitar Singh (CEO), former CTO at leading New York-bbased enterprise software company Sprinklr, along with Sumeet Nandal (COO), Abhishek Kurana (CPO), Rachit Mittal (CTO), Abhinav Singi (VP Engineering), Rahul Anishetty (VP Engineering), Kavish Manubolu (VP Engineering), and Shivam Satrawal (VP Product Management). 

UnifyApps plans to expand its platform to support over 5,000 applications and give organisations the flexibility to build their own custom integrations in less than a day. The company also aims to advance the capabilities of generative AI and build fine-tuned, purpose-built LLM-powered agents that leverage these integrations. 

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