B2B sales productivity startup Nektar.ai closes $8.1m to accelerate product development, launch in the US market
B2B sales productivity startup, Nektar.ai has raised an additional $6 million seed round of funding led by B Capital Group, 3one4 Capital and Nexus Venture Partners. Several prominent Go To Market leaders in the US-Asia cross border SaaS ecosystem also participated in the round.
In November 2020, the company had raised an initial $2.15 million led by Nexus Venture Partners. The latest round of funding takes the total seed amount raised by the company to $8.1 million, making it one of the biggest seed rounds for a B2B SaaS company in the US-Asia corridor.
Nektar.ai's AI-powered guided selling solution sits adjacent to CRM systems like Salesforce. It captures buyer/seller data scattered across sources such as email, Calendar, Web Conference, and communication tools like Slack, CRM, Linkedin and WhatsApp to provide timely insights on leading indicators. Additionally, it also surfaces these insights into workflow tools like email, Slack, Zoom and Microsoft Teams for seamless collaboration across customer-facing revenue teams.
Founded in 2020 by seasoned early-stage SaaS business leaders Abhijeet Vijayvergiya and Aravind Ravi Sulekha, Nektar.ai has been in stealth mode to date, working with select customers in private beta. It plans to come out of the beta and launch the product for general availability in the first half of 2022.
The company intends to use the funding to augment research & development, expand product and engineering function and build a Go To Market team focused on launching the product in the US market. The company has opened up its waitlist and interested customers can sign up here for early access to the product.
Abhijeet Vijayvergiya, Co-founder & CEO, Nektar.ai: "2020 transformed the world of B2B Sales and fundamentally changed the way B2B selling and buying gets done. Modern, fast-growing distributed teams work in data silos and operate many disconnected sales & marketing tools. This leads to problems like poor visibility into the revenue data, accountability gaps across revenue function, inconsistent playbook adoption and lack of collaboration within revenue teams, making it harder to create a repeatable sales process and a predictable revenue engine. We want to enable growing SaaS sales teams to execute a scalable revenue engine and unlock their growth flywheel faster."
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