Nektar

Nektar

Sales productivity startup that develops an AI-based virtual sales assistant to improve the productivity of sales teams.

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Financials

Estimates*

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Revenues, earnings & profits over time
USD202120222023
Revenues000000000000
% growth-142 %58 %
EBITDA000000000000
Profit000000000000
EV000000000000
EV / revenue00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x
R&D budget000000000000

Source: Dealroom estimates

More about Nektar
Made with AI
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Nektar.ai is a startup that operates in the field of artificial intelligence (AI) enabled revenue operations. The company's primary focus is to address common issues in customer relationship management (CRM) such as missing historical data, poor visibility of the customer journey, and lack of actionable insights. Nektar.ai's solution restores historical CRM data, provides detailed visibility from lead generation to renewal and expansion, and offers leading indicators at the point of action. This results in better alignment and collaboration, and proactive go-to-market (GTM) execution.

The company's clients are typically sales operations managers and directors of sales enablement who are looking for more effective ways to manage their customer relationships and sales processes. One of the key benefits of Nektar.ai's solution, as reported by a sales ops manager, is the ability to identify potential customers that were previously unknown. This can be more valuable than purchasing expensive lists from other sources.

Nektar.ai operates in the AI and CRM markets, which are both growing rapidly as businesses increasingly recognize the value of data-driven decision making. The company's business model is likely based on a software-as-a-service (SaaS) model, where clients pay a subscription fee to use the software. This model provides a steady stream of recurring revenue for the company.

In summary, Nektar.ai is an AI-enabled revenue operations company that provides a solution to common CRM problems. It serves sales professionals and operates in the growing AI and CRM markets. The company likely makes money through a SaaS model.

Keywords: AI, Revenue Operations, CRM, Lead Generation, Sales Operations, Go-to-Market Execution, SaaS, Data-Driven Decision Making, Customer Journey, Subscription Model.

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