SBIR/STTR Research Award

SBIR Phase I: Natural Language Processing for Enhanced Sales Communication

Award identifier bb468f2cc3d4fb51d2a81171acd3b989eeb361ea6be695ceba8d7d909797e15fAwarding agency National Science Foundation

Award amount

$224,847

Program and phase

SBIR · Phase I

Award year

2019

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
Initium AI Inc.
Proposal award date
2019-11-01
Contract end date
2020-10-31
UEI
KNCLR3N4LDF9
Solicitation number
Not reported
Topic code
AI

Research abstract

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project will result from revolutionizing the way businesses approach sales, by directly and positively impacting sales communication. This, in turn, will lead to increased sales efficiency and increased customer satisfaction, while facilitating the acquisition of new customers and the retention of existing ones. These aspects will directly impact a company's bottom line and improve profitability. While the focus of this project is to build AI technology that can assist sales representatives in their communication, the lessons learnt here and the methods developed will be applicable to other areas where communication is essential, including the medical domain, counseling, or interviews. Furthermore, the goal of this project is to maintain significant involvement of women and under-represented minorities in this woman-owned company. This Small Business Innovation Research (SBIR) Phase I project focuses on building an intelligent sales platform expected to positively transform the sales process in business-to-business interactions. This will be achieved by creating technology that assists sales agents by increasing the effectiveness of their communication. Building on recent advances in Natural Language Processing and Machine Learning, novel methods and tools will be developed to measure and ensure sales agent responsiveness, accuracy, professionalism, and empathy in relation to customer communication. This project will leverage a proprietary large-scale dataset of sales emails and associated outcomes as a basis for the machine learning process. By the end of the Phase I project, this research will enable a direct and data-driven understanding of outcome-oriented sales communication and a quantified assessment of potential leads. This will be paramount to the future development of the project and to its impact and success in the marketplace. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

3 SBIR/STTR records share this UEI (2019–2023). Reported award amounts total $1,449,443. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: National Science Foundation

Agency intelligence

National Science Foundation

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