Draft:Settle
Submission declined on 4 May 2025 by KylieTastic (talk).
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
| ![]() |
![]() | |
Company type | Private |
---|---|
Industry | Software; Artificial intelligence |
Founded | September 2023; San Francisco, California, U.S. |
Founders | Will Feldman; Dilan Bhat; Ben Wetzell; Alex Nikanov |
Website | usesettle.com |
Settle Solutions, Inc. (branded as Settle) is a private American software and artificial intelligence company that provides AI-powered tools for streamlining responses to procurement questionnaires such as requests for proposals (RFPs), requests for information (RFIs), requests for quotations (RFQs), and security questionnaires. Settle’s platform leverages generative AI and vector search to scan an organization’s past answers and automatically generate accurate responses to new RFP questions.[1]
History
[edit]After meeting during Northeastern University’s Semester in Silicon Valley entrepreneurship program, the four co-founders launched Settle in September 2023 in San Francisco, California.[1] Initially focused on AI-driven employee onboarding solutions, the company pivoted in May 2024 to specialize in RFP automation following customer feedback from sales teams seeking to reduce manual effort. The startup later relocated its headquarters to Boston, Massachusetts, to tap into the city’s AI and tech ecosystem.
Products
[edit]Settle’s flagship product is an AI-driven platform for answering RFPs, RFIs, RFQs, and security questionnaires. The platform connects to a company’s existing content library, uses vector search to retrieve similar previously answered questions, and applies generative AI to craft tailored responses grounded in approved historical data.[2] The company reports that this approach can reduce RFP response times by up to 80%, while minimizing the risk of AI hallucinations by basing answers on vetted content.
See also
[edit]- Request for proposal
- Request for information
- Request for quotation
- Knowledge management
- Software as a service
References
[edit]External links
[edit]Category:Software companies of the United States Category:Artificial intelligence companies Category:Companies based in Boston, Massachusetts Category:Business software companies
- in-depth (not just brief mentions about the subject or routine announcements)
- reliable
- secondary
- strictly independent of the subject
Make sure you add references that meet all four of these criteria before resubmitting. Learn about mistakes to avoid when addressing this issue. If no additional references exist, the subject is not suitable for Wikipedia.