Arphie

About Arphie

Arphie develops AI agents that automate the drafting of RFPs and questionnaires, optimizing content management by integrating with existing data sources like Google Drive and SharePoint. This technology reduces the time spent on proposal creation and information retrieval by up to 80%, enabling teams to meet deadlines and improve deal velocity.

```xml <problem> Responding to Requests for Proposals (RFPs), questionnaires, Due Diligence Questionnaires (DDQs) and Security Questionnaires is a time-consuming process that often involves chasing down information from multiple sources and team members. Maintaining up-to-date and accurate content libraries for these documents is also a significant challenge. This can lead to missed deadlines, reduced deal velocity, and inefficient use of resources. </problem> <solution> Arphie provides AI agents that automate the drafting of RFPs, questionnaires, and other business-critical documents. The platform integrates with existing data sources like Google Drive, SharePoint, Confluence, Seismic, and Highspot to ensure that the AI agents have access to the most up-to-date information. By leveraging these integrations, Arphie eliminates the need to manually search for answers and reduces the time spent on proposal creation and information retrieval. The platform also offers collaboration tools, deadline tracking, and answer approval workflows to streamline the entire document creation process. Arphie's AI agents provide source citations and confidence scores, offering transparency into how answers are generated. </solution> <features> - AI-powered drafting of RFPs, questionnaires, DDQs, and Security Questionnaires - Integrations with Google Drive, SharePoint, Confluence, Seismic, Highspot, and other data sources - Collaboration tools for team members to work together on documents - Deadline tracking and automated reminders to ensure timely completion - Answer approval workflows to maintain quality and accuracy - Source citations and confidence scores for AI-generated answers - Data governance features to control which files and documents are shared with the AI agents - SOC 2 Type 2 compliance and Zero Data Retention (ZDR) for enhanced security </features> <target_audience> Arphie's primary customers are high-growth companies, publicly-traded firms, and teams across all geographies and industries that regularly respond to RFPs, questionnaires, and other similar documents. </target_audience> <revenue_model> Arphie offers a subscription-based pricing model based on usage and features. </revenue_model> ```

What does Arphie do?

Arphie develops AI agents that automate the drafting of RFPs and questionnaires, optimizing content management by integrating with existing data sources like Google Drive and SharePoint. This technology reduces the time spent on proposal creation and information retrieval by up to 80%, enabling teams to meet deadlines and improve deal velocity.

Where is Arphie located?

Arphie is based in San Francisco, United States.

When was Arphie founded?

Arphie was founded in 2023.

How much funding has Arphie raised?

Arphie has raised 2900000.

Who founded Arphie?

Arphie was founded by Dean Shu.

  • Dean Shu - Co-Founder/CEO
Location
San Francisco, United States
Founded
2023
Funding
2900000
Employees
6 employees
Major Investors
General Catalyst
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Arphie

Score: 100/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

Arphie develops AI agents that automate the drafting of RFPs and questionnaires, optimizing content management by integrating with existing data sources like Google Drive and SharePoint. This technology reduces the time spent on proposal creation and information retrieval by up to 80%, enabling teams to meet deadlines and improve deal velocity.

arphie.ai500+
cb
Crunchbase
Founded 2023San Francisco, United States

Funding

$

Estimated Funding

$2.9M+

Major Investors

General Catalyst

Team (5+)

Dean Shu

Co-Founder/CEO

Company Description

Problem

Responding to Requests for Proposals (RFPs), questionnaires, Due Diligence Questionnaires (DDQs) and Security Questionnaires is a time-consuming process that often involves chasing down information from multiple sources and team members. Maintaining up-to-date and accurate content libraries for these documents is also a significant challenge. This can lead to missed deadlines, reduced deal velocity, and inefficient use of resources.

Solution

Arphie provides AI agents that automate the drafting of RFPs, questionnaires, and other business-critical documents. The platform integrates with existing data sources like Google Drive, SharePoint, Confluence, Seismic, and Highspot to ensure that the AI agents have access to the most up-to-date information. By leveraging these integrations, Arphie eliminates the need to manually search for answers and reduces the time spent on proposal creation and information retrieval. The platform also offers collaboration tools, deadline tracking, and answer approval workflows to streamline the entire document creation process. Arphie's AI agents provide source citations and confidence scores, offering transparency into how answers are generated.

Features

AI-powered drafting of RFPs, questionnaires, DDQs, and Security Questionnaires

Integrations with Google Drive, SharePoint, Confluence, Seismic, Highspot, and other data sources

Collaboration tools for team members to work together on documents

Deadline tracking and automated reminders to ensure timely completion

Answer approval workflows to maintain quality and accuracy

Source citations and confidence scores for AI-generated answers

Data governance features to control which files and documents are shared with the AI agents

SOC 2 Type 2 compliance and Zero Data Retention (ZDR) for enhanced security

Target Audience

Arphie's primary customers are high-growth companies, publicly-traded firms, and teams across all geographies and industries that regularly respond to RFPs, questionnaires, and other similar documents.

Revenue Model

Arphie offers a subscription-based pricing model based on usage and features.