How much funding has Arphie raised?

Arphie has raised $2.9M in total funding. Their latest funding round was Seed round. Key investors include ["General Catalyst (Lead)","Definition","Recall Capital","Angel investors"].

Where is Arphie headquartered?

Arphie is headquartered in San Francisco, United States. The company has a team of 7 people.

Arphie operates in the AI Agents sector. An AI-native platform that automates RFP responses, due diligence questionnaires (DDQs), security questionnaires, and complex B2B questionnaires using patent-backed AI agents that transform unstructured enterprise knowledge into accurate, sourced responses. Reduces RFP and questionnaire response time by 60-80% while improving accuracy and consistency, enabling teams to pursue more revenue opportunities without increasing headcount. Customers report transforming weeks-long processes into days, and days into minutes.

When was Arphie founded?

Arphie was founded in 2023. It is based in San Francisco, United States.

Who is the CEO of Arphie?

Dean Shu is the CEO of Arphie. The company was founded in 2023.

Where is Arphie located?

Arphie is headquartered in San Francisco, United States.

What funding stage is Arphie at?

Arphie is currently at the Seed stage.

How many employees does Arphie have?

Arphie has approximately 7 employees.

Arphie

Category: AI Agents

An AI-native platform that automates RFP responses, due diligence questionnaires (DDQs), security questionnaires, and complex B2B questionnaires using patent-backed AI agents that transform unstructured enterprise knowledge into accurate, sourced responses. Arphie was founded in 2023. The company is led by Dean Shu. Based in San Francisco, United States. Team size: 7. Total funding raised: $2.9M. Latest round: Seed round. Key investors include ["General Catalyst (Lead)","Definition","Recall Capital","Angel investors"].

Founded: 2023
Headquarters: San Francisco, United States
Team size: 7
Total funding: $2.9M

Value proposition

Reduces RFP and questionnaire response time by 60-80% while improving accuracy and consistency, enabling teams to pursue more revenue opportunities without increasing headcount. Customers report transforming weeks-long processes into days, and days into minutes.

Products and solutions

["RFP Automation Platform","Due Diligence Questionnaire (DDQ) Automation","Security Questionnaire Automation","AI Knowledge Agents with Source Attribution","Content Library Management with Smart Merge","Collaborative Intelligence Platform"]

Unique value

Patent-backed AI agents with proprietary chunking technology and dual-mode approach (library-first, then AI generation) that outperforms traditional keyword-based RFP automation and standard RAG (Retrieval Augmented Generation) approaches. Features transparent AI with full source attribution, confidence scores, and rationale for every answer generated.

Target customer

Sales teams, presales/solutions engineering teams, investor relations teams at VC/PE firms, security and compliance teams, and proposal managers at B2B companies with RFP-heavy sales processes

Industries served

["Enterprise Software & B2B Technology","Financial Services & Banking","Healthcare","Venture Capital & Private Equity","Construction","Compliance & Risk Management"]

Technology advantage

Combines live integrations with enterprise knowledge systems (Google Drive, SharePoint, Confluence, Notion, Seismic, Highspot) with advanced AI agents that ingest, categorize, and construct responses from disparate unstructured sources. Achieves SOC 2 Type 2 compliance and Zero Data Retention (ZDR) with model providers—customer data is never used to train models, ensuring enterprise-grade security and data governance. Enables 60-80% efficiency improvements for users switching from legacy solutions, with documented customer results including 50% time savings (ComplyAdvantage), 3x RFP velocity increase (Braze), and 4x RFP output growth (Navan).

How they differentiate

Patent-backed AI agents with proprietary chunking technology and AI-native architecture that delivers 60-80% efficiency improvements over legacy tools. Features full transparency with source attribution, confidence scores, and reasoning for every AI-generated answer. Achieves 84% AI answer acceptance rate vs. legacy platforms requiring extensive manual library maintenance (200-250 hours annually). Benchmarks show 100-question RFP takes 17.5 hours in Loopio, 15 hours in Responsive, and only 6 hours in Arphie.

Main competitors

["Loopio","Responsive (formerly RFPIO)","AutoRFP.ai"]

Key partnerships

["General Catalyst (Lead Investor, $2.9M Seed Round)","Definition (Participating Investor)","Recall Capital (Participating Investor)","Enterprise Integration Partners: Google Drive, SharePoint, Confluence, Notion, Seismic, Highspot, Salesforce","Customer Partners: ComplyAdvantage (50% time savings), Recorded Future (acquired by Mastercard), Front ($1.7B valuation), Braze, Navan, commercetools, Ivo, OfficeSpace Software"]

Notable customers

["ComplyAdvantage (50% time savings)","Recorded Future (acquired by Mastercard)","Front ($1.7B valuation)","Braze (3x RFP velocity increase)","Navan (4x RFP output growth)","commercetools","Ivo","OfficeSpace Software"]

Major milestones

["Raised $2.9M seed funding led by General Catalyst (November 2024)","Achieved $1.1M ARR with 7-person team in 2024","Developed patent-backed AI technology for DDQ and RFP automation","Achieved SOC 2 Type 2 compliance and Zero Data Retention (ZDR) within first year","Featured in USA Today, Axios, and Authority Magazine"]

Growth metrics

$1.1M ARR achieved in 2024 with 7-person team. Achieved SOC 2 Type 2 compliance and Zero Data Retention (ZDR) with model providers within first year of founding.

Market positioning

AI-native RFP/DDQ automation platform challenging established legacy players with next-generation generative AI technology. Positioned as modern alternative for teams seeking faster implementation, higher automation rates, and reduced library maintenance burden. Targets mid-market to enterprise B2B companies with RFP-heavy sales processes across financial services, healthcare, and technology sectors.

Geographic focus

North America primary market (San Francisco HQ), serving customers globally from Series B startups to publicly-traded enterprises across diverse industries including financial services, healthcare, enterprise software, and venture capital/private equity

Patents and IP

Patent-backed and patent-pending AI technology for RFP and questionnaire automation. Specific patent numbers not publicly disclosed, but company consistently references patent-backed AI agents and proprietary chunking technology in official communications.

About Dean Shu

Former GM/Head of Studio and Chief of Staff to CEO at Scale AI (2019-2023), Senior Associate at Insight Partners (2017-2019), and Management Consultant at McKinsey & Company. Harvard University graduate with B.A. in Economics and Psychology (2009-2013). Started Arphie in 2023 after personally experiencing RFP challenges at Scale AI while leading software business units in financial services and healthcare sectors.

Official website: https://www.arphie.ai