Strategic Response Management
The platform formerly known as RFPIO turned the dreaded RFP into a few minutes of AI-assisted work - for roughly 2,000 companies and a fifth of the Fortune 500.
RFPs · RFIs · Security Questionnaires · DDQs · and every complex request in between
Every business-to-business seller knows the request. A prospect sends a spreadsheet with 300 questions, a security team demands a completed questionnaire, or a government buyer publishes a formal request for proposal with a hard deadline and unforgiving formatting rules. For years, the answer to all of it was the same: copy, paste, chase colleagues for input, and stay late.
Responsive was built by three people who lived that grind. In 2015, Ganesh Shankar, AJ Sunder, and Sankar Lagudu launched RFPIO in Beaverton, Oregon after collaborating on RFPs at a previous employer and concluding that the tools available were not equal to the job. The name was a plain description of the problem - RFP input, output.
A decade later, the product answers far more than RFPs. It handles requests for information, requests for quotes, security questionnaires such as CAIQ and SIG, due diligence questionnaires, risk assessments, and the ad hoc questions buyers ask mid-deal. In July 2023 the company retired the RFPIO name and became Responsive, repositioning itself around a category it labels strategic response management.
The rename was not cosmetic. By defining the market in its own terms, Responsive gave a name to work that used to be scattered across sales, proposals, legal, and information security. The pitch is that all of it is really one discipline - responding, accurately and quickly, with the best of what a company already knows.
"In 2015 our founders recognized that responding to RFPs took far too much time and too many resources - so they set out to build a better way."
- Responsive, company about page (paraphrased)At its core is a centralized content library - approved answers, boilerplate, and proof points - wrapped in workflow that imports a request, assigns questions to owners, tracks deadlines, and assembles a finished document. AI now drafts first versions in minutes.
Proposal writers, pre-sales, and information-security teams at names like Microsoft, Adobe, LinkedIn, Google Cloud, Salesforce, and Zoom. Roughly 2,000 organizations and hundreds of thousands of users across 100+ countries.
Manual responses are slow, inconsistent, and easy to get wrong. A stale answer in a security questionnaire is a compliance risk; a late proposal is a lost deal. Responsive centralizes the truth so teams stop reinventing it.
Microsoft, a customer, reported saving an estimated $2.4 million using the platform - a figure the company cites as evidence that response work, done well, is a measurable line item, not overhead.
Import, assign, track, and answer RFPs, RFIs, RFQs, security questionnaires, and DDQs from one workspace built around a governed content library.
Generative AI that drafts full proposal first drafts, auto-answers questionnaires, and surfaces the best existing content - guided by subject-matter experts.
Build custom AI response agents using plain language, plus ready-made Analysis and Answering agents that extract requirements and draft answers.
A content-scoring system that objectively grades the quality and trustworthiness of AI-generated responses before they ever reach a buyer.
Real-time self-service access to curated organizational knowledge, so field teams can answer buyer questions without filing a ticket.
A Model Context Protocol server surfaces Responsive knowledge directly inside ChatGPT, Microsoft Copilot, and Claude - answers where work happens.
Responsive sits in a crowded field. Loopio is the most-cited alternative, with QorusDocs strong in Microsoft-heavy shops, Qvidian (part of Upland) built for large, compliance-driven enterprises, and PandaDoc popular for lighter document workflows. A newer wave of AI-native challengers - AutoRFP.ai, Inventive.ai, SiftHub - is pushing on speed and first-draft quality.
Responsive's argument is scope and trust. Rather than a point tool for proposals, it positions as the system of record for every kind of response - sales and security alike - with an emphasis on governed content and verifiable AI. TRACE Score and human subject-matter experts in the loop are the counter to the "AI just made something up" objection.
Its depth of enterprise integrations - Salesforce, Microsoft, Slack, Google Workspace - is the moat for large buyers who need answers to live inside the tools their teams already use.
Share of Responsive customer responses touched by AI · company-reported
Rough scale of the platform · company-reported
Seat- and usage-based subscriptions to enterprise and mid-market teams, with tiers and add-ons for AI, integrations, and expanded collaboration. Third-party estimates put annual revenue near $114M - notable for a company that has raised only about $27M in disclosed funding.
Deep knowledge of proposal operations, content governance, and the security-questionnaire workflows (CAIQ, SIG, DDQ) that sit between sales and compliance - now paired with applied AI: retrieval, agents, and response quality scoring.
Responsive scaled to an estimated nine-figure revenue on roughly $27M raised - most of it a single $25M Series A from K1 Investment Management in 2018. The math is a reminder that funding raised and business built are not the same number.
Ganesh Shankar, AJ Sunder, and Sankar Lagudu launch in Beaverton, Oregon.
Early funding from Elevate Capital, TiE Oregon, and Archivist Capital.
K1 Investment Management invests to accelerate growth.
Acquires the Kansas-based competitor to cover more of the RFP lifecycle.
RFPIO becomes Responsive, built around strategic response management.
Generative AI drafting and the Ask knowledge tool arrive.
No-code AI agents and objective response scoring; AI-assisted responses hit 45%.
An MCP server puts Responsive knowledge in leading AI assistants.
Named a top-50 SaaS CEO (2022) and EY Entrepreneur of the Year - Pacific Northwest (2020). Sets product and category strategy.
Product and technology leadership, shaping the platform's AI and engineering direction.
Operations leadership, anchoring the company's substantial engineering base in Coimbatore, India.