AI-powered response management platform for RFPs, questionnaires, and security assessments
Responsive builds software to automate RFP and questionnaire responses at enterprise scale. The stack reflects a maturing AI infrastructure play: heavy adoption of RAG, LoRA, and QLoRA alongside LLM APIs (OpenAI, Anthropic, Bedrock) and vector databases (Pinecone, Qdrant), paired with performance tooling (JMeter, Gatling, LoadRunner, New Relic) — indicating the company is moving from basic LLM integration toward optimized, production-grade retrieval-augmented systems. Hiring velocity is decelerating while the org remains engineering-heavy, suggesting consolidation around current product capabilities rather than major new platform bets.
Notable leadership hires: Product VP, Engineering Director
Responsive operates Strategic Response Management software designed to help organizations standardize and automate responses to RFPs, RFIs, DDQs, security questionnaires, ESG requests, and similar structured information exchanges. The platform serves mid-market to enterprise customers looking to reduce response cycle time and operational overhead. Active projects center on end-to-end implementations for complex multi-region deployments, AI-enabled delivery models, and scalable customer success frameworks — reflecting a services-and-support-heavy go-to-market. The company is based in Frisco, Texas (per this data; LinkedIn lists Portland, OR as headquarters), with additional engineering presence in India and UK operations.
Responsive actively adopts Retrieval-Augmented Generation (RAG), LoRA, and QLoRA, integrating with OpenAI, Anthropic, Bedrock, and vector databases including Pinecone and Qdrant.
Yes. Engineering represents the largest department (26 open and recent roles), with additional hiring in support (14), sales (7), product (5), and marketing (4). Hiring spans the US, India, and the UK.
Responsive provides AI-powered software to manage and automate responses to RFPs, security questionnaires, and similar business questionnaires. Nearly 2,000 customers use the platform to standardize responses at scale.
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