Conveyor is ai platform for security questionnaires, trust centers, and rfp responses, with pricing starting at $9,600/yr. Its key strengths include: strong automation for security questionnaires and portal-based responses; integrated trust center plus questionnaire and rfp workflows in one product.
The best alternative to Conveyor is 1up. If that doesn't suit you, we've compiled a ranked list of other options below. Other interesting alternatives to Conveyor include Arphie, Iris, AutogenAI, AutoRFP.ai.
While Conveyor is a strong contender, there are a few reasons teams look for other options:
1up is a cloud platform that helps sales, security, and IT teams answer RFPs, security questionnaires, and internal product questions using a centralized knowledge base. It connects to company documents, websites, chat tools, and business systems to generate draft responses, support review workflows, and fill answers across files and web forms. Built for organizations that want faster, source-grounded questionnaire completion and easier knowledge access across go-to-market and compliance teams.
Compared to Conveyor, 1up starts at $250/mo.

1up is a cloud-based AI platform designed to help sales, security, and IT teams respond to RFPs, security questionnaires, and internal product questions faster and more accurately. By connecting to existing company documents, websites, and knowledge systems like Google Drive, SharePoint, Confluence, and Notion, 1up builds a centralized knowledge base that powers AI-generated draft responses across multiple file formats and web-based questionnaires.
Unlike tools that rely primarily on a static answer library, 1up emphasizes generating fresh answers grounded in trusted source material. This approach is particularly useful for teams that deal with evolving product information, frequent policy updates, or a high volume of non-repeating questions. The platform supports Word, Excel, Google Sheets, PDF, and web-based questionnaires, including multiple-choice and dropdown fields.
1up is built for organizations of all sizes, from small teams looking for a free entry point to enterprise organizations that need multilingual support, data residency options, and role-based access controls.
1up's AI engine generates draft answers by retrieving information from connected, trusted company sources rather than relying on a generic language model alone. It classifies questions and fields across different questionnaire formats, supports automatic translation for multilingual questionnaires, and proofreads generated responses for grammar and spelling. The system can also segment knowledge by product or line of business to produce more targeted answers.
1up offers one of the most accessible pricing models in the RFP automation space. A free tier is available at $0/month with limited usage. Paid plans start at $250/month (billed annually) for the Starter tier, with Plus at $500/month and Pro at $850/month. Enterprise pricing is custom. All paid plans include a 14-day free trial.
1up is ideal for SMB to enterprise teams with recurring RFP and security questionnaire volume who want fast, AI-generated first drafts grounded in approved company content. It is particularly well-suited for sales enablement teams that need instant answers inside Slack or Teams, and for security and IT teams completing vendor questionnaires across files and web portals.
1up does not offer a public API, audit logging, or SCIM provisioning, which may be gaps for enterprise compliance teams. Some reviewers have noted occasional answer inaccuracies, so human review of AI-generated responses remains important.
Arphie is an AI-powered platform for automating RFPs, DDQs, and security questionnaires using approved company knowledge sources and live content integrations. It generates first-draft answers with source citations and confidence signals, then routes responses through review and approval workflows. Built for sales, proposal, solutions, investor relations, and security teams that manage recurring questionnaires at scale.

Arphie is an AI-powered platform designed to automate responses to RFPs, DDQs, and security questionnaires. Rather than relying solely on a static answer library, Arphie connects to live content sources across an organization — including Google Drive, SharePoint, Notion, Confluence, and sales enablement platforms like Seismic and Highspot — to generate first-draft answers grounded in current company knowledge.
The platform is built for sales, proposal, solutions, investor relations, and security teams that manage recurring questionnaires at scale. Arphie's AI generates draft responses with source citations and confidence signals, giving reviewers transparency into where each answer came from and how reliable it is before they approve or edit.
Founded in 2023 and headquartered in San Francisco, Arphie raised a $2.9M seed round led by General Catalyst in November 2024. The company positions itself as an AI-native alternative to legacy response management tools, with an emphasis on fast onboarding and white-glove migration from existing content libraries.
Arphie's AI engine drafts responses by retrieving and synthesizing content from connected knowledge sources in real time. Each generated answer is accompanied by source citations and confidence scores, enabling reviewers to assess reliability at a glance. The system learns team preferences and writing style over time, and automatically recognizes when source documents have been updated. A Smart Merge feature identifies and cleans up duplicate Q&A entries across the knowledge base.
No public API is currently documented.
Arphie uses quote-based pricing with no public pricing page or listed starting price. A free trial is available according to third-party sources, though the trial length is not disclosed. Prospective buyers should contact the sales team directly for a custom quote.
Arphie is a strong fit for mid-market and enterprise teams that handle recurring RFP, DDQ, and security questionnaire workflows and want AI-generated first drafts backed by live organizational content. It works well for organizations with knowledge scattered across multiple systems — SharePoint, Google Drive, Notion, Confluence — that need a governed workflow to consolidate and reuse approved answers.
Arphie does not publish pricing or API documentation publicly, which may slow down evaluation for budget-conscious or technically oriented buyers. As a seed-stage company, its third-party review footprint is still growing.
Iris is a cloud-based RFP and questionnaire response platform for sales, presales, legal, and security teams. It centralizes company knowledge, generates AI-assisted drafts with inline citations and confidence signals, and supports collaboration, approvals, reporting, and exports for RFPs, RFIs, DDQs, and related documents. Built for teams that want faster responses without losing control over accuracy and review.

Iris is a cloud-based RFP and questionnaire response platform built for sales, presales, legal, and security teams. It centralizes company knowledge, generates AI-assisted drafts with inline citations and confidence signals, and provides collaboration, approval, and reporting tools for managing RFPs, RFIs, DDQs, and security questionnaires.
What sets Iris apart in the AI RFP space is its knowledge-ledger approach, which emphasizes current institutional knowledge over a static answer library. The platform also includes AI-driven go/no-go scoring to help teams prioritize high-value opportunities before investing response effort. With a 4.9 rating on G2 — the highest among tools in its category — and multiple 2026 badges, Iris has built strong early user satisfaction.
Founded in 2023 and headquartered in New York, Iris raised a $3M seed round led by Florida Funders in May 2025. The company integrates with GRC platforms like Drata and Vanta, creating a unique bridge between security compliance workflows and RFP response management.
Iris leverages AI to generate context-aware first drafts from the organization's accumulated knowledge base. Each answer includes inline source citations so reviewers can verify provenance, and confidence scores automatically flag uncertain responses for additional review. The platform also offers AI-powered opportunity scoring, helping teams make data-driven go/no-go decisions before beginning a response. Knowledge ingestion from connected systems keeps the AI grounded in current content rather than outdated library entries.
No public API is currently documented.
Iris uses quote-only, user-based pricing. Full platform access includes unlimited RFx, DDQ, security questionnaire, and collaborator credits. There is no public starting price or free trial listed. Teams should contact sales for a custom quote.
Iris is a strong fit for sales, presales, and security teams with recurring response workflows across RFPs, DDQs, and security questionnaires. The GRC integrations with Drata and Vanta make it particularly appealing for organizations where security compliance and proposal response overlap. Teams that value AI-grounded answers with citations and confidence scoring, combined with structured approvals and reporting, will find Iris well aligned with their needs.
Iris does not offer a public API or transparent self-serve pricing, which may slow evaluation for technically oriented or budget-constrained buyers. As a 2023-founded company with $3M in seed funding, it is still earlier-stage compared to legacy competitors in the response management space.
AutogenAI is an AI proposal writing and bid management platform for teams creating bids, tenders, proposals, and grants. It combines opportunity qualification, project management, drafting, research, review, and reusable content workflows in one cloud product. Aimed at proposal teams that need faster first drafts, compliance support, and coordinated cross-team submissions.

AutogenAI is a dedicated AI proposal writing and bid management platform designed for teams that create bids, tenders, proposals, and grants. Unlike tools focused primarily on RFP response or security questionnaire automation, AutogenAI covers the full proposal lifecycle — from opportunity qualification through drafting, research, review, and submission.
The platform is built for mid-market and enterprise proposal teams that need to produce compliant first drafts faster while coordinating contributions across multiple stakeholders. AutogenAI combines a reusable content library, AI-driven research capabilities, and structured review workflows in a single cloud product.
Founded in 2022 and backed by $65.3M in funding — including a $39.5M Series B co-led by Salesforce Ventures — AutogenAI is the best-funded dedicated proposal tool in this category. The company is headquartered in New York with UK roots.
AutogenAI's AI layer spans the full proposal workflow. It generates first drafts from company knowledge and external sources, summarizes documents, rewrites and transforms text, and performs multi-step autonomous research across internal libraries and the web. The agentic research feature goes beyond simple Q&A retrieval — it autonomously gathers, analyzes, and synthesizes information to support bid strategy decisions and strengthen proposal content.
AutogenAI currently lacks CRM integrations and communication tool connections (no Slack or Microsoft Teams), which may limit notification workflows for some teams.
AutogenAI uses a sales-led pricing model with no public pricing page or published starting price. All plans appear to be custom-quoted based on team size and requirements. Teams should expect to contact sales for pricing details and plan configuration.
AutogenAI is ideal for mid-market and enterprise proposal teams handling bids, tenders, proposals, or grants — particularly in construction and engineering, government contracting, consulting, and nonprofit sectors. It suits organizations managing complex, deadline-driven submissions that require reusable knowledge libraries, cross-team coordination, and AI-assisted drafting and research in a single integrated platform.
The lack of transparent pricing may slow evaluation for teams accustomed to self-serve purchasing. Some reviewers report a learning curve during initial onboarding, and the absence of CRM and messaging integrations may limit workflow connectivity for teams relying on tools like Salesforce or Slack.
AutoRFP.ai is a cloud SaaS platform that automates RFPs, DDQs, and security questionnaires with AI-generated drafts, source validation, and collaboration workflows. It helps proposal, sales, bid, and marketing teams reuse prior answers, internal documentation, and reviewer input to complete questionnaires faster. Positioned for SMB, mid-market, and enterprise teams handling multi-contributor response processes.
Compared to Conveyor, AutoRFP.ai starts at $499/mo.

AutoRFP.ai is a cloud SaaS platform that automates RFP, DDQ, and security questionnaire responses with AI-generated drafts, source validation, and collaboration workflows. It helps proposal, sales, bid, and marketing teams reuse prior answers, internal documentation, and reviewer input to complete questionnaires faster and with greater consistency.
A distinguishing feature of AutoRFP.ai is its library-light approach: rather than requiring teams to build and maintain a traditional answer library upfront, the platform learns from approved responses over time, so future drafts improve automatically. Every AI-generated answer includes source citations, content age indicators, and trust/confidence scores, giving reviewers clear signals about answer reliability.
Headquartered in Brisbane, Australia, AutoRFP.ai is operated by Automatic Capital Operations Pty Ltd. It is the only tool in this directory based in Australia and offers data residency options across AU, US, and EU regions.
AutoRFP.ai's AI capabilities include response drafting with semantic content matching, tone and terminology adaptation, style-based rewriting, first-time drafting when no source content exists, Go/No-Go analysis, trust and confidence scoring on generated answers, AI-powered reviewer scoring and feedback, and translation into 44+ languages. The confidence scoring system is particularly notable — it lets reviewers focus their time on low-confidence answers rather than re-reading everything.
AutoRFP.ai has one of the broadest integration sets in this category. However, it does not offer a public API or developer documentation, which may limit extensibility for technical buyers.
AutoRFP.ai uses project-based pricing rather than per-seat licensing. The Start plan is $499 per month (12 projects per month) and the Scale plan is $899 per month (24 projects per month). All plans include unlimited users, which removes collaboration friction for larger teams. Enterprise pricing is available on request. A 30-day money-back guarantee and free trial are offered. Note: there are some discrepancies between pricing listed on review platforms — teams should verify current pricing directly.
AutoRFP.ai is ideal for multi-contributor RFP response teams, DDQ and security questionnaire workflows, and organizations that want source-backed AI outputs with confidence indicators for reviewer validation. Its unlimited-user model and project-based pricing suit teams of all sizes in software, financial services, and healthcare sectors. The platform works well for organizations that want to move away from manually maintained answer libraries toward an AI system that learns from each approved response.
AutoRFP.ai does not offer a public API, which limits custom integrations and automation for technical teams. The company's founding year and funding status are not publicly confirmed, which may be a factor for enterprise buyers evaluating vendor stability.
Conveyor is a cloud-based customer trust platform that automates security questionnaires, trust-center document sharing, and RFP/RFX responses with AI. Designed for security, compliance, presales, and sales teams that need faster, more consistent answers to customer due-diligence requests. Combines a self-healing knowledge library, agentic workflow automation, integrations, analytics, and API access.
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