Steerlab is ai software for rfps, proposals, and security questionnaires, with quote-based pricing. Its key strengths include: strong ai-assisted drafting across rfps, proposals, and security questionnaires; solid collaboration, review, and workflow features for cross-functional response teams.
The best alternative to Steerlab is Arphie. If that doesn't suit you, we've compiled a ranked list of other options below. Other interesting alternatives to Steerlab include Inventive AI, Iris, Savix, SparrowGenie.
While Steerlab is a strong contender, there are a few reasons teams look for other options:
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.
Inventive AI is a cloud-based response management platform that helps teams answer RFPs, RFIs, DDQs, and security questionnaires using AI-generated drafts, a centralized knowledge hub, and approval workflows. It connects to content systems and CRMs so teams can reuse approved answers, view source-backed responses, and flag conflicting content before submission. It is designed for proposal, sales, solutions, RevOps, and security teams that manage recurring questionnaires.

Inventive AI is a cloud-based response management platform that helps teams answer RFPs, RFIs, DDQs, and security questionnaires using AI-generated drafts, a centralized knowledge hub, and structured approval workflows. The platform connects to content systems and CRMs so teams can reuse approved answers, view source-backed responses, and flag conflicting content before submission.
Built for proposal, sales, solutions, RevOps, and security teams, Inventive AI focuses on accelerating the response cycle while maintaining accuracy through features like in-proposal conflict detection and source-linked answers. The platform is designed to handle both sales-oriented RFPs and compliance-heavy DDQs and security questionnaires in a single workspace.
Founded in 2023 as part of Y Combinator's W24 batch, Inventive AI is headquartered in Mountain View, California and has raised $4M in seed funding led by Sierra Ventures with participation from Y Combinator, SOMA Capital, and General Catalyst.
Inventive AI's engine goes beyond basic text generation by producing context-aware, source-linked responses tied to the organization's approved knowledge. The platform includes in-proposal conflict detection that flags inconsistent answers within a single submission, helping teams catch errors before they reach the buyer. Additional AI agents assist with requirements clarification, competitor research, and questionnaire summarization — extending AI assistance beyond just drafting answers.
No public API documentation is currently available.
Inventive AI uses quote-only pricing with no public pricing page or disclosed starting price. A free trial is available according to third-party sources, though the trial duration is not specified. Teams should contact sales directly for a custom quote.
Inventive AI is well suited for mid-market and enterprise proposal and sales teams that handle recurring RFPs, RFIs, and questionnaires and want AI-generated first drafts tied to verified source content. It also fits security and vendor-assessment teams answering DDQs with centralized knowledge and cross-functional review workflows. The conflict detection feature is particularly valuable for teams managing complex, multi-section proposals with multiple contributors.
As an early-stage startup (YC W24, approximately 10 employees), Inventive AI has a smaller customer base and fewer published case studies compared to established players like Responsive or Loopio. There is no public API documentation or self-serve pricing, which may add friction for smaller or more technical buyers.
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.
Savix is an AI-powered RFP automation platform that drafts proposal responses from your company documents and verifies every claim against source material. Unlike tools that show confidence scores, Savix maps each generated answer to direct quotes from uploaded documents, classifying claims as supported, partially supported, unsupported, or rescued. Designed for proposal, security, and sales teams at B2B companies that respond to RFPs, DDQs, and vendor questionnaires.
Compared to Steerlab, Savix has transparent pricing starting at $79/mo.

Savix is an AI-powered RFP automation platform built around a core principle: every AI-generated answer should be traceable to source evidence. The platform drafts RFP responses from your uploaded company documents — policies, past proposals, certifications, technical specs — and then verifies every claim against those sources before you submit.
What sets Savix apart from other RFP tools is its Evidence Verification engine. While most platforms generate answers with opaque confidence scores, Savix maps every claim to a direct quote from your documents and classifies it into one of four states: supported, partially supported, unsupported, or rescued. This gives reviewers a clear picture of what's proven and what needs attention — before the response reaches the prospect.
Savix offers transparent per-user pricing starting at $79/month with a 14-day free trial, making it one of the most accessible tools in the RFP automation space. The platform is currently in its early growth phase, focused on B2B teams that need fast, verifiable RFP responses without enterprise-grade implementation timelines.
Savix's AI is document-grounded — every response is generated exclusively from the user's uploaded documents, never from generic training data. The Evidence Verification engine performs a four-state classification on every generated claim: supported (backed by a direct quote), partially supported (evidence exists but the claim extends beyond sources), unsupported (no source found, flagged for review), and rescued (resolved after the user adds new documents). The platform also includes semantic search across the knowledge base, natural-language AI Assistant for ad-hoc queries, and AI text transforms for tone and format adjustments.
API access is available on the Enterprise plan. No public API documentation yet. The platform accepts document uploads in PDF, Word, Excel, PowerPoint, CSV, and plain text formats.
Savix offers the most transparent pricing in the RFP automation space. The Pro plan starts at $79/month (billed annually) with 3 seats, 15 projects/month, and full Evidence Verification. The Team plan at $199/month adds 10 seats, unlimited projects, branded exports, and verification report exports. Enterprise pricing is custom and includes SSO/SAML, SCIM provisioning, API access, and audit logs. All plans include a 14-day free trial with no credit card required.
Savix is best suited for B2B proposal teams, security teams, and sales organizations that need verified RFP responses they can stand behind. The evidence verification approach is particularly valuable for teams in regulated industries where compliance claims carry legal weight — financial services, healthcare, cybersecurity, and government. Its transparent pricing and fast onboarding make it accessible for SMB and mid-market teams that find enterprise RFP platforms too expensive or complex.
Savix is in its early growth phase with no third-party integrations, no G2 or Capterra reviews, and a smaller track record than established competitors. Teams that require deep CRM integration, advanced collaboration workflows, or extensive marketplace integrations may need to evaluate whether the platform's current feature set meets their requirements.
SparrowGenie is a cloud-based response management platform for RFPs, proposals, DDQs, and security questionnaires. It combines AI drafting with confidence scoring, a governed knowledge hub, workflow routing, and collaboration for sales, RevOps, legal, security, and compliance teams that need faster, more controlled response workflows. A product of SurveySparrow.
Compared to Steerlab, SparrowGenie has transparent pricing starting at $9,999/yr.

SparrowGenie is a cloud-based response management platform for RFPs, proposals, DDQs, and security questionnaires, built by the team behind SurveySparrow. The platform combines AI-powered answer drafting with a governed knowledge hub, cross-functional collaboration workspaces, and detailed reporting to help sales, RevOps, legal, security, and compliance teams manage response workflows more efficiently.
A distinguishing feature of SparrowGenie is its AI mapping capability, which auto-detects sections, categories, and answer types when importing questionnaires, routing unclear items to a diagnosis queue for human review. This structured approach to document intake helps teams move from raw questionnaire to organized response workspace faster than manual setup.
SparrowGenie is a product of SurveySparrow Inc., founded in 2017 and headquartered in Palo Alto, California. The parent company raised $1.4M in seed funding from Prime Venture Partners in 2019. SparrowGenie leverages SurveySparrow's deep expertise in survey and questionnaire workflows to address the response management market.
SparrowGenie's Genie AI drafts complete answers grounded in the organization's knowledge hub, with each response accompanied by a confidence score. The system includes conflict detection that identifies inconsistent answers and routes them for resolution. AI mapping streamlines document intake by automatically categorizing imported questionnaire content. Low-confidence answers are routed to improvement queues for human review, and AI-powered search provides instant answer retrieval across the knowledge base.
SSO is confirmed as a feature, though specific providers are not publicly named. No public API documentation is available.
SparrowGenie offers transparent, team-based pricing — one of the few tools in its category with publicly listed prices. The Essentials plan starts at $9,999/year for up to 10 users and 25 projects, while the Professional plan is $16,999/year for 25 users and 50 projects. Enterprise pricing is custom. A 14-day free trial is available with no credit card required.
SparrowGenie is a strong fit for mid-market and enterprise teams that manage cross-functional RFP, DDQ, and security questionnaire workflows with multiple reviewers across sales, legal, security, and compliance. The combination of governed knowledge reuse, conflict detection, and structured collaboration makes it well suited for organizations that need accountability and consistency in their response process. Teams that value submission-ready exports in the buyer's original format will also benefit.
SparrowGenie's team-based pricing starting at $9,999/year may not suit very small teams or solo operators. There is no public API, which limits extensibility for teams with custom integration needs.
SEQUESTO is a cloud-based AI response platform for RFPs, tenders, DDQs, and security or compliance questionnaires. It centralizes reusable company knowledge via its Collective Memory model, analyzes source documents, drafts answers, and supports collaboration, proposal building, and bid qualification workflows. Built for proposal, tender, pre-sales, and questionnaire teams handling recurring, document-heavy response work across multiple languages.

SEQUESTO is a cloud-based AI response platform for RFPs, tenders, DDQs, and security or compliance questionnaires. It centralizes reusable company knowledge through its proprietary Collective Memory model — a system that stores prior proposals, certifications, service descriptions, templates, and boilerplates so the AI can draw from vetted organizational knowledge when drafting responses.
The platform is designed for proposal, tender, pre-sales, and questionnaire teams that handle recurring, document-heavy response work across multiple languages. SEQUESTO supports the full response lifecycle: document analysis, answer generation, embedded document editing, collaboration, bid qualification, and management reporting.
Founded in 2020 and headquartered in Gent, Belgium, SEQUESTO raised a €2.5M seed round from Smartfin and Newion in September 2025. It is the only tool in this category with explicit multilingual retrieval, translation, and rephrasing capabilities built into its core workflow.
SEQUESTO uses retrieval-augmented generation (RAG) to draft responses grounded in the organization's Collective Memory. AI capabilities include tender document analysis, auto-answering and questionnaire autofill, generative response drafting, cross-lingual information retrieval, translation, rephrasing, document summarization, bid/no-bid decision support, and attachment identification and mapping. The multilingual retrieval system can find relevant source content regardless of the language it was originally written in.
SEQUESTO currently has no documented third-party integrations. There are no CRM, cloud storage, communication, or SSO integrations listed, and no public API. This is the most integration-sparse tool in this category, which may be a significant factor for teams that need SEQUESTO to fit into an existing tool stack.
SEQUESTO's pricing page lists four plan tiers — Essentials, Plus, Advanced, and Enterprise — with feature descriptions for each, but no public prices are displayed. Access is available through request-access, request-demo, or contact-sales flows. Teams should expect a sales-led purchasing process.
SEQUESTO is ideal for multilingual RFP and tender response teams handling large document sets and repeated submissions, particularly across European markets. It suits DDQ and security or compliance questionnaire workflows that benefit from AI-assisted autofill paired with a deep reusable knowledge base. The platform works well for organizations in software, financial services, medical devices, IT services, facilities management, and HR that want to reduce knowledge loss, deadline risk, and version-control issues in collaborative proposal work.
The lack of any documented integrations or public API is SEQUESTO's most notable limitation — teams with existing CRM, cloud storage, or messaging workflows will not find out-of-the-box connections. Pricing transparency is also limited, with no public pricing amounts or free trial details available.
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 Steerlab, AutoRFP.ai has transparent pricing starting 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.
Steerlab is a cloud-based AI platform for responding to RFPs, RFIs, proposals, and vendor security questionnaires. It helps presales, proposal, and security teams generate answers, manage reusable content, collaborate on reviews, and track response performance.
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