Do you support single sign-on?
Yes. SSO through Okta and Microsoft Entra1, with SCIM provisioning.
1Identity GuideTrust Score94.
Alternatives
AutoRFP.ai is the accuracy-first AI platform for RFPs, security questionnaires, and DDQs: every answer source-grounded and citable, with zero library maintenance. See how it compares with Qvidian, and why teams switch.
AutoRFP.ai
AI-native
Qvidian
Proposal automation

AutoRFP.ai includes a native Qvidian migration tool that pulls the full content library, tags included, and can copy thousands of content items into AutoRFP.ai in a few minutes.
AutoRFP.ai was designed around generative AI, so first drafts are accurate and on-brand in seconds instead of requiring heavy human intervention.
Near-identical approvals do not pile up as extra entries. AutoRFP.ai captures approved responses, assists with tags, and finds answers by meaning, while owners keep curation and review.
Teams report quick setup and immediate value with AutoRFP.ai, versus the steep learning curve and training load Qvidian users describe.
Comparison
A side-by-side look at the capabilities that decide RFP, DDQ, and security-questionnaire outcomes.
Qvidian is best for
Microsoft-first enterprises with mature proposal operations that work heavily in Word and Excel and need governed content reuse.
Where Qvidian shines
AutoRFP.ai is best for
Mid-to-large B2B SaaS, financial services, and regulated teams responding to high volumes of RFPs, DDQs, and security questionnaires.
Public pricing from $899/month, unlimited users, and a 30-day money-back guarantee on every plan.
Book a demoQvidian, part of Upland Software, is a long-standing proposal-automation platform. It’s strong on content governance and Office-centric workflows, which keeps it relevant for document-heavy enterprises, but it’s a legacy tool, and reviewers consistently flag a dated UI, limited AI, and a heavy content-maintenance burden.
AutoRFP.ai is the modern, AI-native alternative: cited first drafts from a library the team already owns, routine upkeep handled by capture and source updates, and a UX teams actually adopt, all on transparent, unlimited-user pricing.
The native Qvidian migration tool is built for that switch: it brings the library, tags included, into AutoRFP.ai and can copy thousands of content items in a few minutes.
Qvidian is a legacy enterprise proposal system; AutoRFP.ai is the AI-native replacement that drafts accurately from a library that maintains and improves itself. The sharper question behind Qvidian pricing research is accuracy you can defend: AutoRFP.ai writes only from approved content with a full source trail, backed by SOC 2 Type II, ISO 27001, and regional hosting across the US, EU and Australia. Prove it in a two-week proof of concept before any commitment; pricing is public, from $899/month.
AutoRFP.ai
Yes on 9 of 9
Qvidian
Yes on 1 · Partial on 3 · No on 4 · Not documented on 1
| Capability | AutoRFP.ai | Qvidian |
|---|---|---|
| AI-native platform (built on generative AI, not added later) | Yes | PartialAI added to a legacy suite |
| Zero hallucination by design (100% source-grounded answers) | Yes | No |
| A library that maintains and improves itself | Yes | NoManual content upkeep |
| Import RFPs from tens of formats | Yes5,000+ requirements; 500+ page Word files | PartialOffice-centric |
| Public, transparent pricing | Yes | No |
| Unlimited collaborator users (no per-seat fees) | YesLive co-editing, comments, and assignments | NoLicenses to contribute |
| Built-in translation and localization (44+) | Yes | – |
| SOC 2 Type II certified | Yes | PartialCites SSAE 16/18; SOC 2 not explicit |
| ISO 27001 certified | Yes | Yes |
Comparison based on public product information and verified user reviews as of November 2026. A dash (–) indicates the capability isn't clearly documented, or that the row does not apply. Zero hallucination by design means AutoRFP.ai drafts only from content your team has approved, cites the source of every answer, and routes anything it cannot support to a person for review.
Pricing
$899/mo
paid yearly
$1,299/mo
paid yearly
Flexible pricing that scales with your business
Every plan includes
FAQ
Something else on your list? Bring it to a demo and we will answer it on one of your own questionnaires.
AutoRFP.ai is the leading Qvidian alternative for teams that want a modern, AI-native platform that still honors a governed library.
It drafts cited answers from approved content, captures that work for reuse, and offers transparent flat pricing with a quick setup.
Qvidian's pricing isn't publicly listed, you contact Upland for a quote, and SMEs may need licenses to contribute. AutoRFP.ai publishes flat pricing from $899/month with unlimited users and no per-seat fees.
Yes. AutoRFP.ai is built for high-volume, enterprise response work with SOC 2 Type II and ISO 27001 certifications, SSO, audit trails, and advanced reporting, without the dated UI and manual content maintenance Qvidian users cite.
AutoRFP.ai has a native Qvidian migration tool. Give it a library export and it brings answers plus metadata such as tags across, replicating thousands of content items in a few minutes.
Qvidian, owned by Upland Software, is an enterprise proposal and RFP content-management platform with a strong Microsoft Office heritage.
It excels at governed content reuse for polished proposals, and its automation predates the current generation of AI-native drafting engines.
Qvidian's strength is structured content management, with AI capabilities layered on top of that document-centric foundation.
AutoRFP.ai takes the opposite approach, an accuracy-first AI response engine built on generative AI from the start, drafting 100% source-grounded answers from your approved content.
Qvidian reviews credit its content governance and Office integration, while recurring criticisms mention a dated interface and the modernization gap versus newer AI tools.
Teams comparing Qvidian alternatives usually weigh that maturity against AI-native speed, AutoRFP.ai pairs the latter with SOC 2 Type II and ISO 27001.
Book a demo
We'd rather show you than tell you: prove it side by side with Qvidian in a two-week proof of concept.