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Qvidian

Library-first RFP and proposal automation from Upland Software

Austin, TX · Acquired (Upland Software)

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5.7/10 overall

What is Qvidian?

Qvidian is a library-first RFP and proposal automation platform sold by Upland Software, which acquired it in 2017. The product centralizes approved proposal content in one governed library, then helps teams assemble responses through autosearch, autofill, and an AI Assist layer. It is aimed at enterprise proposal operations that prize consistency, control, and reporting over raw AI speed.

How the automation works

Qvidian’s foundation is a structured content library rather than source-connected generation. Contributors search the library, autofill matching answers into a response, and lean on AI Assist to draft or reshape text for tone and length. That model speeds up repeatable, structured proposals, but its answer quality depends on how well the library is maintained. G2 reviewers report AI Assist handles simple questions well and struggles with complex or nuanced ones, so teams should expect a real editing pass (as of July 2026).

Content governance

Qvidian gives content managers concrete governance controls: role-based permissions, content expiration dating, and usage tracking, wrapped in review and approval workflows. The trade-off is upkeep. Capterra reviewers describe maintaining content and managing styles as time-consuming — keeping the library accurate is a human job (as of July 2026).

Workflow and reporting

Workflow is one of Qvidian’s stronger dimensions. It supports task assignment, in-product messaging, and automated review/approval routing so multiple contributors can coordinate on a single bid. Its reporting is a genuine differentiator: 70+ prebuilt reports plus a drag-and-drop custom report builder give proposal managers visibility into content usage and outcomes that most competing tools lack — though Capterra reviewers note deeper report customization can require coding knowledge (as of July 2026).

Where it fits

Qvidian suits large, structured proposal operations — including financial institutions — that already run a governed content library and value analytics and process control. Teams that want deal-contextual, cited first drafts with minimal editing, live source syncing, or fast onboarding will find its library-first, quote-priced model and dated interface a poorer fit than AI-native alternatives (per G2 and Capterra reviewers, as of July 2026).

Scorecard

How we score
Autonomous Response Agent · 40%
5.0
Autonomous Content Governance · 30%
5.5
Workflow & Collaboration · 20%
8.0
UI/UX & Ease of Use · 10%
4.5

Good for

  • +Centralized, permissioned content library with expiration dating and usage tracking
  • +Deep reporting via 70+ prebuilt reports and a custom report builder
  • +Task assignment and automated review/approval workflows for multi-contributor bids
  • +Native Microsoft Office (Word, Excel, PowerPoint) and Salesforce integration

Not great for

  • AI Assist handles simple questions but struggles with complex or nuanced ones, raising manual effort (G2, as of July 2026)
  • Interface is described as complicated and dated with a learning curve (Capterra, as of July 2026)
  • Implementation and content maintenance are time-consuming; one reviewer advised phasing rollout over a year (Capterra, as of July 2026)

Capabilities

  • Central content library with role-based permissions and expiration dating
  • Autosearch and autofill for responding to RFP questions
  • AI Assist for generating and revising response tone, length, and voice
  • Automated questionnaire processing via document parsing
  • 70+ prebuilt reports plus a drag-and-drop custom report builder

Security & compliance

  • Marketed as trusted by 8 of the 10 largest US banks (vendor claim)
  • Specific certifications not detailed on the public product page

Collaboration

  • Task assignment to stakeholders
  • In-product messaging threads
  • Automated review and approval workflows

Use cases

  • RFP response
  • Proposal management
  • Content library governance
  • Statements of work and presentations

Integrations

CRM
Salesforce
Productivity
Microsoft Word, Microsoft Excel, Microsoft PowerPoint
Communication
Microsoft Teams

Pricing

Model
Quote
Starting price
Not publicly disclosed
Billing
Quote-based; not publicly disclosed

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FAQ

Does Qvidian use AI to write responses?
Yes, through a feature called AI Assist that can generate new responses and revise tone, length, and voice, and can parse incoming questionnaires. In practice, G2 reviewers report it performs well on simple questions but struggles with complex or nuanced ones, so meaningful editing is still expected (as of July 2026).
How is Qvidian priced?
Pricing is quote-based and not publicly disclosed; a sales conversation is required (as of July 2026). Reviewers note total cost of ownership can rise with add-ons, services, and paid licenses for contributing SMEs.
How long does Qvidian take to implement?
Implementation is not instant. Capterra reviewers describe a learning curve and time-consuming content setup, with one advising the rollout be phased over roughly a year rather than rushed (as of July 2026).