Quivr

Name: Quivr
Brand: Quivr

AI Native

Take control of your identity in all facets of your life. Showcase what matters about you, on your terms.

Est 2022|Raised $4M|14 Ref Customers

LinkedIn 3K|Web traffic 5K|FTEs 3|HQ Paris, Île-de-France, FR

MarketsCS Knowledge Management System (KMS)

Published Sep 23, 2026

01Common complaints

If an organization needs a single, unified helpdesk platform
- Quivr is an add-on automation layer; organizations seeking a single-vendor helpdesk/messaging solution may prefer Intercom, Zendesk, or Freshdesk native offerings.
If clearly documented third-party validation and abundant public reviews are required
- Quivr has limited accessible public reviews on major platforms (G2/TrustRadius/Gartner) in this research.
If clearly documented enterprise security features are required prior to procurement
- While the vendor asserts SOC 2 Type 1 and GDPR readiness, details such as ISO certifications, data residency options, SSO/SCIM, and pen test disclosures were not found in the public sources reviewed.
If the primary requirement is an internal "chat with documents" knowledge assistant
- The open-source Quivr second-brain ecosystem exists separately and may not map directly to the commercial quivr.com support automation product; purpose-built internal knowledge tools or RAG frameworks may be more appropriate depending on requirements.
If the organization cannot operationalize AI governance
- Action-taking automation (refunds, order modifications) increases financial and compliance risk without strong controls, QA processes, and auditability.
Limited independent review coverage
- In this research, Quivr (quivr.com) had minimal accessible reviews on major B2B review platforms.
Documentation gaps for enterprise buyers
- Public documentation on ISO certifications, SSO/SCIM, audit logs, data residency, and penetration test programs was not found.
Potential naming confusion (commercial product vs open-source project)
- The Quivr name applies to both a commercial support automation product and an open-source RAG/second-brain project; buyers should confirm which product they are contracting for and the applicable security/compliance posture.
Roadmap / future features
- Roadmap details and delivery dates were not found in the reviewed sources; buyers should request a product roadmap and delivery commitments during procurement.

- If an organization needs a single, unified helpdesk platform - Quivr is an add-on automation layer; organizations seeking a single-vendor helpdesk/messaging solution may prefer Intercom, Zendesk, or Freshdesk native offerings. - If clearly documented third-party validation and abundant public reviews are required - Quivr has limited accessible public reviews on major platforms (G2/TrustRadius/Gartner) in this research. - If clearly documented enterprise security features are required prior to procurement - While the vendor asserts SOC 2 Type 1 and GDPR readiness, details such as ISO certifications, data residency options, SSO/SCIM, and pen test disclosures were not found in the public sources reviewed. - If the primary requirement is an internal "chat with documents" knowledge assistant - The open-source Quivr second-brain ecosystem exists separately and may not map directly to the commercial quivr.com support automation product; purpose-built internal knowledge tools or RAG frameworks may be more appropriate depending on requirements. - If the organization cannot operationalize AI governance - Action-taking automation (refunds, order modifications) increases financial and compliance risk without strong controls, QA processes, and auditability. - Limited independent review coverage - In this research, Quivr (quivr.com) had minimal accessible reviews on major B2B review platforms. - Documentation gaps for enterprise buyers - Public documentation on ISO certifications, SSO/SCIM, audit logs, data residency, and penetration test programs was not found. - Potential naming confusion (commercial product vs open-source project) - The Quivr name applies to both a commercial support automation product and an open-source RAG/second-brain project; buyers should confirm which product they are contracting for and the applicable security/compliance posture. - Roadmap / future features - Roadmap details and delivery dates were not found in the reviewed sources; buyers should request a product roadmap and delivery commitments during procurement.

Why some customers left for competitors (churn reasons)

No direct churn narratives for Quivr (official product site) were found in the accessible sources. Community-level commentary about incumbents suggests pricing complexity and unexpected costs are a common reason for churn in the category.

02Why they buy

Explicit per-action usage pricing combined with a base subscription
- The vendor publishes line-item pricing for actions such as draft suggestions, tagging, and auto-resolution rather than relying solely on per-seat bundles.
Emphasis on action-taking automation
- The product emphasizes integrations that enable not only information retrieval but execution of actions (refunds, contact updates, order modifications) via integrations.
Helpdesk-native workflow insertion
- Presence in Zendesk Marketplace and Freshworks Marketplace indicates the vendor intends the product to run directly within agent workflows rather than requiring platform migration.
Balanced view: where competitors likely have advantages
- Larger incumbents often provide more mature admin tooling, reporting, and enterprise governance controls out of the box. Intercom and Zendesk may provide deeper native integration across channels and broader operational feature sets.

- Explicit per-action usage pricing combined with a base subscription - The vendor publishes line-item pricing for actions such as draft suggestions, tagging, and auto-resolution rather than relying solely on per-seat bundles. - Emphasis on action-taking automation - The product emphasizes integrations that enable not only information retrieval but execution of actions (refunds, contact updates, order modifications) via integrations. - Helpdesk-native workflow insertion - Presence in Zendesk Marketplace and Freshworks Marketplace indicates the vendor intends the product to run directly within agent workflows rather than requiring platform migration. - Balanced view: where competitors likely have advantages - Larger incumbents often provide more mature admin tooling, reporting, and enterprise governance controls out of the box. Intercom and Zendesk may provide deeper native integration across channels and broader operational feature sets.

Why customers chose this product over alternatives (inferred from positioning + ecosystem listings)

Likely reasons
- Integration within existing Zendesk/Freshdesk workflows (no platform migration required)
- Automation that can execute actions via integrations (e.g., refunds)
- Usage-based pricing (per-action billing) may be preferred by some organizations compared with published per-seat AI add-ons depending on volume and usage patterns

03Field reports

Important context on review availability

Traditional B2B review platforms (G2, TrustRadius, Gartner Peer Insights)
- No clearly attributable, product-specific Quivr (official product site) pages were found on G2 or TrustRadius in the accessible sources during this research.
- Gartner Peer Insights search did not surface a Quivr product page in the accessible results.
The most concrete third-party review-like content in the accessible dataset was:
- Zendesk Marketplace listing (small number of reviews with a top-line high rating displayed)
- Freshworks Marketplace listing entry (rating details not visible in the captured snippet)
- Community discussions (Reddit) that largely reference the open-source Quivr project rather than the commercial support automation product

- Traditional B2B review platforms (G2, TrustRadius, Gartner Peer Insights) - No clearly attributable, product-specific Quivr (official product site) pages were found on G2 or TrustRadius in the accessible sources during this research. - Gartner Peer Insights search did not surface a Quivr product page in the accessible results. - The most concrete third-party review-like content in the accessible dataset was: - Zendesk Marketplace listing (small number of reviews with a top-line high rating displayed) - Freshworks Marketplace listing entry (rating details not visible in the captured snippet) - Community discussions (Reddit) that largely reference the open-source Quivr project rather than the commercial support automation product

Quotes and sentiment from accessible sources

Zendesk Marketplace (Quivr app)
- The listing shows a small number of reviews and a top-line high rating in the public listing (very small sample size); full review text was not available in the captured excerpt.
Reddit (open-source “second brain” Quivr)
- Example feedback includes difficulty running the open-source project locally for some users.
- Example comment referencing availability of a web app for that open-source project was also present in historical community posts.

- Zendesk Marketplace (Quivr app) - The listing shows a small number of reviews and a top-line high rating in the public listing (very small sample size); full review text was not available in the captured excerpt. - Reddit (open-source “second brain” Quivr) - Example feedback includes difficulty running the open-source project locally for some users. - Example comment referencing availability of a web app for that open-source project was also present in historical community posts.

Specific outcomes customers achieved (with metrics when available)

Vendor-claimed outcomes (not independently validated)
- Marketing statements include claims of automating a large portion of support tickets, substantial time savings, short average response times, very high customer satisfaction, millions of tickets handled, faster resolution, and high CSAT scores. These claims should be validated for methodology, sample size, and attribution before being used as procurement evidence.

Vendor-published case study: Ponti Capital (vendor blog)

Summary (vendor narrative)
- The case study describes how Quivr assisted Ponti Capital after an acquisition involving a golf app with sparse documentation, focusing on ingesting and summarizing documentation and supporting onboarding to the codebase.
Critical notes
- The case study appears more directly related to the "chat with docs / second brain" use case than to Zendesk/Freshdesk ticket automation.
- Metrics provided are qualitative in the excerpt and do not include an independently verified ROI methodology.

- Summary (vendor narrative) - The case study describes how Quivr assisted Ponti Capital after an acquisition involving a golf app with sparse documentation, focusing on ingesting and summarizing documentation and supporting onboarding to the codebase. - Critical notes - The case study appears more directly related to the "chat with docs / second brain" use case than to Zendesk/Freshdesk ticket automation. - Metrics provided are qualitative in the excerpt and do not include an independently verified ROI methodology.

Quivr “Customer Support Audit” microsite

Vendor-claimed dataset and methodology
- The microsite claims analysis of a large number of audits and assessments across many companies.
Critical notes
- The methodology is referenced as "open" in the microsite, but full methodological details were not visible in the captured excerpt. Buyers relying on these benchmarks should request:
  - Full methodology documentation
  - Definitions (e.g., what constitutes an "audit")
  - Data collection windows and sources
  - Statistical caveats and discussion of sampling bias

- Vendor-claimed dataset and methodology - The microsite claims analysis of a large number of audits and assessments across many companies. - Critical notes - The methodology is referenced as "open" in the microsite, but full methodological details were not visible in the captured excerpt. Buyers relying on these benchmarks should request: - Full methodology documentation - Definitions (e.g., what constitutes an "audit") - Data collection windows and sources - Statistical caveats and discussion of sampling bias

04Best fit

Company sizes
- Likely best fit:
  - Small to mid-market organizations
  - Small to mid-sized support teams
  - Ticket volumes that justify automation while usage-based/transactional pricing remains manageable with governance
Industries and verticals where adoption is strongest
- Examples implied by integration and automation examples:
  - E-commerce (popular storefront platforms, shipping carriers, payments)
  - Subscription and digital services with frequent refund or account update requests
Roles and personas
- Decision makers
  - Head of Support / CX leader
  - Support Operations / Systems owner
  - VP Operations / COO (for automation ROI evaluation)
- End users
  - Support agents working in Zendesk/Freshdesk
  - Knowledge managers and content owners
Pain points and challenges the product addresses
- High volume of repetitive tickets
- Need to reduce handle time and first response time
- Fragmented knowledge across Drive/Notion/Help Center/internal systems
- Repetitive actions that can be automated (refunds, address changes, subscription updates)
Qualification criteria: what makes a GOOD fit
- Organization already operates a helpdesk with clear workflows and policies
- Knowledge sources are reasonably maintained and consistent
- The organization can define and enforce allowed actions (refund thresholds, escalation rules)
Deal disqualifiers: what makes a POOR fit
- Requirement for fully documented enterprise controls (SSO/SCIM/data residency) prior to any pilot when the vendor cannot provide them
- Extremely strict compliance requirements (HIPAA/PCI) without vendor documentation or contractual guarantees
- Ticket volumes so high that usage-based pricing becomes less predictable than seat-based pricing without substantial governance

- Company sizes - Likely best fit: - Small to mid-market organizations - Small to mid-sized support teams - Ticket volumes that justify automation while usage-based/transactional pricing remains manageable with governance - Industries and verticals where adoption is strongest - Examples implied by integration and automation examples: - E-commerce (popular storefront platforms, shipping carriers, payments) - Subscription and digital services with frequent refund or account update requests - Roles and personas - Decision makers - Head of Support / CX leader - Support Operations / Systems owner - VP Operations / COO (for automation ROI evaluation) - End users - Support agents working in Zendesk/Freshdesk - Knowledge managers and content owners - Pain points and challenges the product addresses - High volume of repetitive tickets - Need to reduce handle time and first response time - Fragmented knowledge across Drive/Notion/Help Center/internal systems - Repetitive actions that can be automated (refunds, address changes, subscription updates) - Qualification criteria: what makes a GOOD fit - Organization already operates a helpdesk with clear workflows and policies - Knowledge sources are reasonably maintained and consistent - The organization can define and enforce allowed actions (refund thresholds, escalation rules) - Deal disqualifiers: what makes a POOR fit - Requirement for fully documented enterprise controls (SSO/SCIM/data residency) prior to any pilot when the vendor cannot provide them - Extremely strict compliance requirements (HIPAA/PCI) without vendor documentation or contractual guarantees - Ticket volumes so high that usage-based pricing becomes less predictable than seat-based pricing without substantial governance

05The pitch

What the product does (core value proposition in objective terms)

Quivr (vendor website and product pages) is an AI-based customer support automation layer that integrates with existing helpdesks (notably Zendesk and Freshdesk) to:
- Draft agent replies inside the ticket UI (a co-pilot style drafting workflow)
- Auto-route and tag tickets
- Automatically resolve certain tickets when configured conditions and confidence thresholds are met
- Maintain knowledge sources and provide operational insights and analytics for support teams
Vendor marketing describes the product as composed of “six AI agents” with specialized roles (drafting, action execution, routing, engagement, analytics, knowledge management). This characterization is presented as a marketing concept to describe functional modules.

- Quivr (vendor website and product pages) is an AI-based customer support automation layer that integrates with existing helpdesks (notably Zendesk and Freshdesk) to: - Draft agent replies inside the ticket UI (a co-pilot style drafting workflow) - Auto-route and tag tickets - Automatically resolve certain tickets when configured conditions and confidence thresholds are met - Maintain knowledge sources and provide operational insights and analytics for support teams - Vendor marketing describes the product as composed of “six AI agents” with specialized roles (drafting, action execution, routing, engagement, analytics, knowledge management). This characterization is presented as a marketing concept to describe functional modules.

Target market and market positioning

Primary target appears to be SMB-to-midmarket support teams and some larger support operations functions that:
- Already use a helpdesk (Zendesk/Freshdesk) and prefer AI assistance without migrating platforms
- Seek automation that can execute actions (refunds, order edits) via integrations in addition to generating text
A secondary/adjacent positioning exists around an open-source developer framework under the Quivr name (see developer documentation on the vendor's open-source docs site). This creates potential brand ambiguity between the support automation product and the open-source RAG/second-brain project (see Critical Analysis).

- Primary target appears to be SMB-to-midmarket support teams and some larger support operations functions that: - Already use a helpdesk (Zendesk/Freshdesk) and prefer AI assistance without migrating platforms - Seek automation that can execute actions (refunds, order edits) via integrations in addition to generating text - A secondary/adjacent positioning exists around an open-source developer framework under the Quivr name (see developer documentation on the vendor's open-source docs site). This creates potential brand ambiguity between the support automation product and the open-source RAG/second-brain project (see Critical Analysis).

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