≈ 3visits/mo
Emerging · estimate, read 2026-10-13
- For
- companies with knowledge scattered across Drive, Slack and Notion, and teams deploying AI agents
- Price
- Free plan · From $10/user/mopricing page, read 2026-10-14 ↗
- Activity
- Maintainedrelease 4 months ago · site updated 5 months ago
- Company
- Rolle Ltd · Domain since 2026privacy policy · domain registered
- Runs as
- APICLI
- answer employee questions from scattered docs, wikis and chat
- keep agents citing current documents rather than superseded ones
- locate who holds expertise on a given topic
- Domain since2026domain registered
- Run byRolle Ltdprivacy policy ↗
- Trains on your dataNoprivacy policy ↗
- Certifications they stateISO 27001 · HIPAA · GDPRtrust center ↗
- Trust centertheir owntrust center ↗
- Privacy policy updated2026-05-09privacy policy ↗
“We do not use customer content to train AI models.”
privacy policy ↗
These are Quelvio's own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.
- MCP servercom.quelvio/mcp-serververified in the MCP registry
- Stateanswers, 3 toolschecked 2026-10-14
- Address to connectmcp.quelvio.com/http
- MCP docsquelvio.com/docs/mcpthe vendor's page ↗
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
Figure and bar: visits/mo, estimate · year: online since
- #1
GeminaMCP · sign-in
Extracts typed fields from documents, then searches, totals and answers questions over them through an API.
5ActiveFrom $25/mo - #2
Knoku
Indexes documentation sources and answers questions with citations across widgets, Slack, Discord, and APIs.
32 linking domainsMaintainedFrom $129/mo - #3
LlamaIndex
Parses and extracts structured data from complex documents using agentic OCR and layout-aware processing.
13.7kActiveFrom $50/mo2023 - #4
CustomGPT.ai Researcher
Creates custom AI chatbots from business documents without coding, with source citations and anti-hallucination safeguards.
5kActiveFrom $89/mo2023 - #5
Context LinkMCP · open
Connects business documents and data sources so AI assistants can retrieve grounded, source-backed context across your organization.
191ActiveFrom $19/user/mo - #6
Next Generation Agentic RAG
Retrieves and refines document context for AI models, filtering noise and recovering missing information across pages.
359 linking domainsActiveFrom $5.99/mo
What is Quelvio?
Ingests a company's documents, chats, videos and tickets, then serves authority-ranked passages to people and AI agents through an API, CLI and MCP server. It is listed in the Atlas under Documents and made by Rolle Ltd.
Who is Quelvio for?
companies with knowledge scattered across Drive, Slack and Notion, and teams deploying AI agents
How much does Quelvio cost?
Quelvio has a free plan; paid plans start at $10/user/mo, per its pricing page on 2026-10-14.
Is Quelvio free?
Yes, Quelvio has a free plan, per its pricing page on 2026-10-14.
Do people use Quelvio?
Emerging: ≈ 3 visits/mo · estimate, 2026-10 · 15 installs/mo (npm).
Is Quelvio still maintained?
Maintained: release 4 months ago · site updated 5 months ago.
Who owns Quelvio?
Quelvio is run by Rolle Ltd, per its privacy policy (2026-10-14).
Does Quelvio train AI on your data?
No, per its privacy policy (2026-10-14): “We do not use customer content to train AI models.”
Is Quelvio safe?
We do not audit vendors. What Quelvio publishes, read 2026-10-14: ISO 27001, HIPAA, GDPR stated on its trust center; on training with your data, “We do not use customer content to train AI models.”.
Is Quelvio HIPAA compliant?
Quelvio states HIPAA compliance on its trust center (2026-10-14). We have not verified it.
What are alternatives to Quelvio?
In Documents, by use: Gemina, Knoku, LlamaIndex, CustomGPT.ai Researcher, Context Link, Next Generation Agentic RAG.
Not quite it? Describe the job
betaFive tools from the Atlas that fit it, each judged against what you wrote.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.