Connected to every system — the intelligence context layer for humans and agents.
Quelvio continuously understands your company's knowledge across every system — what's authoritative, what's recent, what's persistent, what's temporary, and what should be forgotten.
Most enterprise knowledge lives scattered in videos, PDFs, threads, and people's heads — invisible to search, impossible to synthesize. And as companies deploy AI agents, context becomes the bottleneck. LLMs can retrieve fragments. MCP can connect to tools. Neither creates a persistent, evolving understanding of your company.
Quelvio does. The universal context engine for institutional memory of how your company actually works, served to people and agents in milliseconds. Same brain whether you're 50 or 50,000.
Memory for your orgNo engineering required
Most agents today retrieve whatever indexed first. They quote a runbook written in 2024 and miss the rewrite from last week. They cite a Slack thread without knowing it was contradicted by a Notion doc. They surface duplicate content with no idea which version is canonical.
Quelvio gives your agents the same context your senior engineers have — what's current, who said it, whether it's still valid. Same retrieval pipeline, same authority ranking, same supersession detection. Your agents stop guessing.
Instead of scanning every document for every query, Quelvio routes each question to exactly the right passages, ranked by who knows what. The result: answers in milliseconds, fewer tokens per query, and citations that point to current expert thinking — not whatever indexed first.
PDFs and Word docs. Videos and meeting recordings. CRMs, tickets, codebases and databases. Slack threads and Notion pages. Spreadsheets, slide decks, audio interviews, scanned images. Quelvio extracts meaning from all of it — text, transcripts, slide content, image OCR — and folds everything into a single searchable brain.
Connect any source. Documents, wikis, threads, spreadsheets — pulled in with permissions intact.
Each document split into meaning-based passages, then vectorized — so retrieval happens at the passage level by meaning, not by keywords. Answers cite the exact paragraph.
Stored in a vector DB with three layers of context: taxonomy classification (routes queries to the right expertise), authority scoring (ranks by who wrote it), and a cross-reference graph (agreement, disagreement, supersession). Stale content is demoted; current thinking surfaces.
At query time, the top-k matched passages return with citations, authority rank, and lifecycle state — permission-aware end to end.
Quelvio Brain composes the answer over the retrieved passages — every claim traced to its source.
Wire any AI agent — or build your own — into the same knowledge layer. The CLI, the MCP server, the REST API, and framework SDKs all front the same retrieval + synthesis pipeline. Direct OpenAI, Anthropic, and Mistral function-calling specs ship in the docs.
npm i -g @quelvio/clihttps://mcp.quelvio.com/httpPick your stack — each tile shows the exact wire-up:
Anthropic's terminal agent invokes `quelvio query` on any internal-knowledge question. Install the CLI (above), export `QUELVIO_TOKEN`, then drop the skill file into your user-scoped skills directory.
mkdir -p ~/.claude/skills/quelvio curl -fsSL https://raw.githubusercontent.com/Quelvio/quelvio-agent-skills/main/claude-code/SKILL.md \ -o ~/.claude/skills/quelvio/SKILL.md
Or wire Quelvio into your framework SDK:
Each SDK ships as a single install. No config files, no API wiring — import the retriever, point it at your token, and your framework starts asking the brain.
Your employees don't learn a new tool. Quelvio meets them inside Slack, Teams, or the AI assistants they already use — with answers grounded in your company's own knowledge.
Invite @quelvio into any channel. Answers post in-thread with full citations — the source document, the author, the date.
/invite @quelvio @quelvio what did we decide about rate limiting last quarter?
Drive, SharePoint, Notion, Slack, Confluence, Box, Dropbox, Teams — and more. Each source is indexed with permissions preserved, so retrieval respects what every individual employee can actually see.
Employees only see results from documents they already had access to.
Your knowledge is fully separated from every other customer's, at every layer — and that separation is continuously verified.
Your content is never used to train models. Inference APIs only.
Content encrypted at rest with a key unique to your company (AES-256-GCM, AWS KMS) and in transit (TLS 1.2+). When you erase, we destroy your key — every copy, including backups, becomes permanently unreadable. Every access and change captured in a tamper-proof, exportable record.
Quelvio is the living memory layer for the agentic enterprise.
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