Turn your PDFs, docs, URLs and YouTube content into an instant-answer bot. NIVA indexes your content into a private vector DB and answers only from what you teach it.
Organisations hold answers in scattered PDFs, manuals, web pages and videos that nobody can search effectively, so the same questions get asked repeatedly.
NIVA indexes PDFs, DOCX, URLs, plain text and YouTube transcripts into a private, per-bot vector database. The most relevant chunks are retrieved and injected into every answer, with no cross-contamination between bots and per-source update control.
Real differences your team will feel from day one — not theoretical benchmarks.
| Area | Before NIVA | With NIVA |
|---|---|---|
| Content searchability | Scattered, unsearchable | Instant Q&A |
| Answer grounding | Generic AI | Only your content |
| Source control | Bulk re-upload | Per-source updates |
| Data isolation | Mixed | Private per bot |
This works in two directions. As a public-facing agent it engages prospects and customers directly on your website or app; as an internal tool it answers staff questions and runs intake against internal systems. The same engines power both, and which direction you deploy depends only on which knowledge sources and systems you connect. Many cross-industry operators start public-facing for the traffic and conversion upside, then reuse the same build internally.
In practical terms, the shift looks like this: on content searchability, you move from scattered, unsearchable to instant q&a; on answer grounding, you move from generic ai to only your content; on source control, you move from bulk re-upload to per-source updates; on data isolation, you move from mixed to private per bot. Each of these is a direct consequence of moving the interaction from a manual, human-gated channel to an always-available conversational one that still escalates to a person when the situation genuinely needs it.
Implementation reality: the conversational layer, routing, data capture, and system handoff are all within NIVA's documented no-code capabilities. Where this use case reads or writes live data, it assumes the relevant API or webhook endpoint exists on your side; that integration is the one piece worth scoping before launch. Start with the knowledge base and flow, then layer in live API calls once the core experience is proven.
No developers. No long setup. NIVA gives you every engine shown on this page — persona routing, flow automation, smart forms, and webhooks — as a ready-to-configure platform.