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nivq
Talk to your data — read-only AI, every query audited
Ask your database questions in plain language → answers, charts, and reports in seconds. No SQL. Built for teams that can't lose control of their data: the agent reads, never writes (SELECT-only); every query is logged for audit; self-host with a local model so nothing leaves your network. Bring your own LLM (OpenAI, Claude, Gemini, Mistral). Tested multi-tenant isolation. Watch it reason, live — no black box. Open beta, 5-min setup, no credit card.
Hi Product Hunt 👋
I'm Vedat, founder of Nivorbit. I built nivq after seeing the same gap over and over: data teams in regulated industries love the idea of "talk to your data," but they can't hand a black-box agent write access to production, ship data to a third-party cloud, or operate without an audit trail.
So nivq takes the opposite stance from autonomous action agents. The agent only reads. Every query lands in an audit log. You can run it entirely inside your own walls — including with a local model, so no data leaves your network. And multi-tenant isolation is enforced across five layers, each backed by tests.
We're in open beta and would genuinely love your feedback — especially on where the governance model should go next. Try it with sample data, no credit card needed: https://nivq.ai
Happy to answer anything in the comments 🙏
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About nivq on Product Hunt
“Talk to your data — read-only AI, every query audited”
nivq was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #12 on the daily leaderboard. Ask your database questions in plain language → answers, charts, and reports in seconds. No SQL. Built for teams that can't lose control of their data: the agent reads, never writes (SELECT-only); every query is logged for audit; self-host with a local model so nothing leaves your network. Bring your own LLM (OpenAI, Claude, Gemini, Mistral). Tested multi-tenant isolation. Watch it reason, live — no black box. Open beta, 5-min setup, no credit card.
nivq was featured in Developer Tools (515.4k followers), Artificial Intelligence (473.1k followers) and Data & Analytics (5.7k followers) on Product Hunt. Together, these topics include over 183.9k products, making this a competitive space to launch in.
Who hunted nivq?
nivq was hunted by Vedat Kılıç. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Vedat Kılıç