Products/Enterprise AI Search/qbrin

qbrin

Enterprise AI Search That Cites Every Answer

Enterprise AI Search
qbrin

Our Take

Enterprise AI has a trust problem. Ask any question, get an answer that sounds confident but might be completely fabricated—and there's no way to verify it. Qbrin solves this with what they call the "universal trust layer": every answer comes with citations back to the original source, so you can actually verify what the AI is telling you. They claim zero hallucinations, backed by a patented recovery engine. And they do it at a fraction of the cost—20x fewer tokens than typical enterprise AI solutions.

Qbrin connects across your existing tools—Jira, Slack, Email, files, conversations—and lets teams ask questions in any language. It pulls out people, decisions, and commitments automatically, so "what did we agree?" actually has an answer. Tasks and commitments get tracked across conversations, grouped by status, with overdue items flagged. Leadership gets an instant pulse on the organization without chasing status updates. New hires onboard in days instead of months because the system surfaces who does what and where decisions were made.

Here's what makes qbrin different: they're not trying to be another chatbot. They're the trust layer underneath—GDPR-aligned, end-to-end encrypted, and they never train on your data. It's enterprise AI that citations built. If your company can't afford to be "confidently wrong," this is the layer you've been waiting for.

Turns scattered company knowledge into answers you can trust by connecting conversations, files, emails, and decisions across tools, providing clear answers backed by the original source.

Key Features
Connects conversations, files, emails, and decisions across tools, Provides answers in any language, Ensures answers are never confidently wrong, Always cites sources, GDPR-aligned, Encrypted end-to-end, Never trains on your data, Patented recovery engine for zero hallucinations, Reduces token usage per answer significantly compared to traditional RAG pipelines, Low false-accept rate on unanswerable questions
Problem It Solves
Provides a universal trust layer for enterprise answers, ensuring answers are never confidently wrong, always cited, and cost-effective across any source and language.
Target Customer
Enterprises looking for reliable AI search solutions that provide accurate and cited answers.
Use Cases
Instantly identifying who does what in a company, Tracking decisions and commitments, Identifying gaps in company knowledge, Providing accurate answers grounded in source documents, Helping new hires get up to speed quickly
Differentiator
Offers a lightweight retrieval path that significantly reduces token usage and cost while maintaining high accuracy and citation trust, with a focus on safety and never being confidently wrong.
Why Now
The need for reliable, accurate, and cost-effective AI search solutions in enterprises is growing, and qbrin provides a unique approach to meet these demands with its patented technology and focus on trust and safety.
Traction
Notable Metrics: qbrin reads ~687 tokens per answer, a short briefing, not a pile of documents, and has a false-accept rate on unanswerable questions of ~1% compared to ~18-20% for traditional RAG.

Key Facts

Category
Enterprise AI Search
Discovered via
product-hunt

Links

Browse by category

Want products like this in your inbox every morning?

Five products. Every morning. Written by someone who actually cares whether they're good or not. Free forever, unsubscribe whenever.

qbrin — SLAYREPORT