qbrin
Qbrin is an enterprise AI platform that acts as a universal trust layer for company knowledge. It automatically connects conversations, files, emails, and decisions across tools like Jira, Slack, and email to provide accurate, cited answers to natural language questions. The system is designed to eliminate hallucinations entirely, using a patented recovery engine to validate responses and ensure that every answer is backed by verifiable sources. With SOC 2 Type II, HIPAA, and GDPR compliance, Qbrin is built for secure enterprise deployment. The platform offers a unified home view where leadership can monitor people, decisions, tasks, and commitments extracted from everyday interactions. It tracks action items (Open, Blocked, Done) and flags overdue tasks, enabling teams to stay aligned without manual status updates. New hires can ramp up quickly by querying institutional memory, and managers gain an instant pulse on organizational activity. Qbrin distinguishes itself by its extreme token efficiency—consuming around 687 tokens per answer, up to 20 times fewer than traditional RAG pipelines—resulting in lower costs and faster responses. Its verification stack reduces false-accept rates on unanswerable questions to approximately 1%, dramatically outperforming standard RAG systems. The system also supports multilingual queries and ensures high citation trust, with 86% of citations genuinely supporting the answer. Benchmarked on 500 real company questions, Qbrin achieves 88.4% decision correctness while never being confidently wrong on trap questions. It achieves this through a calibration posture that abstains rather than guesses when uncertain, making it a reliable knowledge retrieval system for enterprises that demand accuracy and auditability.
- Category
- AI Agents
- Pricing
- Free
Problem solved
Enterprises struggle with scattered knowledge across multiple tools, leading to information silos and time wasted searching for answers. Qbrin provides a centralized trust layer that automatically indexes and connects data sources, enabling teams to ask questions in natural language and receive accurate, cited responses without hallucinations. It transforms unstructured conversation into actionable insights, ensuring that decisions, tasks, and commitments are captured and accessible.
Use cases
- Instant company-wide Q&A with cited sources
- Automated tracking of action items and commitments from conversations
- Onboarding new employees with rapid access to institutional knowledge
- Leadership dashboard for monitoring decisions and organizational pulse
- Reducing meeting overload by surfacing past decisions and context
- Multilingual knowledge retrieval across global teams
Audience
- Enterprise
- Business Users
- Product Managers
Pros
- Zero-hallucination guarantee with patented verification engine
- Extremely low token usage per query, reducing costs
- High citation reliability (86% of citations actually back the answer)
- SOC 2, HIPAA, GDPR compliant for enterprise security
- Multilingual support across any source language
Cons
- Limited to enterprise SaaS deployment; no self-hosted version
- Dependent on integrations with existing tools for full value
- Transparent benchmarking only on proprietary dataset
- Abstains from answering when uncertain, which may frustrate some users
- Free plan details and scalability limits not specified
Official website: https://qbrin.com/
Canonical LambdaBase page: https://www.lambdabase.com/tools/qbrin