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qbrin

qbrin is an enterprise AI search and governed agent platform that turns company knowledge into cited answers and can abstain when evidence is missing.

qbrin

Overview

qbrin is an enterprise AI search and agent platform focused on grounded answers and governed actions. Its core promise is to turn scattered company knowledge into cited responses that can either prove the answer from connected sources or abstain when the evidence is missing.

The homepage positions qbrin as a product for asking real workplace questions across documents, email, chat, and other company sources, while the agents page expands that idea into governed AI agents that can act with identity, policy checks, observability, and sandboxed execution. The pricing page shows a flat, seat-based model with Starter, Team, and Enterprise plans for teams that want a source-of-truth workspace, not per-query metering.

Core capabilities

Cited answers from company sources

qbrin reads across company documents and knowledge sources and returns answers with links back to the exact source. The product messaging repeatedly stresses grounded output rather than uncited guesses.

Cited-or-abstain answer behavior

When the records do not support an answer, the system is designed to abstain instead of guessing. This behavior is central to both the homepage and agents page positioning.

Governed agent identities and traces

The agents page describes a control plane with identity, activity, observability, governance, and least-privilege security. Every agent gets a stable principal, a named human owner, and a structured reasoning trace.

Policy controls for agent actions

Policies are checked before actions such as reading, writing, code execution, and sending messages. Higher-risk actions can pause for human approval, and default-deny behavior is shown for writes, code, and sends.

Sandboxed code execution

Untrusted code runs in a sealed sandbox with no filesystem, network, or host-process access and a hard timeout. The page presents this as containment for agent-written code.

Workspace-ready knowledge sharing tools

The pricing page highlights read-only connectors, saved answers and collections, go-links and shared collections, permissions that mirror source tools, and priority support on higher tiers.

Common workflows

  • Answer internal questions with citations

    A team can connect a knowledge source read-only and ask recurring questions like policy, account, or project-status queries. qbrin is designed to return a sourced answer fast enough for live work, while abstaining if the evidence is missing.

  • Prepare for meetings and handoffs

    The product examples show onboarding, policy, meeting prep, and account briefing. These scenarios suggest qbrin is useful when someone needs a concise briefing drawn from emails, docs, threads, and notes before a call or decision.

  • Run governed AI agents inside team tools

    The agents page describes agents that can join Slack, ask clarifying questions, file Jira tickets, and pull keys from a vault under policy control. That makes it suitable for teams that want agents to do bounded work rather than only chat.

  • Support regulated or security-sensitive deployment

    The Enterprise tier is described for regulated and security-first organizations that need SSO, SCIM, audit logs, and custom data residency. This makes qbrin relevant where access control and traceability matter as much as answer quality.

  • Create shared knowledge collections

    The pricing page emphasizes saved answers, collections, and shared go-links, which fit teams that want repeatable knowledge artifacts instead of one-off search results.

Pros and Cons

Pros

  • Returns cited answers instead of uncited guesses, and explicitly abstains when the records do not support an answer.
  • Supports team knowledge workflows such as saved answers, collections, shared go-links, and source-backed walkthroughs.
  • Shows governed-agent features including identity, policy enforcement, observability, containment, and human approval for higher-risk actions.
  • Offers a transparent pricing structure with clearly described Starter, Team, and Enterprise tiers.
  • Enterprise messaging includes self-hosted or local-first deployment options, SSO, SCIM, audit logs, and custom data residency.

Cons

  • The public source text leaves some details unclear, including the exact connector catalog, deployment requirements for every tier, and the full limits of the read-only setup.
  • Several advanced controls are only described on the Enterprise tier, so smaller teams may need to confirm which admin and security features are included in lower plans.
  • The benchmark PDF is not readable in the collected text, so performance claims beyond the product’s own positioning are not available here.

FAQ

What does qbrin do?

qbrin is presented as a governed enterprise AI search product that connects to company sources read-only and returns cited answers. The homepage and pricing page both emphasize that it can answer with sources, and the pricing page says it is designed to go live in minutes once connected.

Who is qbrin for?

The pricing page shows tiers for Starter, Team, and Enterprise. Starter is framed for a single team, Team for growing companies, and Enterprise for regulated or security-first organizations that need self-hosting or local-first deployment options.

How is qbrin typically set up?

The source text shows a walkthrough flow where qbrin connects one source read-only and answers a real question without changing existing tools. The agents page also describes it reading across docs, chat, and email to ground answers and actions.

What happens when qbrin cannot verify an answer?

qbrin is described as citing sources or abstaining when records do not support an answer. On the agents page, this is stated as '100% confidence cited, or it abstains,' and the product copy says it should not confidently answer when it lacks evidence.

Does qbrin offer security and admin controls?

The pricing page says Enterprise includes SSO, SCIM, audit logs, custom data residency, and a self-hosted or local-first option. It also says customer data is never used to train anyone else’s models.

Quick Facts

Category
Enterprise AI search
Platform
Web app and governed agent platform
Primary use
Source-backed company knowledge search and AI agent governance
Pricing model
Seat-based plans with Starter, Team, and Enterprise tiers
Deployment options
Includes a self-hosted / local-first option on Enterprise
Source domain
qbrin.com