TAZQ is a private AI platform that knows your company's data, respects your access controls, and never sends anything outside your environment.
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Your prompts leave your network. The answers ignore your data. And anyone in the company can ask anything.
Every prompt goes to an external server. For regulated industries, that's not a tradeoff — it's a breach waiting to happen.
Public AI doesn't know your docs, your org, or your history. Employees get generic output they still have to fix manually.
An intern can query the same model as your CFO. There are no role boundaries — by design.
No data migration. No third-party dependencies. Installs inside your existing infrastructure.
Runs in your AWS, Azure, or GCP tenant — or fully on-premise. Your compute, your model, your network. Zero external egress.
Link Drive, Slack, Outlook, Notion, Confluence, or any custom source. TAZQ indexes your content internally — nothing stored outside.
Access is governed by your identity provider. Finance sees finance data. HR sees HR data. Enforced at the model level, with full audit trails.
Six modules covering your entire AI stack — all running inside your environment.
Company-wide AI chat grounded entirely in your internal data. Persistent threads, source citations.
Ask a question, get an answer with page references — from your actual document corpus, not the web.
Pre-built connectors for the tools your teams already use. Indexes incrementally, stays current.
Daily intelligence briefs for CEO, CFO, and HR — auto-compiled from internal data signals.
Integrated with your SSO and directory. Access enforced at the model layer with immutable audit logs.
A physical model lives inside your company's network — handling all sensitive internal data without it ever leaving the building. A cloud layer handles general-purpose queries. Two environments, one seamless experience.
Our Story
TAZQ started with a simple problem: companies have strategy at the top and execution at the bottom, but nothing connecting the two. Founded in Guatemala, Alan Quirin built TAZQ to bridge that gap — an AI-powered platform that turns CEO-level strategy into daily employee action. What began as an AI personal secretary for employees evolved into a full organizational intelligence layer: CEO dashboard, HR tools, employee chat, and a private knowledge base.
The Team
18-year-old founder on a mission to build enterprise AI infrastructure that keeps company data private. Building TAZQ from Guatemala to compete on a global stage.
Leading the technical architecture behind TAZQ's hybrid deployment model — designing the systems that keep internal data on-premise while enabling seamless cloud integration.