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Zinc.today

AI business analytics without technical setup.
General Information
Founders:
Haokai Wang
Founded Date:
2024-06-01
Linkedin:
Headquarters Region:
Asia-Pacific (APAC), Association of Southeast Asian Nations (ASEAN), Southeast Asia

Overview

Zinc is an AI-powered business analytics copilot designed to help teams get instant answers and deep insights from their data — without needing SQL skills or data science teams. By combining advanced AI with top-tier analytics models, Zinc makes data accessible, actionable, and user-friendly for everyone from founders to enterprise executives.

Key Features

  • Natural Language Querying
    Ask business questions in plain English and get real-time answers with zero need for technical expertise.
  • AI-Powered Data Exploration
    Zinc scans your datasets and delivers meaningful insights instantly — no code, charts, or dashboards required.
  • Cross-Device Access
    Access analytics anywhere, anytime — on mobile, desktop, or tablets — for full flexibility during meetings or on the go.
  • Prompt Insights for Fast Decisions
    Get swift, context-aware analysis that helps teams move quickly and respond to change confidently.
  • Scalable Analytics Infrastructure
    Grow your analytics capabilities without growing your headcount — ideal for lean teams and startups.
  • Secure and Private
    Built with enterprise-grade data security and compliance in mind.
  • No Technical Setup Needed
    Start using Zinc without setting up complex dashboards or building internal data science functions.

Pros

  • Zero Learning Curve: Designed for business users — no SQL or dashboard training needed.
  • Real-Time Answers: Makes analytics feel conversational and immediate.
  • Cost-Efficient: Eliminates the need to hire or expand internal data teams.
  • Fast Deployment: Easy onboarding and plug-and-play integration.
  • Backed by Digital Ocean Hatch: Supported by a credible startup ecosystem.

Cons

  • Primarily for Analytics: Not a replacement for full-scale BI platforms if deep custom visualizations or modeling are required.
  • Data Dependency: Requires structured data sources to extract accurate insights.
  • Early-Stage Product: Still evolving — feature depth may not yet match legacy BI tools.
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