VizoraAI

Diagnose Data. Build Intelligence.

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June 28, 2026 Built Vizora V2 this week.

Originally Vizora analyzed single datasets.

Now it understands connected business datasets:

customers + orders + products + payments.

It automatically builds relationships and business metrics.

Would love feedback.

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June 24, 2026 Vizora Weekly Update πŸš€

βœ… Upload engine upgraded for multi-table business datasets.

βœ… Diagnosis now understands connected datasets.

βœ… Treatment engine redesigned to reduce approval fatigue.

The biggest lesson this week:

Users don't want to approve 100 individual fixes.

They want confidence that the AI understands the business context and is making safe recommendations.

Next milestone: Relationship-aware transformation engine for business metrics.

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June 23, 2026 Who is Vizora AI built for?

Vizora isn't built for data scientists.

It is built for businesses that regularly work with sales datasets.

β€’ Small businesses β€’ Founders β€’ Sales teams β€’ Retail businesses β€’ Ecommerce companies β€’ Superstores β€’ Pharmacies β€’ Automobile businesses β€’ Chemical distributors β€’ Restaurants β€’ Beverage companies β€’ EV businesses

If your business exports Excel files, sales reports, CRM data, or transaction data every week, you probably know these problems:

❓ Missing values ❓ Duplicate records ❓ Inconsistent names ❓ Messy spreadsheets ❓ Hours spent cleaning data

Vizora helps you understand your data before you clean it and before you build dashboards.

Because good decisions start with good data.

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June 21, 2026 Hi everyone! πŸ‘‹I'm excited to share Vizora AI

Bad data creates bad decisions. Vizora diagnoses issues before insights begin. It diagnoses data issues, explains their business impact, estimates risk, and helps users decide what to fix before generating insights and dashboards.

It's currently optimized for sales datasets, and I'm actively improving it based on user feedback.

I'd love to hear your thoughts and learn what types of datasets you'd want to analyze with it.

1 Comment

  1. 1

    One thing I'd be curious about:

    How often do teams actually decide to fix the underlying issue once they understand the risk?

    Reading this, it feels like there's a subtle difference between diagnosing bad data and creating enough urgency for someone to do something about it.

    That seems like a surprisingly important distinction for the product.

About

I built Vizora AI because bad data creates bad decisions. Vizora helps users diagnose data issues, understand their impact, and build meaningful insights.