The Modern Alternative to Power BI · Tableau · Zoho
Why are you still paying $20 per user, every month, forever — for a dashboard that can't even answer a question? AI Analytics is a custom-built reporting platform with AI baked in. Ask in plain English. Get charts that update themselves. Own the code. No more licensing.
$0/user
No per-seat fees ever
Plain English
Ask. Get answers.
Yours
Custom-built. You own it.
30-second savings calculator. See exactly what you're overpaying for legacy BI.
Ask Your Data
Revenue by Region · Q3 2026
Generated by AIAI Insight
Region North leads with $1.2M (32% of total). Region South dropped 18% — investigate.
The Wedge
This is honestly the whole pitch. Read both columns. Decide.
Feature-by-Feature
We're not here to be diplomatic. Here's the comparison.
| Feature | Power BI | Tableau | ← THIS PAGERedDot AI Analytics |
|---|---|---|---|
| Pricing model | $10/user/month | $15/user/month | One-time build, zero fees |
| Natural language queries | ⚠ Q&A feature | ⚠ Ask Data | ✓ Native AI from day one |
| AI-generated insights | ⚠ Premium add-on | ⚠ Einstein add-on | ✓ Built-in |
| Code ownership | ✗ SaaS | ✗ SaaS | ✓ You own it |
| Custom AI models | ✗ Microsoft-trained only | ✗ Salesforce-trained only | ✓ Trained on YOUR data |
| Self-service question adding | ⚠ Power user required | ⚠ Tableau cert required | ✓ Anyone in plain English |
| Time to first dashboard | 2–4 weeks | 3–6 weeks | 7 days |
| Vendor lock-in | High (Microsoft) | High (Salesforce) | Zero — your code, your cloud |
| Annual cost (50 users) | $6,000/year | $9,000/year | $0 (after build) |
This isn't us hating on Power BI or Tableau — they're great products for what they were built for. We just think the next decade of BI looks different. AI-native. Self-owned. No per-seat fees.
What We Build
Modern AI capabilities, custom-built into your platform from day one.
Type or speak a question in plain English. AI translates to SQL, runs the query, picks the right chart type, generates it. No drag-and-drop. No formula language.
Example Queries
Every chart comes with AI-written commentary. What does the data show? What's the anomaly? What action would the AI recommend? Read the answer instead of inferring it.
Sample Insight
"Revenue dropped 18% in Region South this month. The drop correlates with the pause of paid social on April 12. Recommend: resume the channel and monitor for 14 days."
Connect to your data sources once. Reports refresh automatically — every minute, hour, or day depending on data freshness needs. Email/WhatsApp alerts when key metrics shift.
Refresh Frequencies
Connect Shopify, HubSpot, Stripe, your ERP, your Google Ads — anything with an API. AI cross-correlates across sources to find patterns no single dashboard can see.
Common Sources
The Breadth
Bar, line, donut, scatter, heatmap, geographic — all generated automatically from the question you ask. No manual configuration.
Revenue by region this quarter
Show me MRR trend for the last 12 months
Customer breakdown by segment
Sales by hour and day of week
Channel mix per month
Where are our top customers?
Stack Comparison
Most teams underestimate by 5×. Power BI is the smallest line on the bill — Fivetran, Snowflake, and ETL pile on underneath. We replace the whole stack with one custom build you own.
Interactive Calculator
How many users will access dashboards?
150What's your data scale?
Not sure? Pick Moderate — most mid-market teams land there.
Add AI features
Copilot, NL queries, AI insights (+150 users × $10/mo)
Project costs over...
Your Legacy Stack — Monthly
Over 3 Years
Based on your inputs, you could be paying
$291,600
in legacy BI stack fees. See what you'd actually save.
Custom build economics work best for teams already on a real BI stack — Fivetran, Snowflake, plus a BI tool. For very small teams without that stack, legacy BI may still be cheaper in pure dollar terms, and that's worth knowing before you engage.
Must Use Power BI?
...we have a 100+ project track record building Power BI specifically. Microsoft certified team. Cognos migrations a specialty.
AI Analytics isn't for every team. Here's where the math works.
Where the savings math kicks in and the AI advantages compound.
What every buyer asks before switching off legacy BI.
30-min discovery call. We'll review your current BI setup, run the savings math, and quote your build upfront.