Angie AI
Ask your business anything.
A restaurant intelligence agent that connects to your live data and answers questions in plain English. Full chat history and extensive tooling — no dashboards to learn, no reports to pull.

Deployed under your brand with your logo and colors. Your team interacts with an intelligence agent that feels native to your operation — not a third-party tool.
Good Morning, Mohamed
Ask me anything about your business data
Core Capabilities
Intelligence that speaks your language.
Natural Language Queries
Ask anything about your business the way you would ask a colleague. "How did lunch go today?" "Which location had the most voids this week?" Angie understands context and delivers precise answers.
Business Intelligence
Pull revenue, labor costs, guest counts, average checks, voids, comps, and ticket times - across any date range, any location, any daypart. No SQL required.
Cross-Location Intelligence
Compare performance across every property in a single question. Rank locations, spot outliers, and identify trends that span your entire portfolio.
Real-Time Data Analysis
Angie connects to live transactional data. Answers reflect what is happening right now - not yesterday's export or last week's spreadsheet.
Chat History
Every conversation is saved and searchable. Pick up where you left off, reference past analyses, or share a thread with your GM. Full context preserved across sessions.
Extensive Tooling
Angie generates charts, builds comparisons, flags anomalies, surfaces exceptions, and pulls business intelligence data across all locations. The toolset grows continuously as your operational needs evolve.
How It Works
Like having an analyst on call 24/7.
Angie sits on top of your Simphony data. When you ask a question, she queries your live transactions, runs the analysis, and returns a clear answer — typically in under three seconds.
How did lunch go today?
Lunch revenue hit $38,420 across 12 locations, up 14% vs. last Tuesday. Downtown led at $9,200 with 218 guests and a $42.20 average check. Labor ran 24.1%. Two voids flagged at Midtown over $75.
Show me those Midtown voids.
Found 2 voids: $82.50 at 1:14 PM (server #3201, reason: "customer complaint") and $76.00at 1:47 PM (same server, reason: "wrong order"). Both above your $75 threshold.
What You Can Ask
Built for operators who run on data.
Revenue & Sales
Total sales, net sales, sales by revenue center, by menu item, by server, by daypart. Any slice, any date range, any location.
Labor & Scheduling
Labor cost as a percentage of revenue, overtime hours, scheduled vs. actual, and cost-per-cover - broken down by role or by property.
Voids, Comps & Exceptions
Surface voids above threshold, comp patterns, discount abuse, and cash drawer variances. Angie flags anomalies before you ask.
Guest Metrics
Guest counts, average check, covers per hour, table turn times, and repeat visit frequency. Understand your guests at a granular level.
Period Comparisons
This week vs. last week. This month vs. same month last year. Any two periods, side by side, with variance highlighted automatically.
Daily Briefings
Ask for yesterday's summary and get a complete rundown: revenue, labor percentage, top and bottom performers, and any exceptions that need attention.
Try Angie
Ask anything about your business.
Good Morning, Mohamed
Ask me anything about your business data
Why Context Matters
Intelligence without context is noise.
Generic AI models produce generic outputs. They do not know your locations, your payment patterns, your reconciliation gaps, or your operational rhythms.
Vitabyte's intelligence layer knows all of this — because it operates within the same system that processes payments, normalizes data, and executes workflows.
It has access to live transaction data — because Vitabyte is in the payment flow.
It has access to operational data — because Vitabyte is the system of record.
It has access to workflow outcomes — because Vitabyte executes, not just observes.
It has access to cross-location patterns — because Vitabyte normalizes data across the business.
This is not AI layered on hospitality. This is intelligence that emerges from operating the business.

