Limited offer Free Nova self-order kiosk ($1,495 value) with your first location — Book a demo to claim →
nova
Sign up Book a demo
AI at the core

AI that runs
every layer
of the restaurant.

Voice AI, Vision AI, Reporting AI, AI Marketing and Omni-channel AI — built into the platform from day one. Not a chatbot wrapper. Not bolted on. Trained on the unified data layer that legacy stacks can't produce.

Book a demo See it in action
What does "AI-native" mean for Nova?

AI-native means Nova was architected around AI from day one — every module reads and writes to the same unified data layer, and AI runs on that data continuously. Voice AI takes drive-thru orders. Vision AI monitors the kitchen. Reporting AI answers questions in plain English. Marketing AI runs personalization. The result is intelligence that improves with every transaction, across every location.

Restaurant staff serving customers at a service window
AI-native vs AI-added

Why this distinction matters.

Every restaurant SaaS vendor has shipped an AI announcement in the last 18 months. Almost none of them were built for it. Here's the difference.

Legacy stacks · AI-added

Bolted on after the fact

  • 10-18 separate vendors, each holding a fragment of guest data
  • Middleware glues systems together with brittle APIs
  • AI features live in one tool; the rest of the stack can't read them
  • "AI" is mostly a chatbot wrapper over reports
  • Personalization is impossible — there is no single guest profile
  • Every model improvement requires a vendor coordination cycle
→
Nova · AI-native

Built from the ground up around AI

  • One unified data layer underneath every module
  • One guest profile across app, web, kiosk, drive-thru and POS
  • AI is a first-class layer, not a feature inside one product
  • Voice AI, Vision AI and Reporting AI run continuously on live data
  • Models improve with every transaction, every location, every brand
  • One vendor, one contract, one roadmap
Five AI capabilities, one platform

Each one a product. All of them, one OS.

Voice, Vision, Reporting, Marketing and Omni-channel — each is a complete capability in its own right. Together, they are the operating system.

Voice AI

The voice of every channel — phone, drive-thru, kiosk.

Nova's Voice AI answers the phone, takes drive-thru orders, and recovers the calls your staff is too busy to pick up — 24/7, in multiple languages, trained on your menu.

  • Drive-thru order taking with sub-second latency
  • Missed-call recovery and reservation booking
  • Multi-lingual handling out of the box
  • Connected directly to POS and KDS — no human in the loop
Real example A 400-location enterprise routes 18% of missed calls back to Nova Voice AI — recovering an average of $42 per recovered call.
Quick service worker taking orders at counter window
Vision AI

Eyes on the line. Eyes on the lane.

Computer vision watches the kitchen, the drive-thru and the dining floor — surfacing bottlenecks, safety risks and throughput drops before a guest notices.

  • Drive-thru lane monitoring and queue prediction
  • Kitchen station throughput and ticket-age detection
  • Food safety: hold times, temperatures, prep adherence
  • Real-time alerts to managers when things drift
Real example Vision AI flagged a 90-second prep regression on the fry station before service hour ended — manager intervened, throughput recovered by the next daypart.
Chef plating dishes at a busy kitchen pass
Reporting AI

Ask any question. Get the answer and the chart.

Reporting AI is a natural-language interface across every operational and financial data point Nova captures. No more building Power BI dashboards for questions that change weekly.

  • "Why are voids up at store 412?" — grounded answer + chart
  • "Which day-parts under-perform vs forecast?" — segmented response
  • "Compare margin on burger vs salad over the last 8 weeks." — chart-ready
  • Sources every answer back to the underlying data row
Real example Reporting AI surfaced that a dessert cart outperformed the dessert menu by 18% — generating $25,000 in incremental revenue at one location.
Cafe barista preparing drinks at an espresso machine
AI Marketing

Personalization that actually personalizes.

One guest profile across every channel — and AI Marketing generates, schedules and measures campaigns on top of it. From cohort definition to push send, in minutes.

  • Behavioral segmentation from unified guest data
  • Generated offers tested against your historical baseline
  • Lifecycle campaigns that follow guests across channels
  • Attribution back to revenue per cohort, per campaign
Real example AI Marketing identified a lapsed-loyalty cohort and ran a generated win-back campaign — 14% return rate at two-week measurement.
Customer ordering at a modern cafe counter
Omni-channel AI

One guest. One loyalty balance. Every touchpoint.

The connective tissue across app, web, kiosk, drive-thru, in-store and catering. AI-driven upsell calibrated to the guest's last 50 visits — at every touchpoint.

  • Single guest identity across every channel
  • Single loyalty balance — consistent offers and pricing
  • Personalized upsell injected into POS, kiosk, mobile and drive-thru
  • One guest profile that follows every touchpoint
Real example AI-driven upsell at the kiosk increased average ticket by 7.4% — without staff training, without scripted prompts.
Cafe staff preparing orders at busy counter
AI-embedded modules

Beyond the five capabilities, AI runs every module.

Real-time ops alerts, AI labor optimization, predictive analysis, AI-driven upsell, menu intelligence — embedded into the platform, not sold as add-ons.

🚨

Real-time ops alerts

Anomaly detection on voids, comps, drawer counts and drive-thru times — alerted before they become losses.

📅

AI labor optimization

Scheduling that learns demand, weather, and event patterns — minimizing over- and under-staffing across every location.

🔮

Predictive analytics

Demand forecasting, prep-time prediction, and inventory needs — generated per location, per daypart, automatically.

💰

AI-driven upsell

Personalized upsells calibrated to past behavior — injected into POS, kiosk, mobile and drive-thru without staff training.

🍔

Menu intelligence

AI menu engineering — surfaces what to feature, what to retire and what to re-price this week, per location.

💬

Manager Copilot

A chat interface across the whole OS. Ask "why are voids up?" — get a grounded, sourced answer with the chart.

Responsible AI

AI that operators can trust. AI that procurement can sign off on.

Nova's AI is governed end-to-end. Every model, every dataset, every prediction has an owner, a test suite and an audit trail — built for the diligence that enterprise restaurant brands and their CIOs actually run.

Data governance

Guest data is partitioned per brand. PII is encrypted at rest and in transit. Customers control what trains shared models.

Model evaluation

Every model has a test suite, a benchmark, and a regression gate. We measure before we ship.

Human in the loop

Voice AI escalates ambiguous orders. Vision AI alerts managers — it doesn't take action unsupervised.

Audit & explainability

Reporting AI cites sources. Manager Copilot shows its work. Every AI decision is traceable to its underlying data.

Why this matters now

The operators winning the next decade are the ones running AI-native operating systems today.

Every category-defining business of the last decade — Tesla, Amazon, Apple — won by building the vertically integrated operating system, not the best individual tool. Restaurants are the same bet.

10-18 disconnected systems

Is what most enterprise restaurant chains run on today. AI can't optimize what it can't see.

73.9% staff turnover

And $5,864 average cost per replacement. Legacy training widens the gap. Nova's AI closes it.

+18% sales lift

From a single Reporting AI insight at one Nova customer — the kind of intelligence legacy stacks structurally cannot produce.

Book a demo

See AI running a restaurant — live.

20-minute walkthrough across Voice, Vision, Reporting, Marketing and Omni-channel AI. Bring your hardest operational question; Manager Copilot will answer it.

Book a demo See the full platform
Restaurant server using a tablet POS to manage orders