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Dining is a transaction.
The experience is the opportunity.

amealio is an AI-powered dining, social dining, celebration and experience platform connecting people, restaurants and experiences. We use AI to make dining more personal for guests and more intelligent for restaurants.

From transactions to experiences.

Guests celebrating together at a restaurant table
People
Restaurant partner hosting guests
Restaurants
amealio AI personalizing dining discovery
AI
amealio merchant experience dashboard
Experiences
Investment thesis

We believe the next category in dining is the experience layer.

Consumers

  • Too much choice.
  • Too little personalization.
  • Too much coordination around special occasions.

Restaurants

  • More channels.
  • More competition.
  • Limited guest intelligence.
  • Limited ability to personalize and monetize experiences.

amealio

  • + Intent
  • + Restaurant
  • + Menu
  • + Experience
  • + Transaction
  • + Relationship

amealio turns dining intent into personalized experiences.

Timing

Why now?

AI

AI can now understand complex preferences, intent and context.

Experience economy

Consumers increasingly value experiences, memories and social connection, not only products.

Restaurant digitization

Restaurants increasingly operate across multiple digital channels.

Open commerce

Networks such as ONDC create new distribution possibilities.

  1. AI
  2. Experience economy
  3. Restaurant digitization
  4. Open commerce

A new experience layer for dining.

Market opportunity

A massive market hiding inside everyday dining.

We publish market sizing only with a named source, year, geography and methodology. Unsourced figures are shown as open placeholders rather than estimates presented as fact.

TAM

Dining, restaurant, hospitality and experience spending

Market size, source required
Source:
To be sourced
Year:
To be sourced
Geography:
India and the United States
Methodology:
Published industry sizing required before this figure is displayed.
SAM

Digitally addressable dining, social dining, celebrations and restaurant experiences

Market size, source required
Source:
To be sourced
Year:
To be sourced
Geography:
India and the United States
Methodology:
Digitally transacted share of the above, sourced from published reporting.
SOM

Initial city-by-city curated restaurant footprint

Market size, source required
Source:
To be sourced
Year:
To be sourced
Geography:
Pune, then selected Indian metros
Methodology:
Company estimate, built bottom-up from curated restaurants per market x average booking value x activation windows. Published once pilot inputs are validated.
Category

amealio is creating a new category.

A conceptual comparison of what each category optimizes for. It is not a capability claim about any specific company.

Food delivery

Optimizes fulfillment.

Reservation platforms

Optimize table discovery.

Restaurant SaaS

Optimizes operations.

Social platforms

Optimize attention.

amealio

Optimizes the experience around dining.

The journey we cover

  1. Discovery
  2. Personalization
  3. Celebration
  4. Dining
  5. Experience
  6. Memory
  7. Relationship

Source: amealio product scope

The problem

Dining has become easier to transact, but harder to personalize.

For people

  • Too many choices.
  • Generic recommendations.
  • Fragmented celebration planning.

For restaurants

  • Limited guest intelligence.
  • Limited personalization.
  • Dependence on discounts and paid acquisition.

For the ecosystem

  • Discovery, reservation, ordering, delivery and experiences remain fragmented.
  1. Consumer
  2. Fragmented tools
  3. Restaurant
  4. Fragmented tools
  5. Experience

Each hand-off loses context. Nothing carries taste, occasion or relationship across the journey.

The solution

One intelligence layer across the dining journey.

Five strategic layers, not a feature list.

amealio AI

01

AI personalization

  • Taste
  • Dietary preferences
  • Budget
  • Location
  • Companions
  • Occasion
  • Previous preferences
02

Discovery and commerce

  • Restaurant discovery
  • Dish discovery
  • Reservations
  • Ordering
  • ONDC
  • Delivery
03

Experiences and celebrations

  • Celebrations
  • Curated experiences
  • Catering
  • Add-ons
  • Event services
04

Restaurant intelligence

  • Merchant dashboard
  • Guest intelligence
  • Analytics
  • CRM
  • Campaigns
  • AI business assistant
05

Memory and retention

  • Memory experiences
  • Social sharing
  • Rewards
  • Repeat visits
  • Personalized recommendations
Data flywheel

Every interaction makes the platform smarter.

A data flywheel, not a claimed moat. The advantage compounds only as real restaurants, menus and experiences are activated.

  1. Restaurant
  2. Menu
  3. Dish
  4. Dietary attributes
  5. Customer intent
  6. Experience
  7. Transaction
  8. Feedback
  9. Repeat behaviour
  10. Better personalization

The platform can progressively understand

  • Restaurants
  • Menus
  • Dishes
  • Dietary concepts
  • Visual content
  • Customer preferences
  • Occasion
  • Group composition
  • Experience choices
  • Transaction behaviour
  • Repeat behaviour
Restaurant data strategy

Start with the restaurant.

amealio combines curated restaurant activation with broader network connectivity. Status labels below reflect what is operating today versus what is planned.

Curated restaurants

Live
  • Deep activation
  • Rich menu data
  • Photo and video menus
  • Dietary enrichment
  • Celebration packages
  • Experience activation
  • Merchant AI

Open network

Planned
  • ONDC
  • Broader restaurant discovery
  • Long-tail supply
  • Commerce connectivity

Restaurant technology

Planned
  • Petpooja
  • POS and operational connectivity

Delivery

Planned
  • Delivery network integrations
Go to market

India first. Built for scale.

Pune first, then selected Indian metros. Curated depth before breadth.

Curated activation

Target roughly 500-1,000 high-quality restaurants per market rather than manually activating every restaurant.

Network breadth

Use ONDC and network partners to provide broader supply.

Merchant activation

Sales, operations, marketing and AI assistance working together.

Product loop

  1. Restaurant
  2. Menu
  3. Experience
  4. Guest
  5. Transaction
  6. Data
  7. AI
  8. Better experience
Expansion

India-built. US-ready.

Market status is labelled explicitly. Planned markets are not operating markets.

India

  • Product validation
  • Restaurant activation
  • AI and data development
  • Operating model

United States

  • Market adaptation
  • Anchor restaurant partnerships
  • Experience-led dining
  • Premium restaurant ecosystem

Global

  • Experience economy

Pune

Pilot

Curated restaurant activation and celebration experiences.

Selected Indian metros

Next

Next curated markets after Pune.

United States

Planned

Market adaptation and anchor restaurant partnerships.

Global experience economy

Future

Longer-term expansion.

Traction, as of August 2026

Early validation. Real restaurants. Real transactions.

Pilot figures from internal company data. Nothing on this page is projected or modelled.

11,000+

Celebration bookings

Source: Internal company data · Pilot to date, as of August 2026

$2.8M+

Gross merchandise value

Source: Internal company data · Pilot to date, as of August 2026

10

Restaurant outlets activated

Source: Internal company data · As of August 2026

5 months

Pilot duration

Source: Internal company data · As of August 2026

Demand

People engage with personalized dining and celebration experiences, not just a table or a delivery slot.

Merchant adoption

Restaurants are willing to activate experiences and operate them alongside their existing service.

Commerce

Experience discovery converts into real bookings and measurable GMV.

Repeatability

The activation model can be repeated across restaurants and occasion windows.

Retention and repeat-behaviour claims are intentionally excluded until supported by measured data.

Case study, Father's Day

One occasion. One activation window. Real demand.

2,700+

Experience menu views

2,000+

People engaged

600+

Curated celebration experiences delivered

Hundreds

Pre-bookings and walk-ins

Source: Internal company data · Single Father's Day activation window, as of August 2026

What it proved

  1. Awareness
  2. Engagement
  3. Experience discovery
  4. Booking
  5. Restaurant activation
Merchant case study

From hospitality legacy to experience innovation.

Hotel Shreyas, Pune

Hotel Shreyas

Pune · 60-year legacy

amealio worked with the restaurant to introduce an experience-oriented celebration activation, including a Celebration Memory Wall built into the guest journey.

Why it matters

Legacy restaurants can use technology to create differentiated experiences without losing their hospitality identity.

Source: Internal company data · As of August 2026

Business model

Multiple monetization layers. One platform.

Revenue lines are labelled by maturity so no future stream reads as an operating one.

Current

Transaction revenue

Commissions on restaurant bookings, celebrations and experiences.

Expanding

Software revenue

Merchant subscriptions, dashboard and AI tools.

Experience revenue

Celebration services, add-ons and marketplace revenue.

Future

Marketing

Merchant campaigns and promoted experiences.

Analytics

Guest and demand intelligence products.

Enterprise

Hospitality groups and multi-outlet operators.

AI business assistant

Assisted merchant operations and growth.

Unit economics

The model is designed to compound.

These inputs are being measured through the pilot. We publish none of them until they are validated.

Restaurant acquisition cost

To be validated

Merchant activation cost

To be validated

Average booking value

To be validated

Commission

To be validated

Gross margin

To be validated

Merchant subscription

To be validated

Customer acquisition cost

To be validated

Repeat rate

To be validated

Lifetime value

To be validated

Payback period

To be validated

Flywheel

Compounding, restaurant by restaurant.

  1. 01More restaurants
  2. 02More choice
  3. 03Better personalization
  4. 04More experiences
  5. 05More bookings
  6. 06More merchant value
  7. 07More restaurant adoption
  8. 08More data
  9. 09Better AI
  10. 10More demand

amealio AI

Competitive landscape

Positioning, not point scoring.

We describe where amealio sits rather than what other companies lack.

Food delivery

Reservations

Restaurant SaaS

Experience platforms

Social discovery

amealio

The experience layer across all of them.

amealio sits at the intersection of

  • AI personalization
  • Dining discovery
  • Commerce
  • Experiences
  • Restaurant intelligence
  • Social dining
Technology

Built for the experience economy.

AI

  • Personalization
  • Recommendation
  • Restaurant intelligence
  • AI business assistant

Customer platform

  • Discovery
  • Reservations
  • Ordering
  • Experiences
  • Social dining

Merchant platform

  • Dashboard
  • CRM
  • Analytics
  • Campaigns
  • AI tools

Integrations

ONDC

Planned

Open network commerce connectivity

Petpooja

Planned

POS and operational connectivity

Delivery networks

Planned

Fulfilment partners

Payments

Live

UPI and card rails

Messaging

Live

WhatsApp and notifications

  1. Guest intent
  2. amealio AI
  3. Restaurant
  4. Experience
  5. Memory
Roadmap

The next 12 to 24 months.

Now

Pilot
  • Pune
  • Restaurant activation
  • AI personalization
  • Experience platform

Next

Next
  • India expansion
  • 500-1,000 curated restaurants per market
  • AI-assisted merchant activation
  • Experience marketplace
  • Merchant growth tools

Then

Planned
  • US market expansion
  • Anchor restaurant partnerships
  • Localized experience marketplace

Beyond

Future
  • Global experience economy
  • AI marketplace
  • Enterprise hospitality
Capital strategy

Capital to scale the flywheel.

Current round details are shared directly with qualified investors.

Raise

Not disclosed

Product and AI

AI infrastructure, personalization, restaurant intelligence.

Market expansion

Restaurant acquisition, merchant activation, consumer growth.

Operations

Restaurant success and experience operations.

US expansion

Market validation, anchor partnerships, localization.

Team

Engineering, product, AI, growth and operations.

Allocation percentages are shared directly with qualified investors and are not published here.

Recognition

Programmes, credits and recognition.

Programme participation and cloud credits are not investment. Funding details are not disclosed on this page.

Recognition

Google for Startups APAC

Top 30 startup selection.

Credits

Google Cloud

$200K in cloud credits.

Acceleration

NVIDIA Inception

Programme member.

Why amealio

Why this team. Why this market. Why now.

Why this market

  • Dining is large.
  • Experiences are growing.
  • Restaurants need better digital relationships.

Why now

  • AI enables contextual personalization.
  • Commerce infrastructure is increasingly connected.
  • Consumers increasingly value experiences.

Why amealio

  • Restaurant, consumer and experience layer
  • AI-native architecture
  • Curated merchant strategy
  • Network distribution
  • Merchant intelligence
  • Founder-market fit
Founder-market fit

Built by people who understand technology, hospitality and markets.

Shaker Dixit

Founder and CEO

  • 25+ years in technology and large-scale transformation
  • Operating experience across the United States and India
  • Hospitality and restaurant operating exposure
  • AI, product and platform engineering background
  • Cross-cultural go-to-market experience

India-built. US-ready. Globally ambitious.

Pitch deck

The amealio United States deck.

Browse the deck below, or use the download control in the player to save it as a PDF.

Invest

Build the future of dining with us.

amealio is building the intelligence layer between people, restaurants and experiences.

Request the investor deck

We reply from hello@amealio.com, usually within two business days.

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