HawtAds

Agentic Ads Engine · Coming soon

AI ads for the person in front of the screen.

Use what you know about a person, what they're looking at, and where the ad will run to generate the right creative for that exact moment. Built for social, ecommerce, airports, restaurants, rideshare tablets, DooH, retail media, and other data-rich surfaces.

  • User + location aware
  • Real-time ad generation
  • Built for high-context surfaces
  • Brand and policy guardrails
Request private previewTalk to the team →

Live creative

Decision
Sub-second
Context
Gate B12
Signal fit
94%

Output

live

Sponsored · Gate B12 · 0.8 mi

Hello Jon — your oat espresso is waiting before boarding.

Double rewards for morning travelers near your gate.

Offer

2× points

Placement

Gate screen

Live decision graph

Signals in. Ad out.

The surface or channel sends what it knows. Profile, location, timing, product context, eligibility, and placement rules become one live ad decision.

Live decision graph

Signals in → individualized ad out.

Sub-second decisioning

Viewer

Known traveler

loyalty · history · eligibility

Engine

Choose the best offer

model · policy · brand rules

Ad

Gate B12 coffee

2× points · 0.8 mi

Moment

Airport · morning

dwell · weather · placement

Profile
loyalty · intent · eligibility
Place
gate · route · weather · dwell
Surface
screen size · placement · format

Airport surface

Gate B12 · terminal screen

dwell time · loyalty · morning route

Rideshare surface

Backseat tablet · 14 min ride

destination · time · nearby offers

Location signal demo

Location changes the ad.

A traveler near an airport, a rider crossing town, and someone sitting down for dinner should not all see the same creative. Location is one signal the engine can use alongside product, channel, audience, and everything else the surface knows.

Demo location
Columbus, OH, US

Approximate city-level location for this page request · America/New_York

Loading map...
Columbus, OH, US

How it works

How one impression becomes one ad.

When the surface or channel knows who the person is, what they are seeing, where they are, and what they are eligible for, the engine can generate an ad for that exact moment.

  1. I

    Send what the surface or channel knows

    Profile, history, location, route, dwell time, product context, eligibility, and placement rules.

  2. II

    Let the engine decide

    AI agents choose the offer, message, visual angle, and format for that person in that exact moment.

  3. III

    Generate the ad for the placement

    Return the offer, copy, layout, creative instructions, or channel-ready variant for that exact placement.

  4. IV

    Improve within guardrails

    Approvals, exclusions, performance feedback, and policy rules shape future decisions.

Surfaces and channels

Built for places where context changes the ad.

For social, ecommerce, DooH, airports, restaurants, rideshare, retail media, and owned surfaces where environment or product context knows enough to make the ad more relevant.

Place-aware

DooH and restaurants

Different creative when someone is walking past a screen, sitting down for dinner, or moving through a venue.

Journey-aware

Airports and travel

Offers shaped by gate, destination, dwell time, loyalty status, trip timing, and nearby opportunities.

Trip-context

Rideshare media

Creative generated from route, destination area, ride duration, time of day, and local intent.

Commerce-aware

Social and ecommerce

Turn product, audience, offer, inventory, and funnel stage into variants for social ads, shop pages, and retargeting.

Private preview architecture

Live decisioning, with brand control.

Real-time individualized advertising needs privacy-safe data activation, eligible inventory, auditability, and durable safety boundaries. Those are product requirements, not footnotes.

Data
permitted signals
API
creative decision
Ops
approval trail

Guardrails

The rules stay in the loop.

  • Use only permitted user, behavior, location, commerce, and context signals.
  • Keep model, routing, bidding, and provider internals server-side.
  • Apply brand rules, exclusions, and sensitive-category checks before serve.

Private preview fit

Best for teams with rich first-party data, high-volume ad surfaces or channels, and a real reason to personalize in the moment.

For data-rich surfaces and channels

Building a surface or channel where the ad should know the moment?

Tell us what signals you have, where the ad appears, and what decisions or variants need to happen live.

Request private previewAsk a product question →