Ayo helps you decide between rides, food, deliveries, local businesses, and send options. It remembers what you prefer, ranks choices by trust, speed, price, and convenience, then points you to the best next step.
Starts with
Rides
Starts with
Food
Starts with
Delivery
Ayo request
User asks
“Ayo, get me across town without wasting money.”
Ayo recommends
Wait 4 minutes, then take the lower-cost rideshare option.
Example ranking across arrival time, price, and reliability when the user prefers saving money if the delay is small. This is a product preview, not a live quote.
Trust
High
Savings
Lower fare
Delay
Short wait
Product
Ayo is not trying to be another ride app, food app, review site, or shipping company on day one. It is the trusted layer above them: understand the request, compare the path, recommend the move, and learn from what the user chooses.
Ayo is built around the idea that people do not want ten options. They want the best move for their situation.
Ayo learns from previous requests, accepted recommendations, preferences, and feedback so future answers fit the person better.
The product starts with rides, food, delivery, sending, and local business decisions, then expands into deeper execution flows.
Use cases
Build path
01
Live provider data for rides, food, delivery, and local services
02
User profiles that learn speed, savings, trust, and convenience preferences
03
Selection and completion tracking to improve future recommendations
04
One-tap handoff into the service that can complete the job