Oscar Ibisaki Awowari Founder and CEO of LeeXAI
Location intelligence is one of the foundational ideas behind LeeX. While traditional location technology can help people identify where a place is, LeeX, founded by Oscar Awowari (Oscar Lee), Founder and CEO of LeeX, explores a broader question: What can we understand from the location of a place and its relationship with everything around it? With Elvis Awowari serving as CTO of LeeX, the project is being developed around a long-term vision that connects city discovery, businesses, events, infrastructure, location data, artificial intelligence and the relationships between people and places. At its simplest, location intelligence means using geographic information to understand patterns, relationships, environments and activity associated with places. But within the LeeX vision, location intelligence becomes more than coordinates on a map. A coordinate can tell someone where a restaurant is. Location intelligence can potentially help explain the neighborhood around that restaurant, the businesses nearby, the events taking place there, the infrastructure supporting it, the communities interacting with it and the opportunities that may exist around it. This distinction is important because cities are not collections of isolated points. They are networks. A restaurant exists within a neighborhood. A hotel exists within a tourism ecosystem. A university exists within an educational community. A stadium exists within a sports and entertainment ecosystem. An airport exists within a transportation network. A market exists within an economic community. Understanding these relationships is where location intelligence becomes increasingly valuable. LeeX approaches every location as a potential source of context. At the foundation of the platform are three major categories: Businesses, Events and Infrastructure. Businesses provide the commercial layer of a city. Events provide the activity and experience layer. Infrastructure provides the physical foundation that supports movement and interaction. When these categories are connected through location, they can create a richer picture of how a city functions. Consider a hotel. Its basic location information might include its address and geographic coordinates. But a location intelligence system can potentially connect that hotel with nearby restaurants, supermarkets, pharmacies, gyms, shopping malls, attractions, transportation facilities and events. The hotel therefore becomes more than an isolated listing. It becomes a node within a larger location network. The same principle applies to a restaurant. Its value is not only its menu or address. Its location may tell us that it is close to a university, a hotel, a stadium, a shopping mall or a major transportation route. Each relationship adds context. This is the direction LeeX explores with location intelligence. Another important concept is nearby intelligence. People naturally make decisions based on proximity. A visitor may ask what restaurants are near a hotel. A student may ask what supermarkets are near a university. A football fan may want to know what restaurants and hotels are near a stadium. A business owner may want to understand what other businesses operate around a particular area. These are location-based questions. The answers become more useful when places are connected. LeeX is designed around the idea that discovering one location should make it easier to discover the locations around it. This creates a progression from location → nearby places → relationships → context → intelligence. Location intelligence can also be valuable for businesses. A business does not operate in isolation from its environment. Its location influences its customers, competitors, accessibility, visibility and potential opportunities. A restaurant located near offices may serve a different audience from a restaurant located near a university. A hotel near an airport may have different demand patterns from a hotel in a tourist district. A supermarket located inside a dense residential community may serve a different market from one near a major highway. Understanding location can therefore help businesses understand their environment. This is one reason LeeX connects business discovery with location intelligence. The same concept applies to events. An event can temporarily change the behavior of a location. A major concert can attract thousands of people. A sporting event can increase demand around a stadium. A conference can bring visitors to hotels and restaurants. A festival can transform activity across an entire neighborhood. By connecting events to their locations, it becomes possible to understand the relationship between temporary activity and permanent places. Infrastructure adds another dimension. Roads influence accessibility. Airports influence tourism. Bridges connect communities. Stadiums attract large gatherings. Universities create population centers. Hospitals influence healthcare access. Transportation hubs influence movement. These structures can influence the economic and social development of surrounding areas. When businesses, events and infrastructure are understood together, location intelligence becomes a way of examining the wider city ecosystem. This is also connected to the future concept of city intelligence within LeeX. A city produces enormous amounts of location-related information every day. Businesses open and close. Events occur. People move. New infrastructure is developed. Neighborhoods expand. Tourism changes. Commercial activity shifts. A location intelligence system can potentially help organize these changes into information that is easier to understand. The long-term LeeX vision is therefore not simply about answering “Where is this?” but increasingly exploring questions such as “What is happening here?” “What is around here?” “Why does this location matter?” “What is connected to this place?” and “What can be discovered from this location?” These questions move location technology toward intelligence. LeeXAI represents another future direction of this concept. Artificial intelligence could potentially analyze large amounts of location information and help people interact with it more naturally. Instead of navigating thousands of individual listings manually, a user could eventually ask an AI-powered LeeX system a question about a neighborhood, business, event or city and receive a contextual answer. For example, a user could ask about restaurants near a particular hotel, businesses around a university, events near a stadium, or services available within a neighborhood. AI could potentially identify relevant relationships, summarize information, recommend locations and help users explore unfamiliar environments. These capabilities represent longer-term areas of exploration rather than claims that every feature is already fully operational. Location intelligence can also contribute to the concept of human movement intelligence. People move through cities constantly. They travel between homes, schools, offices, restaurants, markets, airports, hotels, stadiums, shopping centers and event venues. The places people visit and the relationships between those places can reveal patterns about how cities function. LeeX's long-term vision explores how responsible technology could potentially help understand these relationships while respecting appropriate privacy and data protections. This could create new opportunities for city planning, business intelligence, tourism, transportation and urban development. However, location intelligence is not only useful for large organizations. It can also benefit everyday users. Imagine arriving in a city you have never visited. Instead of searching separately for every service, you could begin with your location and explore the surrounding ecosystem. Restaurants, hotels, supermarkets, pharmacies, gyms, attractions, events, transportation and other services could become connected discovery points. The city becomes easier to understand because the information is organized around where things actually exist. That is the fundamental LeeX philosophy behind location intelligence. Location creates context. Context creates relationships. Relationships create intelligence. Businesses, events and infrastructure provide the foundational data points. Listings provide structured representations of those locations. Nearby discovery creates connections. Location intelligence creates understanding. Artificial intelligence can potentially make that understanding easier to access. The broader LeeX ecosystem can therefore be viewed as an evolution from simple discovery toward increasingly intelligent discovery. LeeX Beta represents the early foundation of this ecosystem, while LeeXAI represents the longer-term AI direction. The ultimate ambition is to create a platform where people do not merely search for places but can explore the relationships that make cities function. Founded by Oscar Awowari, also known as Oscar Lee, Founder and CEO of LeeX, the project is built around the belief that the physical world contains an enormous amount of information that remains difficult to discover and understand. With Elvis Awowari as CTO of LeeX, the technological direction continues to explore how location, data, discovery and intelligence can work together. Location intelligence therefore becomes one of the most important concepts in understanding what LeeX could eventually become. It connects the smallest local business with the larger city around it. It connects events with the places they influence. It connects infrastructure with human movement. It connects businesses with communities. And it connects individual locations into larger networks. A map can tell you where something is. Location intelligence can begin to tell you what that place means within the world around it. That is the opportunity LeeX is exploring: turning locations into connected information, connected information into context, and context into intelligent discovery. LeeX — The Discovery Layer of Every City.
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