Find your next location. We’re building Empla to help you compare areas for your next storefront, see why they fit and find properties to investigate.
EMPLA Scripted product preview
Example question · the same brief in both views
I want to open a new coffee shop in Berlin. My concept is a takeaway chain. Also show any competitors in the vicinity.
This question is part of the script and can’t be edited.
Example location report
Compare the mapped places in Mitte, then inspect the selected cell and nearby cafés.
Fewest mapped POI rows in this example
H3 891f1d48bb3ffff
Plus 9 other mapped places.
A scripted location question, shown in Empla and through an illustrative agent connection. Planned capabilities, not live analysis.
We plan to bring demographics, mobility, competitors and catchment areas into one place so you can compare locations against your business needs. Start with your question and adjust it as you learn.
See what we’re buildingEmpla will combine demographic, mobility, competitor and catchment-area data to rank areas against what your business needs.
The planned rankings will explain why a location fits your business. You'll be able to compare alternatives and adjust the ranking when your format or requirements change.
We're building Empla to help you find relevant properties in those areas, with the evidence behind each suggestion available as you decide what to investigate.
An AI model doesn’t automatically have the spatial tools or current geospatial data needed to assess a location. We’re building Empla so teams and their agents can use that information when planning an expansion.
An MCP interface is in development so your chosen agent can use Empla’s location tools and evidence. You’ll stay in control of the decisions.
Read about the planned connectionLocation context for teams and agents.Illustrative locations · not product coverage
What we’re building, what the preview shows and how you’ll be able to use it.
We're building a location intelligence platform for expansion teams and AI agents deciding where to open their next storefront. It will rank promising locations and explain why they fit, with relevant properties to investigate.
We plan to combine demographic, mobility, competitor and catchment-area data with your expansion requirements. The scripted preview uses a limited OpenStreetMap example. It doesn't show all of those sources or run a live ranking.
An AI model doesn't automatically have the spatial tools or current geospatial data a location decision needs. We're building Empla to provide that data and the reasoning behind location suggestions. A planned MCP interface will make those tools available to agents.
No. You can start with your current question and return to a comparison or change your requirements later. Bring in existing stores, customer criteria or property requirements when you need them.
That's the plan. We're developing an MCP interface so your chosen agent can use Empla's tools and evidence. The preview shows how this could work, but the connection isn't live.
No. It follows a script adapted from our prototype. The functional MVP is still in development. The page doesn't run a fresh location analysis or send messages.
It shows OpenStreetMap geometry and mapped objects from the prototype's local example. The counts don't estimate demand or recommend opening a site.
Tell us about your business, the market you’re considering and the information you still need. We’d like to hear what would help you decide.