BigGeo AI: Where AI Meets the Physical World
BigGeo AI is now available inside ChatGPT and Claude. It gives these AI assistants access to real-world spatial data, what’s actually happening in real places. This solves a fundamental gap: AI systems excel at reasoning about their training data, but they don’t know what’s happening in the physical world.
As companies accelerate location-based decisions, they’re turning to AI assistants for answers. But without access to real world data, those answers remain educated guesses. Spatial data is effectively unreachable for the people who need it. Site selection questions like where to open a location, which sites face exposure, or what’s missing from a market typically require briefing a specialist and waiting weeks for analysis. BigGeo AI closes this gap by connecting AI assistants to actual spatial data and running real computations, then returning answers in seconds.
The Strategic Shift
According to Brent Lane, CEO of BigGeo: “AI can reason brilliantly about language and images, but it’s been blind to the physical world. BigGeo is the Spatial Cloud, and putting it inside ChatGPT and Claude means the ‘where’ behind a decision is finally one plain-language question away, grounded in real, governed data, delivered in seconds. This is a new layer of infrastructure, not another app to learn.”
How It Works
Users ask ChatGPT or Claude spatial questions in plain language about real-world data using licensed datasets, open data, or company information. BigGeo resolves the geography, runs the query, and returns the result at the speed of conversation, not the speed of a project.
There’s no fixed catalog. BigGeo AI pulls from whatever sits in a customer’s BigGeo library: over a thousand open datasets available to add, company data uploads, and datasets licensed from the BigGeo Marketplace. The connector’s reach expands as customers add new data.
Critically, only the answer travels. BigGeo runs spatial computation and returns results without ever handing raw data to the AI model. Not as context, attachments, or training input. This makes it safe for business-sensitive data. A customer can ask about licensed feeds, company files, or sensitive assets in plain language, and the answer returns without exposing underlying records to third parties.
Real-World Applications
A sample question “Rank these 12 Alberta sites for new grocery stores. Consider the population who need grocers nearby, proximity to our existing stores, competitor density, neighborhood growth, and whether we can actually build there. ” returns: Top 3 Recommendations: NE Calgary, SW Calgary, SE Edmonton Avoid: Downtown Calgary, St. Albert (too much nearby competition).
Use cases include site and market decisions (teams get competitor analysis instantly instead of waiting weeks), infrastructure and coverage (planners identify gaps in conversations instead of months of manual mapping), and business questions (companies ask sensitive questions without uploading data to third parties).
The Impact
Brett Jones, President, said: “The speed changes everything. A site selection decision that took weeks now takes minutes. An infrastructure risk assessment that required consultants now happens in a conversation. That’s not optimization, that’s a fundamental shift in how location-based decisions get made.”
Availability
BigGeo AI is live today. New accounts include 500 free credits.
Source : Biggeo
