Here Technologies has unveiled Here Location Reasoning, a geospatial grounding solution designed to enable artificial intelligence models and agentic systems to make accurate, location-aware decisions in real-world environments.
The solution addresses a recognised limitation in large language models (LLMs): while capable of describing the world, they rely on probabilistic text prediction rather than deterministic spatial computation. That gap, Here argues, creates operational risk — missed routes, failed automation, higher costs and inefficient workflows — particularly as AI agents move from answering questions to executing physical-world tasks.
How it works
Here Location Reasoning operates as a runtime execution layer, called by an AI system when a location-based decision is required. Rather than asking the language model itself to reason spatially, it converts location queries into structured execution flows, drawing on Here’s map data, live traffic feeds and road network intelligence to return consistent, decision-ready answers.
The system is built around four key performance characteristics:
- Deterministic results — identical inputs produce identical outputs, without hallucination
- Lower latency — execution is optimised to reduce response times in location-heavy workflows
- Reduced cost — token usage and unnecessary API calls are minimised
- Real-time accuracy — live signals including traffic conditions and road network status are incorporated into outputs
Data privacy is built into the architecture: no personal data, user identity, query history or attributable signals are retained or shared.
Use cases
The solution targets a range of operational scenarios. At the simpler end, these include finding an electric vehicle (EV) charger within five minutes of a route, or identifying a stopping point that avoids detour time. More complex applications include computing whether a heavy goods vehicle can legally execute a turn based on road restrictions, or calculating the fastest compliant route given vehicle type, live traffic and network constraints.
At scale, field service platforms can use the system to dispatch technicians without manual checks, while fleet operators can continuously reoptimise routes across multiple vehicles, time windows and live conditions.
Platform foundations
Here Location Reasoning draws on Here’s global road network database, which covers more than 68 million kilometres of roads across more than 200 countries and territories. The platform is continuously updated using data from billions of real-world signals and is reported by Here as the number-one ranked location platform globally among industry analysts, with more than 238 million vehicles currently using Here services.
“AI can describe the world, but it cannot reliably compute how the world works. Here Location Reasoning will change that,” says Christopher Handley, senior vice president of product management at Here Technologies. “As organisations move beyond basic, open data-driven queries to complex, real-world decisions, they are hitting a clear limit: AI models lack the data fidelity and capability to resolve spatial problems efficiently and cost effectively. Here Location Reasoning aims to provide the missing execution layer, enabling AI systems to compute spatial outcomes accurately and consistently, so they can act in the physical world with speed, confidence and minimal oversight.”
Here Location Reasoning is currently available through select Here-led customer and partner engagements. Further information is available at
