Enhance your agentic AI strategy with location context
Deliver trusted outcomes with explainable AI
Help ensure agent decisions are compliant and explainable, enabling systems to negotiate and choose the best possible outcome.
Handle complexity in real-world scenarios
Empower AI agents to process spatial intelligence with the context of time, user intent and your unique business constraints.
Optimize your transition to agentic AI
Co-create tailored agentic systems aligned to your specific industry needs, business logic and IT landscape.
Build industry-grade agentic systems with location tech

Maximize the reliability of your decision-making
Layer location intelligence on top of your agentic AI systems to make precise, real-time decisions with the industry’s most comprehensive, up-to-date and high-quality map data. Enhanced with critical domain intelligence, we deliver the accuracy your system needs to take autonomous action and thoroughly explain its rationale.

Navigate complexity with confidence
Process complex, constraint-rich queries with location reasoning that effectively extracts location intelligence so agents and LLMs can interpret and act on it. From rerouting fleets to avoiding restrictions or balancing anticipated risk against user goals, the engine allows agents to process and deliver operationally sound outcomes.

Enable goal-based interactions
Drive intuitive human-to-agent and agent-to-agent interactions through natural language. Enable agents to read text, comprehend intent and negotiate, explain and coordinate effectively through natural language processing (NLP) across operational networks, from individual fleets to complete cities.

Continuously improve with feedback loops
Harness enterprise-scale feedback loops to drive measurable improvements in data quality and operational efficiency. These systems allow agents to learn from new data, real-world behaviors and prior agent results.

Establish real-world context
Convert raw spatial data into rich real-world context that AI agents can understand and act on. By combining road structure, rules, patterns of movement and domain knowledge, HERE turns coordinates into a living, semantic map that helps agents navigate and reason about complex environments.






