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HERE Technologies and Wherobots partner to give AI agents geospatial intelligence. October 14, 2026 at 03:00 AM EDT i This article is third-party content and does not represent the views of this site. Tamar Securities, LLC make no guarantees regarding its accuracy or completeness. SAN FRANCISCO, CA / ACCESS Newswire / October 14, 2026 / Wherobots, and HERE Technologies, the world's leading mapping and location data company, have formed a strategic partnership to enable AI agents to understand and make precise, deterministic decisions about the physical world. Initially, Wherobots and HERE are integrating HERE Location Reasoning (HLR) with the Wherobots MCP (Model Context Protocol) server. Customers of this integrated solution can now build AI agents that combine complex and large-scale physical world analysis with precise geospatial intelligence in a single workflow. These include use cases such as last-mile delivery and logistics planning, infrastructure risk computation, dispatch design and resource allocation, site selection, property and casualty underwriting, and more. AI has the potential to positively transform how and where assets are allocated and move. But to achieve this, AI must be capable of effectively utilizing the data about the physical world. Currently, AI agents heavily rely on external tools to generate the context required to make decisions, but, because of the preference of AI models to select free and open tools that they can easily harness, the teams that utilize them frequently start with solutions that seem initially robust, but are often flawed. They can't analyze the data across spatial modes at scale, and often require bespoke and complex builds to deliver answers that are only partially reliable. Together, Wherobots and HERE bring the tools designed to enable AI agents to understand the physical world through large, diverse datasets and deterministic guidance, enabling a new tier of optimization and innovation. Through an MCP integration, AI agents turn on high-performance inference and analytics on multiple types of spatial and non spatial data at various scales within Wherobots, and join this with precise geospatial intelligence offered by HLR. The result is a high-value agentic workflow, with the capability and precision that can unblock innovation and resource optimization across industries and use cases. "AI is moving from generating content to making decisions and taking action in the physical world. That requires more than a language model. It requires a trusted understanding of where things are, what rules and conditions apply, and what actions are possible in the physical world. The partnership between HERE and Wherobots gives developers a simple way to bring that geospatial intelligence into the systems they are already building." - Mahesh Shah, Senior Vice President of Enterprise & AI Solutions at HERE Technologies "Agents increasingly answer questions, complete tasks, and run workflows on our behalf, and many of those tasks require deterministic answers about the physical world. Adding HERE Location Reasoning to the Wherobots context engine for physical world data gives people and agents that precision in one workflow. Leading technology and data providers have a responsibility to make that possible." - Mo Sarwat, CEO, Wherobots Why Tamar Securities, LLC is building this Wherobots and HERE have been working on this problem from complementary directions for some time. Wherobots processes satellite imagery, mobility, weather, risk and operational data at regional to planetary scale to produce forecasts, scores and enriched datasets. HERE Location Reasoning provides AI-native access to trusted HERE geospatial intelligence, including live traffic, geocoding, place discovery, passenger and commercial vehicle route optimization and EV charging intelligence. The future of agentic workflows need both. The partnership between the two companies makes it easy for agents to process large scale and historical physical world datasets, as well as inform decisions with live, on the ground intelligence, so that AI can accelerate and increase the accuracy of their location-aware development cycles. How it works An AI agent connects to one endpoint, the Wherobots MCP server. Wherobots sends each sub-task to the engine built for it: * Wherobots: large-scale spatial joins, imagery and mobility processing, forecasts, risk surfaces, and answer refinement. * HLR: geocoding, search, routing, isochrones, place semantics, and constraint-aware decisions. What agents can do Each workflow below runs as a live demo app in the Havasu Knowledge Lake. * Property and casualty underwriting. HLR geocodes and validates each address at rooftop and place-level precision. Wherobots scores the property against flood, wildfire, hail, wind, and earth-movement risk surfaces, plus recent imagery and ML damage predictions, then adds HLR's emergency-response accessibility. The agent returns one underwriting decision. Users can also ask in plain language, such as "the top 10 properties at risk within 10 miles of downtown Denver," and get ranked results on a map. Open in Havasu * Last-mile network design. Wherobots screens a metro for drone-nest and depot sites against demand, airspace, terrain, and buildable land. HLR travel-time reach then ranks each candidate by service-area coverage under real road and airspace constraints. Demo: Texas drone nest siting. Open in Havasu * Telecom capacity and coverage. Wherobots combines speed tests, tower and infrastructure inventory, terrain, and tree canopy to separate capacity-limited from coverage-limited service and find underserved areas building by building. HLR routes field crews to the sites with the largest reliability impact. Demo: California signal quality. Open in Havasu * Predictive logistics routing. Wherobots combines global weather forecasts with historical traffic and road context to predict tomorrow's conditions across every metro a carrier serves. HLR plans truck-legal, constraint-aware routes against that forecast to minimize cost. Demo: Route Sentinel scores freight corridors against near-real-time wildfire, smoke, and red-flag hazards and proposes cross-modal reroutes. Open in Havasu * Data center site selection, continent to address. Wherobots screens every viable parcel across a continent against demand, demographics, mobility, and competition. HLR evaluates each finalist with drive-time isochrones, place semantics, and junction-level access quality. Demo: the National Suitability explorer screens parcels across Australia down to address-level fit. Open in Havasu * Utility wildfire risk and crew dispatch. Wherobots scores every transmission span for ignition risk from imagery, vegetation, and weather. HLR routes inspection crews to the right access points under truck access rules and seasonal closures. Demo: the California grid wildfire app scores every span statewide across fuels, NDVI vegetation, terrain, and fire weather, with current conditions from VIIRS and GOES thermal detections. Open in Havasu Outputs can be delivered to any cloud storage or lakehouse. These examples show how the Wherobots integration with HLR can support broader real-world AI use cases across logistics, infrastructure, insurance, site selection, mobility, field operations asset deployment and customer support, where AI systems need reliable spatial context at scale, with precise intelligence to support operational decisions. Availability Within Wherobots integration with, HLR is available through Wherobots Spatial AI Tools and MCP Server, with support for the Wherobots first-party agent coming soon. To explore the integration, documentation, examples and reference workflows, visit wherobots.com. About Wherobots Wherobots is the context engine for physical world data. It is the data and infrastructure layer that enables processing of small to large scale physical world data, geometries such as buildings, waterways, road networks, as well as imagery from satellites, drones or airplanes. Existing AI infrastructure was trained on text, code, and traditional database tooling, but the most consequential enterprise decisions often deal with assets and infrastructure in the physical world: supply chains, properties, geopolitical risk, and infrastructure. Built by the original creators of Apache Sedona, Wherobots lets teams process imagery at planetary scale, run precise spatial joins across billions of geometries, deploy computer vision models on earth data, and give AI agents persistent memory of everything their organization has built within the physical world. Apache Sedona and Wherobots are used by some of the most forward thinking companies to optimize their products in the realities of the physical world and stay ahead of an evolving planet including: Amazon, Nearmap, Ordnance Survey, Allstate, Uber, T-Mobile, Zillow, Oak Ridge National Laboratory, J.B. Hunt, Land O' Lakes, and more. 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NIO and HERE Technologies expand European collaboration to support fresher maps and Navigation on Autopilot driving experiences. *Expanded collaboration brings continuously refreshed location intelligence across NIO's entire European vehicle lineup, supporting smarter navigation experiences and future assisted driving innovation. Waktu & Kalender Amsterdam - HERE Technologies, the world's leading mapping and location data company, and NIO Inc. (NYSE: NIO; HKEX: 9866; SGX: NIO), a leading company in the global smart electric vehicle market, today announced an expanded collaboration to advance intelligent navigation and future AI-driven driving experiences across Europe. Building on the successful deployment of HERE's industry-leading location technologies in NIO vehicles, the expanded collaboration now extends beyond Firefly to NIO's entire European vehicle lineup, including the ET5, ET7, EL6, EL7 and EL8. The collaboration combines HERE's automotive grade location intelligence with NIO's innovation in smart electric vehicles to deliver the evolution of NOA and future intelligent driving experiences tailored for European roads and drivers. As vehicles become increasingly software-defined and intelligent, high-quality location intelligence plays a vital role in helping vehicles understand and respond to the road environment. Continuously refreshed map data provides critical context about road conditions, traffic regulations, lane configurations and other real-world changes, supporting safer, more informed and more capable driving experiences. Temukan lebih banyak Berita Lokal Asia Tenggara & Kepulauan Pasifik As part of the expanded relationship, NIO is adopting HERE's streaming map capabilities to deliver fresher map content across European markets. By providing continuous updates on road network changes, traffic regulations and points of interest, HERE helps NIO ensure drivers benefit from more accurate, reliable and up-to-date navigation experiences. "NIO is committed to delivering a premium intelligent mobility experience for our customers around the world," said Chris Chen, Vice President of NIO Global Business Development. "By deepening our collaboration with HERE, we are providing drivers with more up-to-date map experiences today while strengthening the foundation for future innovations in intelligent navigation and assisted driving across Europe." Deon Newman, Senior Vice President and General Manager for Asia Pacific at HERE Technologies said: "As Chinese automotive brands continue expanding globally, they need reliable, fresh and scalable location intelligence to deliver the driving experiences customers expect. We are proud to deepen our collaboration with NIO and support its European growth journey through advanced mapping, navigation and location technologies. Together, we are delivering a navigation experience tailored for European consumers, while shaping the next generation of intelligent driving." Driving innovation across Europe By combining NIO's innovation in smart EV technologies with HERE's AI-powered location intelligence, mapping expertise and automotive-grade map content, the two companies are laying the foundation for next-generation assisted driving capabilities tailored to the unique requirements of European road networks and driving environments. Looking ahead, HERE and NIO will continue exploring how advanced location intelligence and fresh map intelligence can help accelerate the development and deployment of AI-driven driving experiences, including future innovations enabled by NIO World Model (NIO's end to end AI driving architecture) and NOA. Pembelajaran Mesin & Kecerdasan Buatan Temukan lebih banyak Pemerintah Pusat & Daerah About HERE Technologies HERE is the global leader in mapping and location technology. For over 40 years, Riauone has been powering innovation for the world's most recognizable companies: from launching its first digital map in 1985, to shaping the future of software-defined vehicles today. With the industry's freshest and richest unified map and a portfolio of products, services and solutions that serve the needs of multiple industries, HERE reveals opportunities that drive progress and unlock new possibilities for every moving vehicle. Discover more at here.com. NIO is a global smart electric vehicle company founded in November 2014. Dedicated to shaping a sustainable and brighter future together by providing high-performance smart electric vehicles and exceptional user experience, NIO is the first car company listed on the NYSE, HKEX and SGX. NIO currently has three major brands under its umbrella: NIO, ONVO and firefly. Ten years into establishment, NIO is now one of the leading companies in the global premium smart electric vehicle market, committed to fostering its own research and development capabilities for core technologies, the company had filed for and obtained over 13,000 patents. Additionally, NIO has developed NIO Full Stack, a collection of 12 technology domains. Currently, NIO has R&D centers and manufacturing facilities in over 10 locations, including Shanghai, Hefei, Beijing, Nanjing, San Jose, Munich, Oxford, Budapest, Singapore and Abu Dhabi. Additionally, it has built a sales and service network across 24 countries and regions, including China, Europe, the Middle East, Central Asia, Southeast Asia, and Central America. NIO Inc. currently offers eight premium smart electric vehicle models under the NIO brand, two smart electric vehicles under the ONVO brand and one small, smart, high-end electric vehicle under firefly brand. As of September 1, 2026, NIO Inc.'s cumulative deliveries reached 1,260,485 vehicles, reinforcing its position as a leader in advancing technological innovation and premium brand development in China's smart EV industry. Temukan lebih banyak Referensi Geografis Berita Lokal Panduan Kota & Daerah

Tesla's Cybercab has a long way to go to beat Waymo. September 20, 2026 06:00 AM EDT Mike Nefkens, CEO of HERE Technologies, joins Molly Boigon, tech and innovation reporter at Automotive News, on the "Shift" podcast. Nefkens explains how incumbent map companies such as HERE are competing with big-tech upstarts Google and Apple. Boigon also speaks to Laurence Iliff, who covers Tesla, about what Tesla will have to do to catch up with Waymo in the robotaxi race.