Beans.ai provides location intelligence services that power logistics optimization, retail marketing, public safety, telecom, and insurance. The core product is a suite of APIs for advanced geocoding and routing that helps drivers reach destinations efficiently by offering detailed place information such as unit numbers, parking lots, entrances, and other locational attributes. Its platform integrates with existing systems to enable comprehensive dispatch, DOT-compliant time management, routing, and driver safety training. Beans.ai differentiates itself through industry-focused data partnerships and integrations, enabling scalable, system-ready location data and dispatch capabilities for clients ranging from logistics providers to retailers, public safety organizations, telecoms, and insurers. The company’s goal is to improve operational efficiency and safety by delivering precise location data and routing tools that streamline workflows and support strategic partnerships.
Company Size
51-200
Company Stage
Early VC
Total Funding
$17M
Headquarters
Palo Alto, California
Founded
2018
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Beans.ai has released a comprehensive geocoding dataset for Phoenix covering apartment complexes, condominiums, mobile homes and critical access waypoints including parking entrances, building entries and loading docks. The data is freely available to companies and agencies operating in the Phoenix metro area. The dataset provides sub-address precision beyond standard GPS, solving the "last 100 feet" logistics bottleneck in multi-unit developments. It includes verified coordinates, named access waypoints and structured delivery pathways designed for autonomous vehicles, drones and dispatch systems. Beans.ai's data currently powers six million daily deliveries nationwide and is used by 911 dispatch centres, fire departments and law enforcement. The company is making the Phoenix dataset publicly available to support the city's autonomous delivery ecosystem and active pilot programmes.
Beans.ai has launched an AI-powered mapping suite for multifamily property operators, combining navigation, unit-level analytics and revenue tools. The platform transforms static property listings into interactive intelligence systems with 3D maps, wayfinding capabilities and monetisation features. Early users report a 32% increase in listing engagement, 75% reduction in time on market, and $600 additional revenue per unit annually through monetising underused spaces like storage and parking. Built on a database of 14 million mapped apartments across 100,000 communities, the suite integrates with Entrata and RealPage. It addresses industry inefficiencies where the average apartment lease cycle exceeds 17 days and 80% of prospects lack visibility into unit details and pricing before touring. The Palo Alto-based company targets marketing and revenue operations teams seeking to accelerate leasing velocity and maximise net operating income.
Engrain files federal copyright infringement lawsuit against Beans.ai to protect its intellectual property and 15 years of mapping innovation. * By Engrain * Feb 12, 2026 DENVER, Feb. 12, 2026 /PRNewswire/ - Engrain, the industry leader in unit-level maps and property visualization technology, announced today that it has filed a federal lawsuit in the U.S. District Court for the District of Colorado against One Hundred Feet, Inc. (d/b/a Beans.ai) and its founders. The complaint alleges widespread copyright infringement and the systematic misappropriation of Engrain's copyrighted and proprietary Unit Maps. Engrain filed this lawsuit to protect its intellectual property from unlawful copying and misuse. The complaint alleges how Beans.ai allegedly bypassed more than 15 years of Engrain's research and development by improperly copying and incorporating Engrain's copyrighted unit mapping materials and related proprietary elements into its own competing products, all to fuel its own product development and market entry. Engrain's investigation revealed unmistakable "digital fingerprints" within the Beans.ai product - including identical building spacing, unique georeferencing anomalies, and specific software artifacts - corroborating Engrain's belief that the defendants intentionally and deliberately copied 1000s of Engrain's copyrighted works rather than creating original content. "True innovation doesn't happen through shortcuts," said Brent Steiner, CEO at Engrain. "We believe that our intellectual property was used to jump-start partnerships and integrations under false pretenses. By passing off Engrain's valuable maps as their own, we also believe Beans has misrepresented their capabilities and tried to build a competitive edge on the work of others." A central concern of the litigation is to determine the extent to which the Beans.ai mapping platform copies and uses Engrain's intellectual property and innovation. As a result, Engrain cannot confirm whether maps provided by Beans.ai - past, present, or future - are free of Engrain's intellectual property. Accordingly, Engrain believes the industry should be aware of the inherent risks in utilizing a platform built on data sources accused of copyright infringement and other claims. "Our clients and partners rely on Engrain for accuracy and integrity," added Steiner. "While we welcome fair competition, we must take this step to ensure that the standards of our industry are upheld and that 15 years of genuine R&D remain protected." The complaint seeks an injunction to prevent further infringement, as well as monetary and statutory damages for the harm caused by the alleged misconduct. About Engrain Engrain's mission is to fundamentally change the way people find, lease, and manage property. A recognized leader in next-generation interactive property maps and data visualization software, Engrain's products, including SightMap and TouchTour, are used by thousands of multifamily and commercial real estate properties across the country. For more information, visit engrain.com. Media Contact Jocelyn Quall 714-401-1385 SOURCE Engrain
Last mile isn’t enough anymore — it’s time to look at the last 100 feet. If you live in an apartment building, chances are you know the pain of your delivery driver being unable to find your unit. You may have even had a package stolen because the driver couldn’t get into the building, instead leaving it on the front step