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Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

List of IBM Open Building Insights (OBI) Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Government Of Maharashtra Government 530000 $60.7B India IBM IBM Open Building Insights (OBI) Geographic Information System 2024 n/a In 2024, Government Of Maharashtra implemented IBM Open Building Insights (OBI). IBM Open Building Insights (OBI) is a Geographic Information System running on IBM Cloud and positions the state government to use geospatial intelligence for urban planning and energy planning functions across Maharashtra. The deployment leverages an IBM built AI model hosted on the IBM watsonx AI and data platform to classify building usage, using building footprint, number of floors, roof imagery, location and other map data to determine residential or non residential status. OBI consolidates building location, height, footprint area and usage type on an interactive map, and includes height estimation models provided by the German Aerospace Center DLR and electricity status and consumption layers from Open Energy Maps to create a multi layered urban dataset. Architecturally, IBM Open Building Insights (OBI) runs as an online mapping platform on IBM Cloud where model outputs are visually consolidated for non technical users and policymakers. The initiative includes an explicit plan to explore integration of the open source Modeling Urban Growth MUG model, which uses satellite time series, slope, elevation, demographic and road layout data to predict future urbanization, and the platform is designed to ingest and present such spatial and temporal datasets. The solution was developed through IBM Garage methodology and expanded under the IBM Sustainability Accelerator program, reflecting a governance model that connects technical teams, energy planners and policymakers for evidence based decision making. Operational rollout focuses on mapping building and energy infrastructure needs for state level urban development and energy access planning in Maharashtra, with the IBM model and DLR model made available through OBI for the state. OBI is publicly available and has been used elsewhere for energy planning, with documented use in Kenya where Makueni County used OBI derived insights in planning efforts that are projected to benefit citizens by 2030. For Government Of Maharashtra, IBM Open Building Insights (OBI) supplies a Geographic Information System capability to centralize building and urban growth intelligence for urban planning and energy planning teams.
Makueni County Government 1200 $100M Kenya IBM IBM Open Building Insights (OBI) Geographic Information System 2024 n/a In 2024, Makueni County began using IBM Open Building Insights as a Geographic Information System to inform energy planning and urban development. IBM Open Building Insights runs on IBM Cloud and presents geospatial AI outputs through an interactive web map that consolidates building location, height, footprint and usage type for non-technical decision makers. The IBM Open Building Insights implementation incorporates a brand-new AI classification model built on the IBM watsonx AI and data platform to infer building usage using footprint, number of floors, roof imagery and location attributes, and it consolidates height estimates from the German Aerospace Center model and electricity status data from Open Energy Maps. Functional capabilities implemented include interactive map based visualization, building-level classification for residential versus non-residential use, and layered energy access and consumption indicators to support energy planners and urban policymakers. Operationally the platform is available publicly across all of Kenya and has been applied by Makueni County for county-level energy planning, supplying consolidated model outputs to local policymakers and planners. The Modeling Urban Growth open-source AI model, available on GitHub, is designed to predict future urbanization and is being explored for integration into IBM Open Building Insights to project infrastructure demand over time; Modeling Urban Growth is trained on multiple African countries including Kenya and can be re-trained with local datasets. The engagement was delivered through IBM’s pro-bono Sustainability Accelerator program and was conceptualized using the IBM Garage collaborative model, which guided platform design and the community-focused rollout. Based on information from IBM Open Building Insights, Makueni County obtained insights used to implement measures that are projected to benefit around 1,139,000 citizens by 2030.
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Buyer Intent: Companies Evaluating IBM Open Building Insights (OBI)

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating IBM Open Building Insights (OBI). Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating IBM Open Building Insights (OBI) for Geographic Information System include:

  1. Iowa State University of Science and Technology, a United States based Education organization with 5800 Employees

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