The platform automatically collects utility bill data from hundreds of providers through partnerships with data aggregation services, eliminating manual data entry.
Compares the energy and water performance of each building against similar properties in its portfolio, region, or national databases like ENERGY STAR.
Uses algorithms to detect unusual spikes in utility consumption that may indicate leaks, equipment malfunctions, or billing errors.
Generates reports tailored to meet specific regulatory requirements, such as New York City's Local Law 97, Boston's BERDO, or other local benchmarking ordinances.
Tracks the performance of energy efficiency projects by comparing post-retrofit consumption to a calculated baseline, quantifying actual savings.
Large multifamily property owners and managers use WegoWise to track utility costs across thousands of units. By benchmarking buildings, they identify properties with abnormally high water or energy use per square foot. This data informs targeted retrofits (like lighting upgrades or boiler replacements) and helps negotiate better utility rates, directly improving net operating income.
Corporate sustainability officers and real estate investment trusts (REITs) utilize the platform to aggregate utility data into carbon emission calculations. WegoWise provides auditable data trails and generates reports for frameworks like GRESB, CDP, and annual sustainability reports, demonstrating progress towards public environmental goals to investors and stakeholders.
Property owners in cities with mandatory benchmarking and performance laws (e.g., NYC, Washington D.C., San Francisco) use WegoWise to collect required data, calculate metrics like Energy Use Intensity (EUI), and automatically format and submit reports to municipal authorities. This ensures compliance and helps avoid substantial fines.
Facility managers and accounting departments leverage anomaly detection to spot billing errors or rate miscalculations from utility companies. By catching overcharges and monitoring for continuous flow leaks indicated by water usage, they recover costs and prevent waste, turning utility management from a passive expense into an active cost-control center.
Asset managers and engineers use historical consumption trends and benchmarking data from WegoWise to build business cases for capital improvements. They can prioritize projects based on potential savings, forecast payback periods, and use the platform's M&V tools post-installation to verify that projected savings are actually achieved, securing trust for future budgets.
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15Five operates in the people analytics and employee experience space, where platforms aggregate HR and feedback data to give organizations insight into their workforce. These tools typically support engagement surveys, performance or goal tracking, and dashboards that help leaders interpret trends. They are intended to augment HR and management decisions, not to replace professional judgment or context. For specific information about 15Five's metrics, integrations, and privacy safeguards, you should refer to the vendor resources published at https://www.15five.com.
20-20 Technologies is a comprehensive interior design and space planning software platform primarily serving kitchen and bath designers, furniture retailers, and interior design professionals. The company provides specialized tools for creating detailed 3D visualizations, generating accurate quotes, managing projects, and streamlining the entire design-to-sales workflow. Their software enables designers to create photorealistic renderings, produce precise floor plans, and automatically generate material lists and pricing. The platform integrates with manufacturer catalogs, allowing users to access up-to-date product information and specifications. 20-20 Technologies focuses on bridging the gap between design creativity and practical business needs, helping professionals present compelling visual proposals while maintaining accurate costing and project management. The software is particularly strong in the kitchen and bath industry, where precision measurements and material specifications are critical. Users range from independent designers to large retail chains and manufacturing companies seeking to improve their design presentation capabilities and sales processes.
3D Generative Adversarial Network (3D-GAN) is a pioneering research project and framework for generating three-dimensional objects using Generative Adversarial Networks. Developed primarily in academia, it represents a significant advancement in unsupervised learning for 3D data synthesis. The tool learns to create volumetric 3D models from 2D image datasets, enabling the generation of novel, realistic 3D shapes such as furniture, vehicles, and basic structures without explicit 3D supervision. It is used by researchers, computer vision scientists, and developers exploring 3D content creation, synthetic data generation for robotics and autonomous systems, and advancements in geometric deep learning. The project demonstrates how adversarial training can be applied to 3D convolutional networks, producing high-quality voxel-based outputs. It serves as a foundational reference implementation for subsequent work in 3D generative AI, often cited in papers exploring 3D shape completion, single-view reconstruction, and neural scene representation. While not a commercial product with a polished UI, it provides code and models for the research community to build upon.
