Digital twin for the built environment

商业地产投资分析费时费力，且以判断为主。在传统分析中，所有数据都是手动来源、清理和解释的。比较分析是不完整的，因为数据往往很稀少，从而导致主观的、有偏见的决定。非传统数据，如社会参照、流动性和关键的当地因素，很少被考虑在内。有价值的历史性交易渠道和现有的投资组合洞察在电子邮件链中被忽略或丢失。只使用了一小部分潜在数据，限制了风险分析的深度和质量。Built AI正在创建一个人工智能支持的平台，使房地产投资者能够做出最佳的数据驱动的投资决策。我们基于云的SAAS平台通过结合街头数据洞察、快速而强大的金融建模以及利用历史数据集进行动态学习的机器学习，为投资者提供更好的房地产决策方式。在这个项目中，BuiltAI将进行研究，以构建一个新的数据平台和分析工具。该技术将提供基于ML的先进数据分析工具，使购房者、业主和租户能够获得更多信息，例如超本地信息，以优化他们的商业物业。我们将为用户提供关于英国位置、建筑和租户的最新分析，重点是五个主要城市中心，并包括其他价值驱动因素，如客流量、人口统计、供应、需求、交通等。BuiltAI平台将使用户能够考虑任何物业，识别该位置和该物业类型的关键数据洞察。特别值得一提的是，BuiltAI将提供街道层面的细粒度数据洞察，让用户对市场有比目前更深入的了解。这项研究将加速英国在建成环境中的经济发展，并改善房地产空间的投资和使用，以满足后冰盖英国的需求。

Commercial property investment analysis is time-consuming and judgment based. In traditional analysis, all the data is sourced, cleansed and interpreted manually. Comparative analysis is incomplete, as data is often sparse, leading to subjective, biased decisions. Non-traditional data, such as social referencing, mobility and key local factors, is rarely taken into account. Valuable historic deal pipeline and existing portfolio insights get ignored or lost in the email chains. Only a fraction of potential data is used, limiting risk analysis depth and quality.Built AI is creating an AI-powered platform that will enable real estate investors to make the best data-driven investment decisions. Our cloud-based SAAS platform provides investors with a better way to make property decisions, through a combination of street-level data insights, fast & powerful financial modelling and machine learning that leverages historical datasets for dynamic learning.In this project, BuiltAI will conduct research to build a novel data platform and analytics tools. The technology will offer an advanced ML-based data analytics tool that will allow property buyers, owners and tenants to get far more information, e.g. hyper-local, to make optimal use of their commercial property.We will provide users with the most up to date analytics on locations, buildings, tenants in the UK, with a focus on five of the major urban centres, and include other value drivers such as footfall, demographics, supply, demand, transportation, etc. The BuiltAI platform will enable users to consider any property, identify the critical data insights in that location and for that property type. In particular, BuiltAI will provide granular data insights at a 'street level' that gives users a deeper understanding of the market than is currently available.This research will accelerate UK economic development in built environments and improve the investment in and use of real estate space, to meet the needs of a post-covid UK.