Tensorflight, a property information and insights supplier has introduced the launch of TensorAssist, its new chatbot assistant powered by OpenAI’s ChatGPT-4 expertise. TensorAssist is obtainable to all present Tensorflight industrial property insurance coverage clients. It permits them to quickly perceive the huge array of information factors in its property intelligence platform.
With TensorAssist, clients can obtain a a lot deeper understanding of how Tensorflight evaluates danger in a fraction of the time. Because of this, will probably be capable of carry out extra correct and environment friendly analyses on properties on a a lot bigger scale than ever earlier than.
The Tensorflight platform contains property information garnered from three sources of images – floor degree, aerial, and state-of-the-art satellite tv for pc photos – in addition to information from public, contributory, and proprietary sources to supply complete protection of 99 per cent of properties in developed international locations.
Tensorflight’s intensive property information platform contains info on constructing attributes equivalent to building sort, roof pitch/geometry, and quite a few tales. That is along with extra detailed options like wall composition and situation, facade situation and even the presence of highly-combustible aluminium composite panels (ACP).
Designed particularly for the property insurance coverage sector, Tensorflight’s digital AI assistant will function a useful property evaluation knowledgeable and can finally be capable to present detailed info and insights on any property requested by the consumer, in addition to provide steering on related dangers.
Standardising unstructured textual content paperwork
Commenting on the launch, Jakub Dryjas, CEO, Tensorflight mentioned: “With TensorAssist, our purpose is to set a brand new benchmark for pace and accuracy in danger evaluation within the industrial property insurance coverage sector.
“Our AI assistant allows insurance coverage underwriters to obtain detailed info that beforehand relied upon the help of our group, remodeling your entire course of. The expertise not solely will increase efficiencies but in addition permits us to streamline operations, scale back prices, and finally provide even higher worth to our clients.”
Tensorflight can also be harnessing superior GPT textual content processing capabilities to handle the problem of standardising unstructured textual content paperwork, equivalent to Assertion of Values (SoVs) and constructing permits, which generally arrive in all kinds of codecs.
By leveraging this expertise, Tensorflight will make sure the consistency and coherence of those paperwork, additional streamlining the underwriting course of. Moreover, Tensorflight is enhancing its property information underwriting initiatives by providing concise textual summaries of properties and constructing portfolios to supply additional crucial insights for insurers.
Trying forward, Tensorflight’s long run ambition is to make use of buyer suggestions from TensorAssist to construct a fully-fledged AI underwriter that may function with full autonomy and superior accuracy. This superior system can be able to receiving directions and steering from a senior (human) underwriter inside an insurance coverage firm.
By combining the experience of a senior underwriter with the capabilities of an AI underwriter, Tensorflight goals to empower a single particular person to effectively oversee the workload of a whole autonomous underwriting group, revolutionising your entire underwriting course of whereas streamlining operations and maximising efficiencies.
Francis Bignell
