Tensorflight, a property knowledge and insights supplier has introduced the launch of TensorAssist, its new chatbot assistant powered by OpenAI’s ChatGPT-4 know-how. TensorAssist is obtainable to all current 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 threat in a fraction of the time. Consequently, it is going to be in a position to carry out extra correct and environment friendly analyses on properties on a a lot bigger scale than ever earlier than.
The Tensorflight platform consists of property knowledge garnered from three sources of images – floor degree, aerial, and state-of-the-art satellite tv for pc photos – in addition to knowledge from public, contributory, and proprietary sources to supply complete protection of 99 per cent of properties in developed international locations.
Tensorflight’s in depth property knowledge platform consists of data on constructing attributes resembling development kind, roof pitch/geometry, and numerous 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 professional and can ultimately be capable to present detailed data and insights on any property requested by the consumer, in addition to supply steering on related dangers.
Standardising unstructured textual content paperwork
Commenting on the launch, Jakub Dryjas, CEO, Tensorflight stated: “With TensorAssist, our purpose is to set a brand new benchmark for velocity and accuracy in threat evaluation within the industrial property insurance coverage sector.
“Our AI assistant permits insurance coverage underwriters to obtain detailed data that beforehand relied upon the assist of our group, remodeling the complete course of. The know-how not solely will increase efficiencies but additionally permits us to streamline operations, cut back prices, and in the end supply even higher worth to our clients.”
Tensorflight can be harnessing superior GPT textual content processing capabilities to deal with the problem of standardising unstructured textual content paperwork, resembling Assertion of Values (SoVs) and constructing permits, which generally arrive in all kinds of codecs.
By leveraging this know-how, Tensorflight will make sure the consistency and coherence of those paperwork, additional streamlining the underwriting course of. Moreover, Tensorflight is enhancing its property knowledge underwriting initiatives by providing concise textual summaries of properties and constructing portfolios to supply additional important insights for insurers.
Wanting 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 will probably 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 the complete underwriting course of whereas streamlining operations and maximising efficiencies.
Francis Bignell
