Welcome to the only enterprise search solution that understands both people and data.
A solution that lets anyone find, process and connect information by meaning instead of keywords.
A solution that performs better than the most famous search engines and secures data and documents from end to end. With industrial strength, full scalability and 100% GDPR / CCPA compliance.
Data used to be a problem. Now it's a source of profit, performance and customer satisfaction.
Discover why adopting SensibleSearch is the most sensible decision you can make today...
Availability and support
GAFAM-free and therefore
Exponential growth, rising costs, lifecycles, silos, security, compliance...
While traditional, keywords-based solutions can't cope, SensibleSearch delivers field-tested solutions.
tungstenSee how Total S.A. uses it
In this video*, Total S.A. presents Smarty, its HSE (Health, Safety & Environment) assistant built entirely with LEXISTEMS SensibleSearch.
Smarty's mission is to facilitate access to the rich variety of HSE resources available to all employees within the Group.
Based on LEXISTEMS' Sensible.ai® technology, SensibleSearch works by meaning instead the competition's plain keywords. As a result, Smarty understands both users questions and the target multilingual documents, however complex. It therefore returns results that are way more pertinent and actionable compared to other benchmarked solutions.
The Smarty project was imagined and developed from A to Z in less than 6 months by a small team of HSE people at Total and data engineers at LEXISTEMS. None of the thousands of documents (Office files, PDFs, intranets...), some of them with hundreds of pages, has been modified in any way. Everything was ingested "as is" by SensibleSearch, regardless of format, structure and language.
* Subtitles are available in 7 languages.
(White paper) Leveraging enterprise data with automatic Artificial Intelligence and Natural Language Processing...
Problems solved - Enedis, France's main power grid operator, needed a search / data matching engine capable of answering technical questions and detailing corporate processes from a significant documents base (Office and PDF files, mainly). The SensibleSearch solution was delivered with two user interfaces : one is an interactive bot, the other is a more usual enterprise search engine except that it features a number of user-definable parameters (see the sidebar) to fine-tune results. Both implementations were operational as initially delivered, with backends and data residing on premises. Both implementations support vocal input so that users get results hands-free.
Data types - The source knowledge base is a repository of technical documents covering all aspects of Enedis' internal procedures including field interventions, hardware information, security guidelines and HR-related processes. None of the original documents had to be modified or otherwise prepared beforehand.
Problems solved - This is a particular SensibleSearch use case. Enedis, France's main power grid operator, wanted to be able to predict intervention times for their field technicians, in real time and on a 24/7 basis. To deliver the desired results with strategic precision, SensibleSearch matches a huge history of past incident reports with the specificities of the current intervention: site layout, types of equipments, failure locality, etc. The predictions are further refined with contextual conditions like traffic and weather data, served by SensibleSearch's ancillary public sources. A particular attention was given to data input: speech-enablement (via LEXISTEMS' SensibleSpeech) and AI-based autocompletion enable call centers' respondents to give time estimates immdiately upon alerts.
Data types - The data history used for predicting mainly consists of Excel files summing up incident reports. None of the original documents had to be modified or otherwise prepared beforehand.
Problems solved - Total S.A., one of the six "Supermajor" oil companies in the world, has a very strong commitment to health, security and environment (HSE) matters. To raise awareness and share internal + regulated best practices among employees, they needed to facilitate access to their global treasury of HSE resources. Smarty, based solely on SensibleSearch, was the solution: a multi-purpose bot capable of answering any HSE-related question, text or speech, with direct access to reference documents. Smarty is shown here in its English user interface, with a question asked in English returning results regardless of the documents' language.
Data types - The available HSE resources include Office files, PDFs, corporate intranets and public websites contents, in several languages. The tables shown in the screenshot are rendered from a PDF table. None of the original documents had to be modified or otherwise prepared beforehand.
Problems solved - Société Générale, a leading global 'universal' bank, faces complex compliance regulations on most of its operations. For SensibleSearch, the objective is simple: to help everyone find the right, actionable information as if they could ask a team of experts available 24/7 in all timezones. Since regulations may vary by countries or regions, this use case returns relevant results regardless of the language of the question and of the target documents. The screenshot shows results in English and French to a question in English, with SensibleSearch's result evaluation widget enabled.
Data types - The compliance resources included in this use case consist of an intranet with explicative pages leading to regulatory PDF documents, either public or of SocGen origin. None of the original documents had to be modified or otherwise prepared beforehand.
Problems solved - Service-Public.fr is the global portal of the French public services. It exposes a comprehensive collection of information, resources, reference texts and official forms relating to legal matters for individuals, businesses and non-profits. At the request of a major insurance company, SensibleSearch was missioned to build a 24/7 legal Q&A system based on Service-Public.fr. The objective: to help the company save millions a year in level-1 customer assistance. In this application, SensibleSearch gives access to a wealth of knowledge via a natural-language interface (to be later integrated to the company's website and mobile apps). The screenshot shows a sample question and its final answer plus the offical references and a number of machine-learnt suggestions to help users find more on the current topic.
Data types - Service-Public.fr is an open data website. Its entire content is just read, daily and automatically, for direct availability in SensibleSearch.
tungstenSee a commented SensibleSearch story
Enterprise search should be about maximizing data value and competitive edge.
From discovery to analysis, connection and access, SensibleSearch creates immediate value on the entire data value chain.
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