Sinequa Assistant brings GenAI to the workplace Watch the video

Sinequa Assistant

Unleash the power of enterprise Generative AI to drive results

Delivering unparalleled accuracy and efficiencies so you can accelerate the path to innovation

From discovery to impact – all in one platform

While consumers have rapidly adopted ChatGPT and other generative AI models, business users are faced with a unique challenge:

On its own, Generative AI for Enterprise is known for fabricating data to satisfy a prompt. These “hallucinations” result in inaccurate and unreliable outputs. When integrated with a world-class intelligent search engine, however, Enterprise search generative AI draws from governed data to provide trustworthy, contextualized results.

Sinequa Assistant, powered by Enterprise Generative AI and a state-of-the-art Generative AI search engine, represents more than 20 years of industry-leading innovation across natural language processing (NLP) and deep learning.

The result?

A cutting-edge AI search experience designed to revolutionize how your workforce discovers information, validates insights, develops new products and ideas, and delivers impact. Don’t miss out on the opportunity to experience the future of Generative AI for Enterprise. Request a demo today!


Sinequa Assistant Brings Generative AI to the Workplace

Talk to an expert

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Generate answers–not just documents

Leveraging the power of Enterprise Generative AI with multiple layers of deep learning analysis, Sinequa Assistant approaches knowledge discovery with humanlike understanding so you can count on high-resolution relevance every time. Elevate your search experience with Generative AI for Enterprise today!

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Insights you can trust

Reliable information starts at the source. Sinequa harnesses the power of an advanced Generative AI search engine to source answers from your governed enterprise data. This ensures you can always count on contextualized analysis and trustworthy insights. Elevate your validation process with Generative AI for Enterprise today!

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Converse with your content

Sinequa Assistant, powered by Enterprise GenAI, works harder so you can work smarter. Outsource the grunt work of content summarization and fact-finding to your new virtual assistant. This empowers you to spend more time doing what you do best: developing innovative products and ideas with confidence. Elevate your development process with Enterprise Search Generative AI today!

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Innovate from the inside out

AI-powered search doesn’t replace your workforce–-it augments their contributions. Expediting manual processes and time-to-insights empowers better decision-making, faster innovation, and stronger results. Transform the way you deliver results with Generative AI Search today!

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3X your productivity

It’s like having a personal assistant who:

  • Can quickly synthesize large volumes of information.
  • Has read—and can easily recall—all content relevant to your role.
  • Answers every question with unparalleled speed and accuracy.
  • Is a skilled researcher and effective educator.
  • Can be trusted to keep your information private and secure.
  • Is a great writer (in any language or style).
  • Rapidly creates new materials based on existing knowledge.

The Sinequa Advantage

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Improved relevance

Leveraging 20+ years of innovation across deep learning and natural language processing, Sinequa leads the industry in fine-tuned relevance across complex data sets.

User Interface
Flexible integration

Integrate with whichever generative AI model best suits your needs–even an internal one–as long as it can connect via API.

Universal connectivity

Sinequa seamlessly connects to all your content sources so you can access the entirety of your enterprise's knowledge--across all content types--from a single search bar.

Enterprise-grade security

Sinequa uses the permissions of your existing systems, so employees only see what they’re authorized to see.

Fast deployment

Sinequa’s intelligent search platform comes ready to go out-of-the-box. All four models are pre-trained to perform well on enterprise content and do not require training on your dataset, now or in the future.

Built for complexity

Sinequa’s enterprise search platform is designed for critical, intensive, and large-scale use. With no limits on document volume or user count, the platform is built to evolve alongside your needs.

Sinequa significantly differentiates itself through its use of deep learning (artificial neural networks), and how it uniquely applies multiple deep learning models to provide more accurate search results.

Alan Pelz-Sharpe, Founder, Deep Analysis

Frequently Asked Questions

Neural Search is a new approach to retrieving information based on the application of advanced machine learning for Natural Language Understanding (NLU). Specifically, it refers to the use of deep neural nets (there’s the “‘neural”), a specific form of machine learning, to aid in information retrieval. These machine learning techniques search for results with a greater appreciation for the meaning of phrases and their context, instead of searching for the presence of specific words or word forms.

Bidirectional Encoder Representations from Transformers (BERT) is a machine learning framework for NLP developed by Google with a large transformer language model at its core. With TensorFlow BERT as a foundation, Sinequa has built and pre-trained four Deep Neural Network (DNN) models using transfer learning on custom data sets for enterprise content for its Neural Search capabilities.

Neural Search will improve the search result relevance for any use case where the intelligent search is already being used. Text that provides context – full sentences and long phrases – stands to show the most improvement. Examples of places where neural search augments employee abilities may include:

  • Research and development, in areas such as drug discovery and product engineering
  • Direct answers for customer service, compliance or risk management
  • Employee onboarding
  • Predictive analytics and chatbots/virtual assistants

Unlike any other search solution available on the market today, Sinequa’s Neural Search uses four models to improve relevance: Meaning Encoder, Passage Ranker, Query Generator, Answer Finder.

Generative AI, also known as generative adversarial networks (GANs), is an advanced AI technique that involves two neural networks: a generator and a discriminator. The generator creates new data samples, such as images, text, or even audio, while the discriminator evaluates the authenticity of those samples.

The generator and discriminator engage in a competitive process, where the generator aims to produce data samples that are indistinguishable from real ones, and the discriminator strives to accurately classify real and generated samples. Through this iterative process, both networks improve their abilities, generating highly realistic and original data samples.

Applications of Generative AI

Generative AI has a plethora of real-world applications that span various domains, each showcasing its incredible potential:

  • Enterprise Search: Generative AI enhances enterprise search by improving the relevance and accuracy of search results, enabling natural language understanding, and facilitating personalized search experiences. It also aids in content summarization and recommendation, making information retrieval faster and more efficient.
  • Natural Language Processing (NLP): In the field of NLP, generative models enable the automatic generation of human-like text. This technology finds applications in chatbots, language translation, and content creation for various industries.
  • Drug Discovery: The pharmaceutical industry benefits from generative AI by speeding up the drug discovery process. AI models can propose novel chemical compounds with specific properties, reducing the time and cost required for drug development.
  • Healthcare: In medical imaging, generative AI can generate high-quality images that aid in accurate diagnosis and treatment planning. Additionally, it helps in generating synthetic data for privacy-preserving research.
  • Manufacturing: Generative AI transforms manufacturing with optimized product design, predictive maintenance, and efficient supply chain management. It fosters sustainability, enables mass customization, and streamlines automation.