Kyndi Bolsters NLP with Search-as-a-Service

As more and more unstructured data accumulates, enterprise search tools are becoming increasingly sought after. Businesses are seeking ways to maximize value from the everyday data they collect, often in the form of textual documents, and search tools can help find hidden opportunities in these mountains of unstructured data.

One search company offering solutions is Kyndi, purveyors of a natural language search platform that the company says maximizes the relevancy and speed of finding answers in text-based data using the same words and phrases in familiar speech using natural language processing.

Deloitte estimates that up to 80% of valuable insight can be found in unstructured, text-based data. Kyndi notes that employees are spending as much as 400 hours a year searching for information in textual data, and traditional keyword-based search tools have so far not been ideal for finding answers.

Kyndi’s platform processes this unstructured data and allows users to search using natural language questions to provide what it calls “natural language search-as-a-service.” The platform uses a neuro-symbolic technique with advanced AI algorithms to understand the true intent of an end-user question. It has automatic support for language variations such as common synonyms, semantically equivalent words, acronyms, and misspellings. More specifically, the platform uses an NLP programming language called Prolog that applies logical computational reasoning to text documents to find context-specific answers to queries. To do this, Prolog tokenizes text to identify sentences and phrases and connects them with real-world references, creating relationships between them. The technology needs little training data to be effective which the company says can alleviate bottlenecks caused by the lack of labeled training data and AI expertise.

Kyndi was co-founded in 2014 by CEO Ryan Welsh and AI expert Arun Majumbar in an effort to bring together humans and AI through language. The founders were also focused on making AI explainable, which is another important feature of Kyndi’s NLP search platform. For transparency and auditing purposes, knowing the context of information and applying standard policies throughout all data sources and departments is vital for regulatory compliance and ethical AI practices. Kyndi’s platform can show the exact location of queried results down to the document, page, or sentence, and features debugging capabilities to help improve search performance. Additionally, the company says the platform is easy to customize and extend with a suite of API services, a robust developer portal, and quick start guides.

Kyndi’s NLP platform architecture is shown here. Click to enlarge. Source: Kyndi

This week, Kyndi announced it was named the 2022 Competitive Strategy Leader in natural language processing by research firm Frost & Sullivan. It was previously named the 2021 Frost & Sullivan North America Entrepreneurial Company of the Year for excellence in natural language processing. Kyndi says its platform was acknowledged for its innovative hybrid AI approach, ease of management and use, and rapid time to tangible business value.

“Since roughly 80% of enterprise data is unstructured, Kyndi’s innovative NLP solutions help businesses unlock the value in this data, delivering material impact to the organizations,” said Best Practices Research Analyst and author of the report, Samantha Fisher. “Kyndi has developed and implemented its strategies with its customers in mind. The company builds its portfolio with best-in-class solutions designed to augment human-centered processes with a spectrum of enabling AI technologies. Extremely positive customer feedback and extensive research and development activities serve Kyndi as critical differentiators, enabling them to adapt rapidly to emerging customer needs and technology voids.”

CEO Welsh feels validated by the recognition of Kyndi’s customer-first approach: “Leveraging our best-in-class Natural Language Search-as-a-Service, we empower business users with the right answers every time they search unstructured, text-based data,” said Welsh. “We focus all of our efforts on building AI solutions that are successfully rolled out to users, empowering them with accelerated, smart decision making across multiple use cases that primarily revolve around improving customer and employee search experiences. We are thrilled to receive such an important validation from our customers and to be named the North American Competitive Strategy Leadership Award in the NLP market.”

Related Items:

Natural Language Processing: The Next Frontier in AI for the Enterprise

10 NLP Predictions for 2022

Are Neural Nets the Next Big Thing in Search?