Grant Your Company's Business Knowledge to Generative AI: SiNCE Launches "Ontology Boost" Service for Ontology Construction and Operation Support

SiNCE Inc. (Headquarters: Minato-ku, Tokyo; Representative Director: Masato Ippitsu) has launched "Ontology Boost," a new service that provides one-stop support for building, connecting, and operating an ontology, a knowledge base that enables generative AI to correctly understand business operations.

By establishing an ontology outside of the LLM, major generative AI models such as ChatGPT, Claude, and Gemini can be prompted to provide answers that cite sources, aligned with your company's terminology, KPIs, and business rules.

In collaboration with Databricks Unity Catalog, Genie, and Vector Search, you can begin accumulating your company-specific knowledge base in as little as 4 weeks.

Background: "AI Doesn't Understand Our Business" Even After Introduction

Even with the widespread adoption of generative AI like ChatGPT, Claude, and Gemini, many companies still face challenges in AI utilization. The primary reason is not the AI's performance.

It's the structural issue of "proprietary business knowledge not existing in a place the AI can read."

What is an Ontology?

What is Ontology Boost?

Ontology Boost is a proprietary service developed by SiNCE that provides integrated support for "building, connecting, and operating" this ontology. There is no need to make the AI memorize business knowledge. Instead, your company's dedicated knowledge dictionary is placed outside the LLM, designed for the AI to reference each time it generates an answer.

The concept behind Ontology Boost is referencing, not memorizing.

Features: Grows with Use

Ontology Boost is designed so that your company's dedicated knowledge accumulates and is updated with continued use. The following three mechanisms work continuously.

Specifically, the "Hearing AI" component is SiNCE's unique strength. It structures and accumulates the "intuition" and "judgment criteria" of veteran employees, which are difficult to document, from voice interviews. This makes it easier for new employees to have a basis for judgment, and their wisdom remains within the organization even through retirements or personnel changes.

Effects: How Answers Change With and Without an Ontology

From "plausible answers" to "answers that are easy to use for decision-making." This is the role of an ontology.

Why SiNCE Can Provide This Service

Building an ontology requires both "the ability to deeply understand business operations" and "the technical skill to structure data." SiNCE possesses both of these crucial capabilities.

Post-Implementation Image

- Management: AI-generated figures become easier to use in meeting materials, reducing back-and-forth for verification of grounds. - Organization: Veteran employees' judgment remains within the organization, reducing reliance on individuals. - Continuity: Even with the emergence of new LLMs, your company's knowledge assets can be carried over as is.

Implementation Steps: Starting from 4 Weeks

A perfect data foundation is not required. You can start with your existing scattered documents.

Even while waiting for generative AI performance to improve, you can start accumulating business knowledge today.

Company Profile

Company Name

SiNCE Inc.

Representative

Masato Ippitsu, Representative Director

Established

February 27, 2020

Capital

¥59,000,000

Location

WTC Annex 11-12F, 2-3-8 Hamamatsucho, Minato-ku, Tokyo 105-0013

Business Activities

Data utilization support, AI implementation and consulting,

DX promotion support, marketing, advertising operations, etc.

URL

https://since2020.jp/

Inquiries Regarding This Matter

Company Name

SiNCE Inc.

Service Name

Ontology Boost

Service Site

https://since2020.jp/ontology

Inquiry

https://since2020.jp/contact/

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