Sooon Inc. Officially Releases "SILAS," a Sales AI Agent That Eliminates Personalization in New Client Acquisition

Sooon Inc. (Headquarters: Osaka, Japan; Representative Director: Sota Kanemoto; hereinafter "the Company") officially released "SILAS," a sales AI agent that supports B2B companies in new client acquisition, on May 7, 2026.

SILAS service page screen

SILAS is a sales AI agent that supports the extraction of sales lists and the prioritization of outreach targets based on each company's winning patterns and judgment criteria in sales.

It systematizes the sales preparation process, which tends to rely on the experience and intuition of sales representatives—such as "who, when, in what order, and how to approach"—thereby creating an environment where sales representatives can concentrate on negotiations, proposals, and closing.

Background of Development

In new client acquisition in both B2B and B2C domains, many tasks, such as creating sales lists, researching prospects, and judging approach priorities, depend on manual work by sales representatives.

In particular, successful sales representatives often have their own unique judgment criteria for which companies to target, when to make contact, and in what context to propose.

However, such judgment criteria tend to be tied to individual experience and intuition, making it difficult to accumulate sufficiently within the organization. As a result, problems arise such as sales results being biased towards a few individuals, loss of know-how due to employee turnover, and increased costs for recruiting and training sales personnel.

To address these challenges, our company developed "SILAS" as a mechanism to support the sales preparation process before negotiations with an AI agent, rather than replacing sales activities themselves.

Features of SILAS

1. Extracts prospects with high current demand

SILAS automatically generates highly promising sales lists based on public information from sources like Google Maps and various portal sites.

It can extract prospects with high current demand based on web listings and the situation of companies and individuals, rather than "stale lists" that other companies have already approached. This allows for more accurate approaches to fresh lists.

It supports approaches not only to large corporations but also to regional small and medium-sized enterprises and store-based businesses, leading to the discovery of previously undiscovered prospects.

2. Analyzes SNS follower information

Recently, the number of people starting SNS is increasing. SILAS supports the analysis of personality traits and interests based on the follower information of linked SNS accounts.

By deciphering trends such as desire for approval and purchasing power, it becomes easier to consider "who to appeal to and with what message," making it easier to find angles for sales and advertising.

3. Extracts lists from diverse published information

In sales list creation, the number and quality of information sources determine success. SILAS supports the extraction of company information based on over 20 types of public information sources, depending on industry, area, and conditions.

By organizing candidate companies across multiple published information sources, it reduces the effort of manual searching and speeds up sales list creation.

SILAS operation screen

Anticipated Use Cases

SILAS is envisioned for use in companies such as the following:

・Real estate companies

For real estate companies, it is crucial to identify sales targets based on area, business type, listed information, managed properties, related businesses, and regional characteristics.

By utilizing SILAS, it supports the organization of prospects according to area and conditions, preparation for approaching related businesses, and efficiency improvement of continuous sales activities.

・Sales agency companies

Since sales targets and appeal content differ for each project, sales preparation tends to be labor-intensive and highly dependent on the experience and judgment of the person in charge.

By utilizing SILAS, it becomes easier to organize winning patterns for each product and systematize who to approach, in what order, and with what context.

・IT/Web companies

For IT/Web companies that provide web production, advertising operations, SNS operations, MEO measures, DX support, system development, AI introduction support, etc., while the range of industries they can propose to is wide, the judgment of which companies to prioritize tends to be personalized.

By utilizing SILAS, it becomes easier to organize prospects based on public information and portal site information, and to make initial approaches tailored to each company's situation.

・Human resources companies

For human resources companies that provide recruitment, career change support, headhunting, etc., it is crucial to identify potential candidates based on their job type, position, years of service, career trends, and estimated annual salary range.

By utilizing SILAS, it supports the organization of potential candidate information from multiple public sources, prioritization, and the design of scout messages and approach angles tailored to their careers.