Announced details
Average time to ramp up in B2B sales: approximately 5.7 months
Reduction through systematic onboarding: up to 3.4 months
Quota attainment: up 14–16%
Cost of hiring and replacing 1 sales professional: approximately ¥15.7 million–¥18.6 million
Opportunity loss per vacancy: approximately ¥4.1 million–¥6.5 million per month
Group company. The solution is provided jointly.
Based in Shinjuku-ku, Tokyo. Representative Director: Koga Akira (古賀暁). Established on 15 April 2022. Business description and capital: Not disclosed.
In this announcement the company addresses none of Contract Value / Offering price / Impact on Business Performance.
Gangly『Sales Onboarding Statistics: 2026 Benchmarks on Ramp Time』
| Item | Details |
|---|---|
| Names of Products / Services Covered | SDI Agentic AI Role-Playing, SyncLect Data Intelligence（SDI）, AI Workflow Engineering |
| Counterparty | LogTech |
| Counterparty overview | Based in Shinjuku-ku, Tokyo. Representative Director: Koga Akira (古賀暁). Established on 15 April 2022. Business description and capital: Not disclosed. |
| Relationship with the Company | Group company. The solution is provided jointly. |
| Launch date | 30 July 2026 (service launch, actual) |
| Applicable area | Sales training, Customer service, Customer Support, Contact Centers, Human Capital Development, Manufacturing and maintenance, Finance, Manufacturing, Mobility |
| Quantitative Effects | Average time to ramp up in B2B sales: approximately 5.7 months, Reduction through systematic onboarding: up to 3.4 months, Quota attainment: up 14–16%, Cost of hiring and replacing 1 sales professional: approximately ¥15.7 million–¥18.6 million, Opportunity loss per vacancy: approximately ¥4.1 million–¥6.5 million per month |
| Source | Gangly『Sales Onboarding Statistics: 2026 Benchmarks on Ramp Time』 |
Items this document does not state (10)
These are items the company does not state in this document. We do not leave them blank, nor fill them in from other sources or by inference.
The reasons the company gives
The company's own explanation, not something inferred from the numbers.The aim is to move AI role-playing beyond a simple training tool by accumulating and improving company-specific decision-making criteria and frontline expertise as reusable knowledge assets, thereby supporting talent development, standardizing sales quality and advancing the solution toward an enterprise OS.