overflow Inc. (Headquarters: Minato-ku, Tokyo; CEO: Yuto Suzuki; hereafter 'overflow') has launched Offers 'Budget-Based Retainer', a new service on its AI-era engineer recruitment platform 'Offers', where a dedicated team supports the recruitment of high-class talent such as CTOs, VPoEs, and AI engineers.
Offers 'Budget-Based Retainer' is a new contract model that allows recruitment budgets to function as an 'investment', charging only for what is used and offering refunds for unspent portions based on contract terms. It provides a package that systematically manages Offers' proprietary AI technologies (Career Drift Model / Story Scout) and professional consultancy support within an annual budget.
Background of the Service Recruiting high-class talent such as CTOs, VPoEs, and AI engineers is a challenging area with limited candidates in the market. While fixed-cost retainer contracts are common in the industry, issues such as long lead times to successful recruitment and dissatisfaction with budget utilization have been observed.
To ensure recruitment outcomes and budget usage are linked more fairly, Offers provides 'Budget-Based Retainer' as a new support model for companies. It allows for a short lead time to start activities and commits deeply to corporate recruitment challenges as a long-term partner.
Features of Offers Budget-Based Retainer The biggest anxiety about retainer contracts is that 'fees are not returned even if hiring is unsuccessful'. Offers Budget-Based Retainer charges only for what is used and refunds unspent portions according to contract terms. It is a new contract model that makes recruitment budgets function as an 'investment'.
Budget-Based Retainer is one of the recruitment partnership models offered by Offers, along with 'AI RPO', which began full-scale operation on June 2, 2026. Unlike traditional retainer contracts where fixed costs continue to be incurred, it is offered as a package operated systematically with an annual budget.
Why 'Zero Waste' is Realizable Budget-Based Retainer can incorporate 'refunds for unspent portions' because Offers possesses three unique mechanisms: - Database of 35,000 engineers: Not dependent on external media, fundamentally changing the cost structure. - Labor cost reduction by AI: Automation of searching, scout text creation, and timing of transmission minimizes labor costs and secures the source for refunds. - Trust through recruitment performance: Over 1,000 successful implementations and high recruitment success rates provide the evidence to underwrite refund risks internally.
Offers' Proprietary 'Psychological Stage Model' Budget-Based Retainer incorporates Offers' unique 'Psychological Stage Model' as the axis of recruitment design. This model reads the movement of an engineer's sentiment toward job changes across 7 stages, based on data from over 35,000 engineers.
Instead of dividing people simply into 'those who want to change jobs now' and 'those who don't', it carefully reads how they are facing work or job changes at the moment. Based on this, it delivers the company's story continuously at the right angle and timing. This new scout design is incorporated as the core of the Budget-Based Retainer. * Both Career Drift Model and Story Scout are patent-pending.
Two Approaches: Neither Waiting Nor Just Chasing Starting from the Offers engineering database of over 35,000 people, it addresses rare high-class hiring through both wheels: an approach of 'surveying candidates and recommending fitting companies' and 'continuously following candidates that fit company job openings'.
Accuracy Improves as You Keep Using It Offers is not a one-off recruitment service. In an 18-month continuous partnership, the company's own recruitment data is accumulated, and AI matching accuracy improves with each iteration.
From 3 months to 6 months, from 6 months to 12 months. Recruitment reproducibility is born from the 'accumulation of relationships'.
Offers handles candidate searching, scout design, follow-up, and timing management. Companies can focus on initial interviews, meetings with candidates, and selection processes.
FACT BOX
- Source: PR TIMES
- Category: New Product
- Products / services: Offers / AI RPO