Hiway raised approximately ¥300 million in a Series A funding round on the 10th, bringing its total capital to ¥465 million to further automate inquiry handling and quotation drafting for B2B sales teams. Existing investor DNX Ventures led the round.
How the automation handles sales workflows
The platform functions as a partner relationship management (PRM) and CRM tool, sharing information between manufacturers and sales agents on a single interface. When an inquiry arrives via email, phone, or web form, the AI agent extracts key details like product names, model numbers, quantities, and delivery dates. It then cross-references this data against product master files, price lists, and past quotations to generate response proposals and draft quotes. The system features bidirectional data synchronization with existing CRM and sales force automation tools, and includes a standard corporate database of 5.4 million companies.
Target market and current adoption
Hiway targets B2B enterprises that manage multi-tiered distribution channels, specifically those working with more than 10 agencies. This includes sectors like manufacturing, IT, SaaS, and finance. The company designed the platform for enterprise use, citing Box Japan as an early adoption example. The shift toward AI for Sales operations is accelerating as companies seek to standardize quotation processes across large agency networks.
Leadership and future development
The new capital will fund further development of the AI agent, expand external system integrations, and strengthen enterprise implementation support. Hiway also plans to recruit across both engineering and business teams. The company aims to increase the autonomy of its AI agents and evolve the product into a direct revenue engine.
Hiway was founded in November 2021 by CEO Fumitaka Kubo. Kubo previously worked in corporate sales at SoftBank and served as Executive Officer VP of Product at domestic CRM startup Matsurika. The company previously raised ¥120 million in a 2022 seed round from DNX Ventures, Archetype Ventures, and East Ventures.
Why this matters for sales professionals
For sales professionals managing complex agency networks, automating quotation drafts removes a major administrative bottleneck. As these tools reduce manual data entry for sales representatives, professionals can explore an AI Learning Path for Sales Representatives to understand how daily workflows are shifting. Instead of manually cross-referencing price lists and past client history, reps can rely on the AI to assemble accurate proposals, shifting the daily focus from data entry to relationship management and closing deals.
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