KiWi at SusHi Tech Tokyo 2026: Bringing the AI Energy Operating System to Japan

From April 27–29, KiWi New Energy joined SusHi Tech Tokyo 2026 at Booth B246 as part of the Taiwan startup pavilion, showcasing the AI Energy Datacenter (AI-EDC) to Japanese retailers, utilities, and global climate-tech partners. Three days of live demos, conversations with FamilyMart, Decathlon, Tesla Powerwall, Nippon Solar, GreenPhard, Plug and Play, and dozens of Japanese enterprises confirmed the same signal we have seen across Asia — multi-site retailers and SMEs need an operating layer that turns scattered solar, storage, and demand into a single, dispatchable green portfolio.

KiWi team at its SusHi Tech Tokyo booth.
KiWi team at its SusHi Tech Tokyo booth. Existing news image source
Date: Apr 29, 2026Written by: KiWi New EnergySource: SusHi Tech Tokyo 2026

SusHi Tech Tokyo 2026, held April 27–29 at Tokyo Big Sight, is one of Asia's largest startup and sustainability gatherings, bringing together climate-tech founders, corporates, investors, and policy leaders from across the region. KiWi New Energy joined as part of the Taiwan startup pavilion, exhibiting at Booth B246 across the Energy, Climate, and SaaS / Platform categories.

Our message in Tokyo was simple: the future of the power grid is virtual. Traditional grids are rigid and centralized; renewable generation is variable and distributed. The gap is closed not by more hardware, but by an AI operating layer that orchestrates generation, behind-the-meter storage, and per-site consumption in real time. That is exactly what the KiWi AI Energy Datacenter (AI-EDC) does — Match, Aggregate, Optimize.

On the booth, visitors saw live walkthroughs of AI-EDC across two flagship customer stories. Empowering Sustainable Retail with FamilyMart's Green Retail Model — targeting 180M kWh by 2026 across 3,000 stores — and the Decathlon RE100 Fast Track, which already covers 9 stores with on-site solar, smart metering, and AI-based dispatch. Both cases illustrate how a multi-site operator can move from a pilot to portfolio scale within a single platform.

Conversations spanned the strategic alliance partners featured on the back wall — FamilyMart, Decathlon, Tesla Powerwall, Nippon Solar, GreenPhard Energy, Plug and Play — and extended to Japanese convenience store chains, food service groups, real estate owners, utilities, and trading houses exploring how to industrialize their RE100 commitments. A recurring theme: Japanese mid-market players want green power on the same kind of subscription-style economics that hyperscale buyers already enjoy, and they want an operating partner who can plug into existing meters, inverters, and storage without ripping out hardware.

We also met with several global VC and accelerator teams, including the Plug and Play network, to align on KiWi's next phase — deeper aggregation across Asia, expansion of the Virtual Power Plant footprint, and standardizing blockchain-verified RECs as the default audit trail for corporate decarbonization disclosures.

Thank you to every founder, customer, and partner who stopped by Booth B246 over the three days — and to the SusHi Tech Tokyo and Taiwan startup pavilion teams for hosting us. If we did not get a chance to talk in Tokyo, we would love to continue the conversation: reach us at cs@kiwinewenergy.com or via the Contact page.

Event Photo Gallery

Exhibition photo recap | KiWi’s AI-EDC display at SusHi Tech Tokyo 2026

SusHi Tech Tokyo 2026 took place at Tokyo Big Sight from April 27 to 29, 2026. KiWi New Energy presented AI Energy Datacenter (AI-EDC) at booth B246 in the Taiwan startup exhibition area. These supplementary images record booth exchanges, screen displays and on-site explanations, showing the exhibit themed ‘AI Operating System for Energy’ as a photographic recap of the existing exhibition report.

On-site exchanges at the KiWi booth and AI energy display panels.
Screen displays and on-site explanations at booth B246.
Another angle documenting the booth display and exchanges.

Images provided by KiWi / the owner