The operating system for global renewable energy - the AI dispatch layer between clean power and the businesses that use it.
A kiwifruit for a name, a datacenter for a heart. The mark travels between two homes 10,000 kilometers apart - Taipei, where the electrons flow, and San Mateo, where the pitch gets made.
Here is a fact that should bother anyone who thinks the energy transition is mostly about hardware: you can build all the solar panels you want, and the electrons will still show up at the wrong time, in the wrong place, for the wrong customer. The sun is generous and indifferent. It does not check your calendar. This is the gap KiWi New Energy decided to live in.
KiWi, founded in 2019 by Dr. Steve Huang and Ryo Lee, is nominally a renewable energy company, and the industry classifiers dutifully file it under semiconductors and renewables. But the thing KiWi actually makes is software - specifically an AI-Driven Energy Datacenter, which it abbreviates, with admirable restraint, as AI-EDC. The pitch is that the most valuable layer in the energy transition is not generation and not consumption but the dispatch layer that sits between them, deciding minute by minute where each kWh should go.
This is a slightly heretical position in a business obsessed with megawatts installed. KiWi's argument is that megawatts are increasingly commoditized - solar got cheap, everyone noticed - and that the scarce, defensible thing is the intelligence that matches a fragmented supply of clean power to a fragmented set of buyers who each want a little of it, certified, on time, and cheaper than the grid. If generation is the noun, KiWi wants to own the verb.
The company runs this from two headquarters roughly 10,000 kilometers apart - Taipei, Taiwan, where most of the actual electrons live, and San Mateo, California, where the fundraising and the American ambitions live. Its Chinese name, ε₯η°ζ, means kiwifruit, which is either a whimsical branding choice or a quiet joke about being small, green, and unexpectedly dense. Probably both.
What makes the story more than a slide deck is that KiWi has done something that is genuinely hard to do: it convinced Tesla Energy to let it into the control layer of its storage systems. In practice that means KiWi's AI can send actual discharge commands to Tesla batteries sitting inside FamilyMart convenience stores in Taiwan, deciding when to draw down stored energy based on its own predictions about consumption and grid capacity. Companies announce Tesla partnerships all the time. Getting permission to touch the controls is rarer, and it is the kind of moat that is built on trust rather than code.
The goal is to make green power subscriptions as easy as subscribing to Netflix.- Dr. Steve Huang, Co-founder & Chairman
The platform runs a five-step loop and executes autonomous decisions roughly every minute across a distributed fleet of meters and batteries.
Distributed grid management that aggregates 10,000+ connected meters into dispatchable virtual capacity.
Real-time energy intelligence delivering 90%+ prediction accuracy on consumption and grid thresholds.
Renewable energy certificates recorded on-chain for 100% traceable green power - the receipts RE100 reporting needs.
KiWi's edge is aggregation. It bundles fragmented demand from coffee chains, pharmacies, restaurants and SMEs into virtual demand pools - and captures the optimization layer, where the margin actually lives.
Figures are company-reported approximations. Bars illustrate relative scale, not exact percentages.
Green energy plus Tesla Powerwall storage, scaling from a 10-store pilot toward 3,000 stores in 2026 and roughly 180M kWh a year - with KiWi's AI holding the discharge controls.
RE100 compliance using rooftop solar and battery storage, reportedly reaching 83%+ green energy penetration outside summer peaks.
Around 40 restaurant locations onboarded to the platform - the kind of multi-site chain KiWi is built to serve.
400+ additional locations in development, the fragmented mid-market demand that traditional retailers tend to ignore.
Huang has spent more than 15 years in the semiconductor and solar industries, which makes him unusually qualified to argue that the panels are not the point. His career includes a stint at solar manufacturer Gintech, the co-founding of silicon wafer company Danen Technology - which later went public - and a self-funded microinverter startup that shut down after Huawei entered the market. KiWi is his fourth venture, and the first one where the core asset is an algorithm rather than a factory.
The through-line is a founder who has watched hardware commoditize up close, and concluded that the durable value has migrated to the layer that decides what the hardware should do. He co-founded KiWi with Ryo Lee, who serves as COO.
Launched in May as Taiwan's first household-focused green electricity retail platform.
Raised roughly $1M (closed August 2021) to build out the virtual power plant and blockchain REC infrastructure.
Settled on a clear focus: AI-powered energy management for multi-site retail and food-service chains via the AI-EDC.
Secured rare control-layer access to Tesla Energy storage through the FamilyMart deployment in Taiwan.
Achieved breakeven while scaling the FamilyMart Powerwall rollout toward 1,000 stores.
Preparing a $5M Pre-A round, entering the US via VPP integrations, and standing up a Japan subsidiary; targeting 3,000+ stores and 120 MW managed capacity.
The interesting problem for KiWi now is geographic. It has proven the model in Taiwan, where the grid is compact, the retail chains are dense, and a single AI can meaningfully coordinate thousands of small sites. The question every Taiwanese hardware-adjacent startup eventually faces is whether the thing that worked at home survives the trip abroad, and KiWi's answer is deliberately unglamorous: don't rebuild, integrate.
In the United States, rather than assembling a retail footprint from scratch - which would mean years of licensing, customer acquisition, and grid paperwork - KiWi plans to plug its dispatch intelligence into existing virtual power plant operators and aggregators. The pitch to American utilities leans on a word that keeps them up at night: curtailment, the clean energy that gets generated and then thrown away because the grid cannot absorb it at that moment. KiWi's argument is that optimization software can recover some of that waste without anyone pouring more concrete. It is a claim that will have to be proven, but it is at least the right claim to be making.
There is also a supply-chain bet embedded in the expansion. As TSMC builds out its Phoenix, Arizona facility, the Taiwanese suppliers that follow it will carry the same RE100 and carbon-reporting pressures they face at home. KiWi is positioning itself for that emerging residential and commercial ecosystem - a market that essentially gets created by regulation and customer mandates rather than by consumer demand, which is a comfortable place for a company that sells compliance-as-a-service to sit.
Japan is further along: KiWi has established a local subsidiary and run a proof-of-concept with a major convenience store chain, with a formal announcement expected in the second half of 2026. Convenience stores, it turns out, are close to an ideal customer - many identical small sites, predictable load shapes, and corporate parents who report their emissions. If you were designing a customer from scratch for an aggregation-and-dispatch business, you would probably design a konbini.
None of this is guaranteed. The $5M Pre-A round is a modest sum for a global ambition, the competitive set - traditional retailers, VPP platforms, grid-edge software vendors - is crowded, and control-layer trust with a partner like Tesla is not a contract you can copy-paste into a new market. But KiWi has already done the hardest thing a climate software company can do, which is reach breakeven, and it has done it by being clear-eyed about which layer of the stack it actually wants to own. In an industry that loves to talk in gigawatts, that clarity is worth something.
KiWi does not maintain a public YouTube channel, so these are the on-the-record features and founder writing worth your time.
Profile compiled from public sources. Figures marked "approximate" or "target" are company-reported and may change. Last reviewed July 2026.