We build physical and digital products where AI is the point, not the pitch. Hardware, software, and the strategies behind them — across the things people actually use.
Most venture studios talk about one way of working. We run three in parallel, because different ideas need different shapes of company to ship. Sometimes we build alone. Sometimes we co-build. Sometimes we hand the whole operating stack to a founder.
How the studio model works →We originate the concept, take it through prototype, and launch as a FiduVentures venture. Our IP, our team, our balance sheet. We keep going until the product can stand on its own.
Read more →We co-build with external founders who have the domain knowledge we don't. We contribute capital, product engineering, sourcing, and the operational scaffolding. They keep the long-term vision.
Read more →We act as the operating backbone for founders who would rather build the product than run the company. Legal, finance, supplier relationships, hiring — handled in-house so they can stay heads-down.
Read more →The studio runs a four-phase loop. Most ideas die in phase two. That's not failure — it's the system working. We commit capital only after a venture has earned its way through prototype and pilot.
A working thesis, a target user, a real problem. We test ideas with buyers and operators before we write a line of code or place a tooling order.
First physical or working-software version. We work with a short list of manufacturing partners we already trust, mostly across Greater China.
A small production run. Real customers, real usage, real feedback. This is where most ventures either graduate to scale or get cut.
Selective distribution, depending on the product. We pick the channel that matches the venture — DTC, retail, B2B, marketplace, or licensing.
Across sectors, stages, and shapes. Some are pilot-phase products in classroom deployment. Others are still rough prototypes on an engineer's desk. All of them are answering a real question from a real user.
See full portfolio →An adaptive learning companion that gives every student one-on-one attention at classroom scale.
A connected wellness wearable that learns the user's patterns and surfaces what matters.
Infrastructure for systematic strategies. The boring plumbing that makes quant work.
An AI-powered smart home hub that respects privacy while still being useful.
Modular AI tooling that creators can compose without writing a single line of code.
Movement-tracking hardware that turns any space into an intelligent training environment.
We don't pick sectors because they're hot. We pick them because we have conviction in how AI is reshaping them — and where the next decade of products will be built.
Read sector theses →Consumer and prosumer tools where AI does the heavy lifting in the background. Voice, vision, productivity, creative.
Adaptive K-12 tutoring, teacher aids, and safer screens for kids and toddlers. Primary focus on North America and Europe.
Physical devices with embedded intelligence. Sensors, edge AI, and the supply chain to ship them at scale.
Wearables, sleep, mental health, longevity. Hardware that learns and adapts to the user over time.
Consumer products for the home, kitchen, and the everyday. We ship things that solve a small problem well.
Systematic strategies, market infrastructure, and the data pipelines that make quant work.
A standing record of how we think. Mostly field notes from inside the studio — the bets that worked, the ones that didn't, and the supplier conversations that taught us something.
All insights →The next decade of AI products won't be chat windows. They'll be embedded in things you hold, wear, and live with. Here's what we're seeing in the supplier network.
Three years of supplier conversations distilled into the questions we now ask before we sign anything. Most of them aren't technical.
A walkthrough of what we actually do in a typical week, from concept testing on Monday to supplier QA on Friday.
We work with founders, suppliers, and partner funds across Asia, Europe, and North America. The fastest way in is a short note about what you're working on.