Better Data for Brands.
Real Monetization for People.
People generate value online — but give it away for free. Upshard lets anyone create a personal AI — shaped by their data, owned by them, and usable by the world. Companies get instant insights. People get paid.
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Upshard lets anyone create a personal AI — trained by their data, owned by them, and usable by brands, local businesses, creators, or anyone who needs real insight. Whenever it’s used, the owner gets paid. Automatically.
The more it knows, the more it’s worth.
Connect apps, answer prompts, share your day — and train an AI that reflects you.
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Private by default.
Public if you want.
Your Shard can stay anonymous, contributing to global insights through group data. Or go public — letting others interact with your AI twin, like clients, fans, or followers. You’re in control.
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Connected to Everyone. Owned by You.
From global brands to local shops, anyone can interact with your Shard — anonymously and on your terms.
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Let your Data work for you.
Earn passively as your Shard helps brands, creators, and businesses make better decisions.
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Test anything. Instantly.
Target exactly who you want, get real-time insights, and test anything — from ideas to campaigns — at lower cost and without the wait.
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Ways it could be used.
From startups to shops to creators, here are just a few ways Upshard could be used to test ideas, understand people, and make better decisions — without guessing.
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Netflix is preparing to launch “Squid Game: America” and wants to test three potential posters. Using Upshard, they target 20,000 Shards in US — aged 16–35 — to see which design resonates most before the global release. The result: higher click-throughs, better campaign ROI, and zero guesswork.
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A local pizza shop wants to add a new item. The best they can do? An Instagram poll — seen by a handful, answered by even fewer. Instead, they launch a real survey targeting people within 15km. In seconds, they get hundreds of clear, local responses. No guessing. Just data that sells.
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Choosing the right professional usually means guessing — scrolling Google, comparing bios, hoping they “feel right.” Here, a potential client talks to a psychologist’s Shard. It sounds and feels just like her — shaped over time to reflect her real tone and approach. For her, it’s fully passive. For them, it’s clarity before commitment.
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Two founders have an idea for a productivity app — but first, they need to know if people actually feel the problem they want to solve. Posting in forums or groups might get a few vague replies. But in 2025, people want fast, frictionless interaction — no one waits around to fill a survey. Here, they upload a short pitch and get clear reactions from 500 target Shards. Real validation. No guessing. No noise.
Business Model
The smartest way for companies to learn.
Upshard is a two-sided platform: individuals earn passively by training and sharing their AI (Shard), while brands and professionals use those Shards to run tests, collect insights, or simulate behavior — at scale.
more Shards → more data → more demand → more revenue.
This creates a flywheel: as the system grows, so does its precision, value, and defensibility.
• Shared inference APIs (e.g. GPT-4-turbo, Claude)
• Efficient memory storage (vector DBs, structured user data)
• Event-driven interactions, not continuous generation
• $0.01–$0.05 (low–medium usage)
• Scales efficiently thanks to caching, batching, and lightweight architecture
Shards are stateless until used. They respond on demand, using their structured profile to interact via shared models. They are:
• Cheaper than running model instances
• Lighter than fine-tuned agents
• Smarter than static survey tools
Example: One interaction
• A brand pays $0.20 to run a quick poll or preference test on a Shard.
• The LLM call costs ~0.005–0.01$
• The user receives ~$0.12–$0.15
• Upshard takes ~$0.05–$0.07 margin
Even at small scale, margins are solid. At large scale, they compound — with no need to maintain a model per user. And since each user has only one Shard, they’re incentivized to keep it consistent and valuable. Fake input? Bad logic? The system learns and adapts — devaluing inconsistent Shards over time.
insights & testing
Why now.
AI is everywhere — but still generic. Data is valuable — but still owned by platforms. Upshard turns this imbalance into a new kind of opportunity.
What’s out there today? Not this.
There are products that touch parts of what we do — but nothing that puts it all together into a working, monetizable system. Here’s what people might turn to today:
They’re fun to talk to — but they don’t work for you. They’re closed systems, made for entertainment, not utility. You don’t own them, can’t evolve them freely, and you certainly don’t earn from them.
They promise user-owned data — but the model is unclear, adoption is weak, and incentives are buried behind blockchain layers. No intelligence, no interface, no traction.
They pay users to answer questions — manually, one by one.No automation, no AI, no continuity. It’s a job, not a system. Brands get data, but slow and expensive. Users burn out.
Feauture
Upshard
Surveys
AI Twins
