Limited-drop sellers, creators, and brands
The first customer group is teams selling fandom, IP, collectible, and limited-drop products where pre-launch demand is hard to observe.
A · B2C
Paid demand and allocation intelligence
Launch teams need pricing and inventory answers before demand is visible, but willingness-to-pay is sensitive. This 2026 Coming Soon service sells the decision output without exposing raw responses.
A · B2C
What the buyer pays for
The buyer does not need raw survey data; they need a launch decision. The core output is expected demand, acceptable price range, launch quantity, and inventory risk.
Demand, pricing, and allocation report
Expected demand, willingness-to-pay, recommended price range, launch quantity, and inventory risk are packaged into one seller-facing decision report.
Keep respondents private, sell the result
Individual responses and purchase intent stay private while the seller receives aggregated outputs and decision signals they can act on.
A · B2C · Direction
When the buyer becomes an agent
Consumers are starting to let AI agents reserve, pay, and request refunds on their behalf instead of choosing manually. The core stays the same — keep sensitive values such as willingness-to-pay private and expose only the needed decision. The following is the long-term direction of this track, not a shipping product.
Agents that reserve and pay for you
For limited-drop or small-batch sales where price and quantity are not fixed in advance, a user's agent can submit a target price and quantity on their behalf and commit only when the conditions match.
Same principle as the B2B Agent Gate
Keeping sensitive values such as willingness-to-pay and budget private while leaving only the decision is the same principle as the B2B FHE16 Agent Gate. The same execution boundary can apply to consumer-side agent transactions.