AI Labs . Lat

• Local services are slow to source — calls, messages, no responses
• Prices vary widely with little transparency
• Suppliers have idle capacity but no demand visibility
• Existing marketplaces rely on fixed listings and inbound discovery

A demand-first marketplace:

• Buyers post a job — scope, location, timing
• Nearby suppliers receive instant alerts
• Suppliers bid in real time — price, ETA, conditions
• Buyer selects and pays

Category: Home services — plumbing, electrical, repairs
Geography: Single city (launch in one urban area)

Why this works:

• High urgency — same-day needs
• High price dispersion
• Fragmented, under-digitized supply
• Suppliers motivated to fill idle time

1. Post request — under 60 seconds
2. Receive first bid in minutes
3. Compare 3–5 offers
4. Select supplier
5. Pay + track fulfillment

• Smartphones + push notifications enable instant supplier response
• Messaging behavior normalizes rapid real-time interaction
• No dominant player in LATAM for real-time bidding in local services

• 5–10% take rate per completed job
• Supplier boosts — priority alerts and visibility
• Future: subscription for high-frequency suppliers

Not required for product-market fit. Potential later uses:

• Supplier staking to access premium leads
• Fee discounts for token holders
• Reputation weighting

Focus: validate marketplace first.

• Entry: local services — large, fragmented, offline-heavy
• Expansion: additional service categories → logistics → B2B jobs

Indirect

• Listing-based marketplaces — fixed price, slow response
• Social groups and classifieds — unstructured

Direct — open reverse auction at consumer level in LATAM

• None identified

Enterprise tools

• Closed procurement systems — not comparable

• Working prototype — demo available
• Initial supplier pipeline identified
• Pilot city selected

• 0 – 3 months First transactions, validate bid density
• 3 – 6 months Repeat usage, improve response time
• 6 – 12 months Expand categories and geography

• Founder / CEO — 40+ years in IT
• CTO — 15+ years engineering

Concrete execution proof: systems built, operations, scale — available on request.

• Low liquidity: focus single category + city until density is proven
• Slow bids: supplier incentives and push notifications
• Quality control: ratings system + repeat selection signals
• Spam bids: bid limits and reputation scoring — token-based if needed later

$250,000

Pre-seed round