$ For Investors
FileYield is the brokerage layer on top of the $8.6B AI training data market. AI-assisted appraisal, a transactional marketplace, and a developer API — wrapped in a design competitors can't replicate.
Mission
Every company sitting on valuable data should be able to sell it. Every AI lab should be able to find it. FileYield is the brokerage between them — AI-assisted discovery, transparent valuations, frictionless deals.
Founder
Tech Growth Entrepreneur
Four days ago, this didn't exist. Then Saturday happened — coffee, an idea about where AI training data was going, and a laptop. By Tuesday there was a marketplace, a dashboard, an AI backend, and a knowledge graph. Allen builds this way because it's the only way he knows how: fast, opinionated, and in public.
Ships at hyperspeed
Four-day MVP. No team, no funding, no playbook. Speed isn't a tactic — it's a compounding advantage that makes normal timelines look broken.
Designs like a creative director
Brutalist Hover Pop isn't an accident. Every hover, gradient, and glitch is intentional. Competitors ship AWS-console UX. FileYield doesn't.
Thinks in distribution
Built the outbound infrastructure before the product. 50 warm domains. A compounding contact database. Day-one product, day-one distribution.
Owns the full stack
Supabase, Next.js, AI SDK, Claude, RLS, realtime — all wired together by one person who actually understands each layer. Every decision lands in the code the same day.
Builds for the love of it
Not because there's a spec. Not because someone asked. Because the idea wouldn't leave him alone — and the only way to know if it works is to make it real.
Sees around corners
Spotted the brokered-marketplace gap before anyone else planted a flag. Every insight on this page started as a hunch that refused to go away.
Builds first. Talks later. Has never shipped a product he didn't design, code, and distribute himself.
Insights
The AI training data market has no dominant broker. Scale AI and Appen run labor-intensive labeling shops. AWS Data Exchange has 3,500+ products behind an enterprise console. Datarade is a passive directory. No one specializes in unlocking dark data from mid-sized hospitals, law firms, and insurance companies. The throne is empty. We're walking up to it.
Epoch AI projects the supply of high-quality human-generated public text for AI training will be exhausted between 2026 and 2028. That forces every AI lab to pivot toward private, proprietary data — exactly what FileYield brokers. The scarcity crisis is the tailwind.
$816.7M was paid to publishers for content licensing in 2024 alone, with $2.92B committed across multi-year deals. News Corp took $250M+ from OpenAI. Average deal: $24M. Every dollar went to mega-publishers with direct relationships. The long tail has zero leverage and zero distribution.
"I have 14 years of hospital billing records" doesn't translate to a price. An AI that crawls the data, tells them what they have, and estimates value removes the only thing stopping them from selling.
Index Snowflake + AWS + Databricks + native listings and you become the search layer. Buyers stop going to five platforms. Sellers list where the buyers already are. The position is defensible the moment it exists.
Our Bets
The Problem
Sellers
Buyers
The Solution
01
Sellers describe what they have in plain language. AI estimates value, identifies category, matches to active buyers.
02
Public listings, auth-gated deal rooms, 30 categories, 313 groups, 2,566 subtypes. Anonymous until both sides agree to reveal.
03
NDA flow, offer management, counter-offers, Flippa-style deal rooms. Commission is transparent to both sides.
04
REST endpoints for listings, requests, keys. Tiered rate limits. API revenue from day one.
05
50 sending domains, 150+ warm accounts, compounding contact database. Sellers buy awareness packages. Replies land in the inbox.
06
Every deal, message, and negotiation is training data. Valuations get sharper with every transaction.
The Vision
Competitors hand sellers off at the door. FileYield owns the full journey — from the first appraisal to the wire transfer. Hosted on our own infrastructure. Compliant by default. Inspected without ever leaving our walls.
01
Sellers upload data directly to FileYield-hosted storage. Encrypted at rest, keyed per tenant, geo-redundant. Buyers never touch the seller's infrastructure. Sellers never touch the buyer's. We are the neutral ground.
02
Automated PII detection and redaction. HIPAA, GDPR, CCPA handling. Audit trails on every access. A dataset goes in raw and comes out sale-ready — no legal team required.
03
Buyers query the data inside a sandboxed read-only environment. Schema. Row counts. Sample rows. Distribution stats. AI-powered Q&A against the dataset. They see enough to buy. They can't walk out with anything.
04
Once a deal closes, we provision access the buyer's way — S3 bucket, Snowflake share, API endpoint, direct download. One integration. Every format. Every destination.
05
Raw PDFs, dirty CSVs, unstructured exports — upload anything. Our pipeline structures it, enriches it, lists it. Sellers earn more. Buyers get cleaner data. We take margin on the work.
06
Every dataset hosted, every deal closed, every query run feeds the valuation model, the matching engine, and the compliance library. The longer FileYield runs, the harder it is to catch.
Initial Go-to-Market
Hospital systems. Insurance companies. Legal firms. Research institutions. 5–15 years of proprietary data, no path to monetize it.
50 sending domains, 150+ warm accounts, proprietary contact DB. 500–1,000 seller prospects in the first 90 days.
They describe their data. We estimate value. They list. We broker the deal.
Average mid-market deal: $50K–$100K. 14% commission = $7K–$70K in first-quarter revenue.
Every deal enriches the contact DB, the valuation model, and the marketplace signal. The curve bends up.
Competition
Comparables
Read the list honestly: no horizontal data marketplace has ever scaled. Datarade stalled at seed. Narrative stalled at Series A. Dawex raised ~$13M over a decade. The one real comp — Truveta — hit $1B by going vertical in healthcare. The brokered horizontal marketplace is an unclaimed position. At 0.1% of the $8.6B 2030 market → $8.6M ARR. At 10% share → $860M ARR, $8.6B–$17.2B valuation at standard AI multiples.
Unfair Advantage
01
Full platform shipped in 36 hours. Marketplace + messaging + deals in 24. Most founders take 12 months.
02
50 domains. 150+ warm accounts. Contact database. Other founders need 6–12 months. We flip a switch.
03
Most founders pick one. Allen runs both and ships daily.
04
Brutalist Hover Pop isn't an accident. Competitors ship AWS-console aesthetic. We don't.
05
Claude is wired into appraisal, discovery, the sidebar, and data inspection. Competitors bolt it on.
06
Zero cap table drag. Can pivot, partner, or take revenue as it comes.
Big Picture
Own the transaction layer for mid-market data. 100–500 active listings. $2–5M ARR from commission.
Index Snowflake, AWS Data Exchange, Databricks. FileYield becomes the search layer. Buyers stop going anywhere else.
Vault storage. Data processing. Compliance-as-a-service. Enterprise connectors. API tier. Recurring revenue everywhere.
$100M+ valuation. Strategic acquisition candidate for Databricks, Snowflake, or AWS. Or go public.
Already Built
Every link below is live. No mockups. No dead buttons. An AI backend that appraises datasets and drafts listings for the seller. A marketplace that's nearly ready for users. A taxonomy deep enough to index the long tail of data. Built in the last few days — still shipping daily.
1,125
Data subtypes
172
Specialized groups
20
Categories
64
Live pages
27
API endpoints
14
DB tables (RLS)
4 days
Since zero
Daily
Ship cadence
Live data terminal, magnetic headline, AI buyer logos, cursor spotlight, brutalist animations.
/Real listings, search, filters, auth-gated deal rooms. Nearly ready for users.
/marketplaceConversational AI brain that valuates any dataset. Crawls, classifies, prices, and posts listings for the seller.
/appraisalBuyer + seller. Persistent AI sidebar, real-time messaging, offers, deal rooms, agreements. The full app.
/dashboardREST endpoints so AI agents and third parties list, buy, and interact programmatically. Tiered rate limits, API keys, request logging.
/developers1,125 data subtypes across 172 groups and 20 categories. Every taxonomy node has its own page. Long-tail SEO foundation, ready to fill in.
/data-typesFull flow for both sides. Agreement signing, NDA gates, commission transparency, FAQ.
/how-it-worksBrutalist Hover Pop — every animation, component, and rule documented and live.
/brandTimestamp
10:49am. Everything above was built in the days since. One person. One laptop. No team. No funding. The runway is already here.
The FileYield Times