Beyond SaaS transaction and usage data, MON$TER is now actively building buyer-matched licensing deals in six additional verticals — anonymized, aggregated, no PII, structured to pay recurring rather than one-time, through Xferdata's qualified buyer network.
Scooters, delivery fleets, industrial sensors, vehicles — real-world physical-operations data that robotics and AI buyers pay a premium for because it's scarce.
Customer support chat/call logs — de-identified — feed directly into agentic and voice-AI training pipelines. High, recurring demand.
Structured claims and underwriting data, anonymized — a high-value, high-structure dataset comparable to healthcare but far less shopped around today.
Meta/Google Ads spend-to-conversion and attribution data — valuable to AI buyers for training and to aggregators for benchmarking.
Listing, showing and transaction-flow data from brokerages and platforms — an underserved vertical for institutional buyers.
Anonymized foot-traffic, reservation and visit-pattern data — recurring, aggregatable, the same shape buyers already like in POS/loyalty data.
Most companies approached about their data only ever hear the one-time number. There's a bigger, steadier path most never get shown.
Your internal history — code, playbooks, customer conversations, operational archives — sold once, exclusively, to a single buyer for frontier-model training. Typically $50K–$1M. Once it's gone, a competitor (or an AI trained on it) may now have what made you competitive.
Transaction, usage and customer-activity exhaust — anonymized, aggregated, no PII — licensed non-exclusively to multiple buyers on renewing terms. Often $300K–$3M a year, and it typically grows as your business grows instead of shrinking.
Even two or three non-exclusive recurring buyers can outearn one exclusive one-time sale within a few years — without handing a single buyer your full operational playbook. MON$TER defaults to structuring recurring deals wherever a buyer will support it.
Tell us about your business and what data you generate. We screen fit against live buyer demand — no dataset upload required to start.
If there's a real opportunity, we help you prepare a compliant sample and package — anonymized, aggregated, rights-protected, reviewed by you at every step.
Your data goes to a private auction inside Xferdata's buyer network — hundreds of qualified institutional and AI buyers. You choose the terms. Payment is structured to recur.
Fleet/mobility operators, IoT and sensor networks, support/BPO centers, insurers, ad agencies and platforms, real-estate brokerages, and retail/restaurant chains with real operating history and product-generated data.
Brand-new companies with no operating history, or businesses whose only asset is a customer contact list rather than data generated by the product or operation itself.
Every dataset is anonymized and aggregated before it ever reaches a buyer — no PII, no exceptions. That discipline is why the largest data buyers work with MON$TER at all.
Free first-pass screening. No dataset upload. Just your company website.
Company website + phone only. We'll text or call with your assessment. Not a formal valuation — a first-pass screening to see if it's worth going further.