Tools that do one thing.
Incredibly well.
Property analytics. Due diligence. Investment intelligence.
Built by people who've made the same decisions you make.
What We Build
Property Management Analytics
See pricing signals before your competitors do
For STR operators and multi-family managers: competitor pricing, occupancy patterns, and booking trends — surfaced automatically so you can act on them.
The spreadsheet gave you numbers. This gives you an edge.
- Monitor competitor rates across platforms daily
- Spot cyclicality and seasonal trends early
- Adjust pricing before the market moves
- Historical data that reveals what others miss
Due Diligence Automation
Every deal analyzed the same way — the right way
For real estate and private credit investors: upload a rent roll or offering doc. Get lease exposure, vacancy risk, NOI, DSCR, IRR — and a Go / No-Go recommendation.
The same discipline applied to every deal. No missed metrics. No inconsistent frameworks.
- 40+ investment metrics from a single document
- Consistent analysis across your entire pipeline
- Risk scoring and sensitivity analysis built in
- The judgment calls we'd make — encoded in the tool
Custom Intelligence Tools
Your decision process, systematized
You have a process that works — it just takes too long and depends on too many manual steps. We encode your expertise into a tool that does it the same way you would, consistently, every time.
- Map your actual decision process — not a generic one
- Encode the judgment calls and edge cases
- Iterate until the output is trustworthy
- Scale it as your portfolio grows
How We Work Together
Every step involves your input. Because tools built in isolation rarely work in reality.
Listen & Understand
We start by understanding where your time actually goes.
Design Together
Map out a solution that addresses your specific needs.
Build & Show
Create the tool incrementally. Show you progress regularly.
Test & Refine
You use it. We refine it based on real-world feedback.
Deploy & Support
Launch with ongoing support and improvements.
In Production
One example of what this looks like in practice.
YieldIQ
Every Sunday, she copied competitor rates from Airbnb and Booking.com into a spreadsheet. Fifteen competitors. Four hours. By the time she was done, the data was already stale.
Now YieldIQ monitors those rates continuously. She sees when a competitor drops prices on Tuesday morning — and adjusts before anyone else notices.
The spreadsheet took 4 hours and gave her numbers. YieldIQ takes 12 minutes and gives her an edge.
Live beta: yieldiq.tech
4 hours → 12 minutes per week