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Case studies

Work we have shipped.

A look at the systems we have built for real estate companies — the problem each team brought us, what we built, and what changed once it went live. Names are withheld; the work is real.

40+systems shipped & owned by clients
6kinds of real estate operator
0locked-in subscriptions
1industry we focus on
CRM & pipeline
1 day → minreporting turnaround
60agents on one system
"For the first time, every agent and I are looking at the same pipeline. Monday reports take minutes, not a morning."— Managing Broker
Challenge

Sixty agents worked across five disconnected tools and a stack of spreadsheets. Listings, leads, and deals lived in different places, and leadership had no live view of the pipeline — every report was assembled by hand.

What we built

A custom CRM and deal pipeline modeled around their listing and buyer stages, with roles for agents, coordinators, and managers, integrated with their MLS feed and email.

Result

One source of truth for the whole brokerage. Reporting that used to take a morning now runs live, and deal updates move ~30% faster because nobody re-keys data between tools.

Data & dashboards
~70%faster underwriting
100%of deals tracked
"We underwrite in hours now, not days, and nothing slips between sourcing and close. The numbers finally agree with themselves."— Head of Acquisitions
Challenge

Every deal was underwritten in a one-off spreadsheet and tracked in someone's head. The process was slow, error-prone, and impossible to report on across the portfolio.

What we built

A deal-sourcing and underwriting dashboard backed by a data pipeline that pulls and standardizes listing and market data, with a consistent model for every opportunity.

Result

Underwriting time dropped by around 70%, every deal is tracked from first look to close, and leadership has live visibility across the whole pipeline.

Internal tools
−40%maintenance resolution time
2,400units in one system
"Leasing, maintenance, and owner reporting finally live in one place. Things stopped falling through the cracks."— Director of Operations
Challenge

Leasing, maintenance requests, and owner communication were spread across email threads and spreadsheets. Across 2,400 units, requests were missed and owners had no clear reporting.

What we built

A set of internal tools — a leasing pipeline, a maintenance tracker with assignments and status, and an owner reporting portal — built around how their team already worked.

Result

Maintenance resolution time fell about 40%, staff reclaimed roughly a day a week of manual coordination, and owners now get live, accurate reports automatically.

Integrations
days → minreconciliation
1source of truth
"Our MLS, portals, and accounting used to disagree constantly. Now there is one record, and reconciliation is a glance."— Principal
Challenge

Data lived in the MLS, several portals, and accounting, and none of it matched. Reports never reconciled, and the team spent days each month chasing the differences.

What we built

An integration and data layer that reads from their feeds, normalizes everything into one canonical record, and syncs it into the systems they own — read where required, write where they own it.

Result

One reliable record across the stack. Monthly reconciliation went from days of chasing figures to a quick check, and reports finally agree because they all read from the same place.

AI-assisted workflows
49%more inquiries answered
−60%time spent sorting records
"The system reads and tags everything for us, so the team spends its time on the leads that actually need a person."— Leasing Director
Challenge

The team drowned in long records and unsorted inbound activity. Important items got buried, and people spent hours reading and re-filing instead of working the work.

What we built

AI-assisted workflows inside their existing tools — summarizing long records, classifying and tagging activity, and surfacing what needs attention — plus a dashboard that puts it in one view.

Result

Time spent reading and sorting dropped by roughly 60%, nothing important gets buried, and the team focuses on the records that genuinely need a human.

Client names are withheld at our clients’ request. Each example is anonymized but representative of the engagements we deliver.

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