a
digital engine for master-planned communities
Pipsy is an AI-powered digital assistant that automates your communities lot inventory, sales reporting, analytics, and day-to-day operations.
Pick your view: high-resolution drone imagery overlaid on your map, or a fully built 3D community buyers can fly through. The days of settling for clipart maps are over.
Lose the note cards and Excel sheets. Pipsy allows your builders' salespeople to enter all of their sale, cancel and closing data in real time through their own personal portal. And because Pipsy utilizes one set of inventory data, your lot information can update all of your digital assets automatically.


Pipsy takes full control over your project's lot inventory and becomes the single source of truth for all of your inventory statuses. Lookup full lot details and sales history with one unified interface for quick and easy management.

A complete ARC suite covering builder submissions, anti-monotony repetition mapping, color and material management, conditional approvals, lot fee tracking, and a full field compliance program with mobile drive mode and PDF inspection reports.
Lot contracts, takedown schedules, builder-mode takedown requests, contract instructions, lot fees, lot pooling, cash flow projections, and automatic closing document generation — all under one roof and tightly integrated with everything else Pipsy does.
Closing Instruction
GF# 2026-1421
Lot 142 · Section 3 · Davidson Homes
Closing May 15, 2026
Pricing
Credits & Pro-rations
Lot Fees
First Lien Release · Bank of Texas
Closing Costs

Gain valuable insights into your buyers and current inventory opportunities with a vast array of reporting options.

A comprehensive suite of AI tooling that takes the day-to-day off your team's plate. Pipsy's MCP server connects your data to whatever AI client you use — Claude, ChatGPT, Cursor, your own agents — so anyone can ask anything from a laptop or phone and get an instant answer. Construction analysis AI watches drone aerials and builder feeds continuously to keep every lot's status current. Auto-generated weekly briefings synthesize sales, gapout, concerning discoveries, marketing, and market dynamics for the C-suite. And we're always shipping more.
“Which of our builders are at risk of missing their next takedown given current sales velocity, and by how much?”
thinking…
→ query_lot_contracts(window: 90d)
→ query_sales(group_by: builder, lot_type)
→ projecting velocity vs. contracted closings…
→ flagging variance > 15%
3 of 14 builders at risk:
· Davidson Homes — short 4 by Aug 30
· Newton Homes — short 7 by Sep 12
· Stepan Homes — short 2 by Sep 30
New TraceAir aerial received — 412 lots scanned
scanning Lot 247…
→ comparing today’s overhead to last week’s
→ vertical lumber detected, slab visible 7d ago
→ last recorded status: ‘Slab Poured’
→ confidence: 94%
→ I believe Lot 247 is being framed. Applying framing date.
+ 6 other lots advanced status this scan
Weekly AI Briefing
Dubay Pines · Apr 30
Sales. Net +18% vs. 4-wk avg. Cancels stable at 6.2%.
Gapout. 50’ lots project sellout by Aug 22. Section 4 needs prioritization.
Concerning. 45’ lot type gapping out faster than projected — burn rate up 30% over 6 weeks. Pull next phase forward.
Market. Resale comps +4.2% MoM in surrounding ZIPs. Pricing power available.

Pipsy comes with a myriad of completely customizable prospect tools out of the box that can be flipped on in under an hour.



Pipsy is SOC 2 Type 2 compliant. Anyone storing your community's data — or your buyers' — should be able to show you the same.
Developers are not a 'one size fits all' business. Because all communities operate slightly differently, Pipsy was built in a modular format to accommodate your projects unique needs and style. Customization is baked into the foundation.
How does zero sound? Pipsy comes with zero dollar setup and transfer fees away from existing systems. Zero, zilch, nada. And with no contracts, there's no risk on behalf of the developer.
The estimated time to get your install setup is roughly 2 weeks from receiving your data.