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/Index/OpenHouse.ai/OpenHouse.ai
O

OpenHouse.ai

OPENHOUSE.AIManage supplier listing

Community-level new-home demand, pricing-power and sales-velocity panel for homebuilders. The platform sits above a builder's own systems and ingests fragmented operational data — a documented sync API exposes the exact schema: communities, home models (bedrooms, bathrooms, floor size, home type, price, per-community pricing overrides) and inventory including spec homes, quick possessions and model homes with addresses, possession dates and assigned sales teams. On top of that it detects early changes in traffic, buyer behaviour, sales velocity, pricing pressure and community performance, diagnoses the driver, and prescribes a next action. The resulting asset is a weekly, community-by-community view of where new-home demand is softening, where pricing power is holding or weakening, and which incentives are genuinely working versus masking a deeper problem — granularity that public homebuilder disclosure reports only quarterly at company level.

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OpenHouse.ai/OpenHouse.ai
SampleCoverage

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Coverage

Universe, instruments and categories.

Industry
Data Processing & Outsourced ServicesHomebuilders
Instruments
equities
Categories
Alternative
Price
Supply Chain
Sentiment
Regions
US
Sample tickers
LENDHIPHMKBHNVRMTHTMHCVCOWFII
Dataset card
Type
not stated
Format
Tabular — structured JSON records synced nightly from builder systems (communities, home models, inventories, showhomes with price, floor size, possession date and sales-team assignment), plus derived signal and diagnostic layers; delivered through dashboards and alerting with a documented REST sync interface. No public outbound data feed.
Volume
for each builder deployment, the full synced catalogue of communities, home models and inventory line items — so per community typically dozens of models and hundreds of priced inventory records with possession dates, refreshed nightly; a single 50-community deployment therefore holds est. low tens of thousands of priced listing records with nightly versioning, and the panel's value grows per builder added rather than per user.
Users
est. a small number of builder enterprise accounts, plausibly a handful to a few dozen divisions (inferred from a published tier that covers up to 50 communities per deployment with dedicated hand-holding support, and a services-heavy, data-science-led onboarding motion that precludes high-volume self-serve acquisition); community count under management is not published.
History
2 years
Update frequency
not stated
Growth
Active and early — a current live product page emphasising a detect-diagnose-prescribe engine, an API already documented for builder integration, and positioning that leans on recent advances in applied AI and data science. No expansion milestones or customer-count disclosure, consistent with an early commercial stage.
Launched
est. 2024-2026 — no launch date is published on the site or docs; the product's framing as an applied-AI decision engine, its API-first builder-sync architecture and the absence of any customer-count or expansion history all point to a recent launch rather than an established incumbent.
Delivery
not stated
Entity mapping
not stated
Sample
not stated
Point-in-time
not stated
Licence
not stated

supplier index read from their site

OpenHouse.ai has not added their own details yet. Not yet on file:

  • Dataset
  • Data dictionary
  • Coverage
  • Provenance
  • Rights & data handling