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Pricing Built for
Builders Who Lead With Clarity

OpenPredict pricing is tailored to your business size, data environment, and growth goals. Submit a short request and we’ll scope the right path forward.

Tailored Pricing for Every Builder’s Journey

Every builder operates differently. OpenPredict pricing is tailored to your business size, technology readiness, and growth goals, so you get an intelligence system that fits how your team actually makes decisions.

You get your own AI instance, trained on your business, designed to surface early shifts, explain what’s driving them, and guide the right action.

Who This Is For?

OpenPredict is designed for builders who are data-informed, technology-driven, and ready
to operate
with earlier clarity, faster action, and tighter alignment across teams.

Leaders who want confidence in pricing decisions

Teams who need clearer performance drivers, not more dashboards

Organizations ready to act on signals, not lagging results

Request Pricing

Frequently Asked Questions

What does OpenHouse.ai do?

OpenHouse.ai is a monthly decision system for homebuilders. It compares your performance to the market (pace, margin, price), forecasts where you’re headed over the next 90 days (including WIP risk), and translates the drivers into clear areas of focus so teams know what to do next.

Dashboards summarize what has already happened. OpenHouse.ai adds market context (how you compare) and a forward-looking outlook, along with driver diagnosis—so leaders can act with confidence instead of debating symptoms.

“The market” is your competitive context in your region—your segment and price-band environment and how performance is moving around you. OpenHouse.ai uses that context to benchmark your pace, margin, and price relative to what’s happening in-market.

It’s a forward-looking view of where pace, margin, and WIP risk are trending over the next ~90 days, based on current signals and historical performance patterns—so you can make trade-offs earlier with clearer context.

Drivers are the factors moving outcomes up or down (for example: price positioning, traffic quality, product/availability, and execution). Areas of focus are the specific priorities OpenHouse.ai surfaces so Marketing, Sales, and Operations align on the same first move.

A monthly readout by the community that typically includes:

  • an executive summary and key insights (context vs goals)
  • market comparison and competitive position
  • recommended actions (including pricing guidance where relevant)
  • supporting evidence (e.g., pricing analysis and response curve)
  • a monthly review touchpoint to align on actions and adjustments

Where applicable, yes. OpenHouse.ai provides pricing recommendations by community, supported by market context and a response curve that connects price levels to expected near-term sales response.

Division Presidents and executive leaders use it to stay on plan and make trade-offs early. Sales, Marketing, and Operations use it to align on what to change first—by community—so execution is coordinated.

Typically: historical sales and inventory/WIP data by community, pricing/incentives history, and key demand/traffic signals (often from your CRM and web analytics). Exact requirements depend on your systems, but the goal is read-only access and a lightweight setup.

Once data access is in place, OpenHouse.ai configures your market context and baseline, then delivers your first readout. From there, you’ll have one monthly review meeting to align on insights, actions, and any scoped adjustments.

OpenHouse.ai is the platform and monthly decision system. If you need help solving a specific high-value problem beyond the standard deliverable, we can support that separately.

Yes—if you need it. Scope is flexible: some teams start with a limited region or set of communities, and others roll out broadly from day one.