REWS.AI · Real estate portfolio optimization, powered by AI
Portfolio planning in minutes, not months
AI agents gather and analyze data used by the engine to run optimization scenarios.
Enterprise technology
Sarsen Compute (fictional)
66 sites, campuses, sales offices and data centres
Try the demo →Medical devices
Meridian MedDevices (fictional)
65 sites, manufacturing and R&D
Try the demo →Both are fictitious companies. No sign-up or payment required.
The problem
The traditional portfolio planning process works. What's missing is dynamic scenario planning capability when business requirements change.
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Traditional portfolio plans are static
Long-range plans are periodically refreshed and are then out of date each time requirements change.
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New requirements are addressed without an easy way of understanding portfolio impact
Each new requirement needs data gathering, modeling and weeks of work.
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Big portfolio changes take time to analyze and decisions are often made without portfolio-wide context
An acquisition or disposition takes months to evaluate across the portfolio.
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Scenario planning is often completed without a comprehensive view of options and trade-offs of each one
Decisions are made with incomplete data.
What REWS.AI does differently
An interactive portfolio plan, optimized on demand in minutes
The REWS.AI planning engine and a dedicated team of AI agents, working together to optimize your real estate portfolio.
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An interactive plan
Your eight-year plan and annual capex budget in one model you can query and re-run at any time.
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What-if scenarios can be run in minutes
Research, analysis and scenarios that previously took months, completed in minutes and on demand.
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This year and the eight-year plan
Every scenario is tested against this year's capital budget and the eight-year plan at the same time.
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Trade-offs quantified
Every scenario shows what it delays, the space shortfall it leaves and the added cost from delay, each with its reason.
See it on a live portfolio
the four steps · long-range plan · the year-by-year path · this year's cost
1 · Long-Range Plan
Where the portfolio is heading over eight years.
Open →2 · Optimize
Run every site to close capacity gaps at the lowest net cost.
Open →3 · This year's plan
This year's decisions, cost and the sites that need one.
Open →4 · Send for approval
Send this year's plan to the approver for sign-off.
Open →Data sourcing
Your real estate portfolio and market data in one place.
Agents do the legwork to collect and analyze data. The optimization engine does the math and builds the strongest scenarios for your team to check.
AI agents
Gather and score market data from official agency and policy sources, each with a retrieval date. Anything not verified reads "to be confirmed", never a guess.
The planning engine
Consistency of results: the engine takes in data and inputs collected by the agent team, and runs the calculations to produce outputs. The division of labor: agents gather and analyze data. The engine runs scenarios and produces results.
Built to scale: one engine, your internal data matched to external market data, all in one place at your fingertips that can produce scenarios on demand.
REWS.AI is the first step toward an approved plan. It combines your portfolio data with market data to show the strongest scenarios. Your team guides the work and checks the results, with your finance team and advisers verifying them before approval.
In development