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Manual renovation cost estimation created costly delays and inconsistent pricing for real estate professionals. We built an intelligent estimation platform that automated the process and cut quote turnaround time significantly.
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Real-time occupancy, vacancy, and asset performance rolled up across every property in the portfolio, filterable by asset class, market, or ownership entity, so a portfolio manager sees the full picture without pulling three spreadsheets together first.
Digital lease creation, e-signature workflows, automated rent escalation triggers, and CAM reconciliation logic built into the platform, so renewal deadlines and cost pass-throughs stop depending on someone remembering to check a calendar.
ROI modeling, cap rate calculation engines, and cash flow scenario forecasting that account for how the asset is actually financed, giving investment teams a live view instead of a static spreadsheet that’s outdated the moment a lease changes.
Lead and deal tracking built for brokerage workflows, with commission calculation, activity history, and pipeline stages that match how commercial deals actually move, not a residential CRM with different field labels.
Tell us how your entities, leases, and reporting lines connect, and we'll show you what a platform built around that structure looks like.
Book a Discovery CallMost commercial real estate teams run on a patchwork of a generic CRM, a separate document repository, and a rent roll that lives in Excel because nothing else captures it correctly. Each system has its own version of the truth, and reconciling them before a board meeting or an investor call eats hours that should go toward the deal itself.
That works until the portfolio grows past a size where manual reconciliation is sustainable, or an investor asks for reporting the spreadsheet was never built to produce. At that point, the constraint isn’t headcount. It’s the software.
We model ownership structure into the data layer itself, not as a tag on a property record, so reporting and access control follow the actual legal and financial structure of the portfolio.
JV and fund-level waterfall logic runs natively in the platform’s financial layer, so distribution reporting doesn’t require a separate model maintained outside the system of record.
Portfolio-level dashboards pull from entity-level data automatically, giving asset managers a consolidated view without a spreadsheet stitching separate exports together.
A platform that can't talk to your existing accounting, CRM, and listing systems just becomes one more silo. We build integration-ready architecture from day one, with direct API connections into the tools that already hold your financial and deal data, so the new platform becomes the system of record instead of another disconnected point solution.
We start by mapping how your portfolio is actually structured, ownership entities, JV agreements, reporting obligations, and the systems currently holding that data. This becomes the technical brief the rest of the build works from, not a generic requirements doc.
Before any interface gets designed, we define how ownership, leases, and financials relate to each other in the data layer. Getting this wrong is the single most common reason CRE platforms need a costly rebuild eighteen months in.
If you're moving off Yardi, MRI, or a legacy point solution, we map every field that needs to migrate and flag data quality issues before migration starts, not after records show up broken in the new system.
Engineers build the platform in sprints against the architecture from step two, with API integrations to your accounting, CRM, and listing systems developed in parallel rather than bolted on at the end.
QA runs against actual edge cases from your portfolio, multi-entity rollups, mid-lease escalations, JV distribution splits, instead of generic test data that never surfaces the bugs that matter.
We deploy with full documentation and hands-on onboarding for your team, so day one on the new platform doesn't mean relearning your own workflows from scratch.
Cost depends on how complex your reporting structure is and how many systems the platform needs to talk to. Here's how most commercial real estate builds break down.
Best for a single dashboard or module. 8 to 12 weeks.
Best for a lease and CRM platform. 4 to 6 months.
Best for a full platform with AI and legacy migration. 6 to 12 months.
Regulatory pressure on commercial real estate has shifted. ADA and zoning documentation still matter, but the sharper edge right now is emissions and sustainability reporting, with frameworks like NYC Local Law 97, CSRD, and GRESB requiring auditable data trails that most legacy systems were never built to produce.
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Manual renovation cost estimation created costly delays and inconsistent pricing for real estate professionals. We built an intelligent estimation platform that automated the process and cut quote turnaround time significantly.
Homeowners and real estate professionals struggled to coordinate construction and renovation projects without a centralized system. We delivered a digital project management platform that streamlined communication, documentation, and progress tracking in one place.
Real estate developers lacked a reliable single-source marketplace for building materials and hardware procurement. We built an end-to-end online marketplace that simplified supplier discovery, ordering, and delivery management.
Cost depends on portfolio complexity, the number of system integrations, and whether legacy data migration is involved. Most CRE platforms fall between $30,000 and $150,000. Book a free discovery call for a real estimate based on your portfolio.
We design the data model around how your portfolio is actually owned and financed before a single screen gets built, so reporting reflects your real structure instead of a generic property schema stretched to fit.
We’ve mapped and migrated data out of Yardi, MRI, and homegrown spreadsheet systems without losing lease history or breaking reconciliation, which is where most CRE migrations quietly go wrong.
Requirements, workflow mapping, and architecture decisions happen before development starts, so the build matches how your team actually works instead of how a generic template assumes they do.
Infrastructure sized and configured for your actual portfolio scale, not over-provisioned for hypothetical growth you’re not paying to support yet.
You own the complete codebase and data at delivery, with an NDA in place from day one and no vendor lock-in built into the architecture.
L1 through L3 support options after launch, so the platform keeps working the way it was designed to as your portfolio and reporting needs change.
A commercial real estate platform isn’t finished the day it ships. Portfolios grow, ownership structures change, and reporting requirements shift as ESG frameworks get stricter. We provide ongoing performance monitoring, feature updates, and technical support so the platform keeps pace with your business instead of becoming next year’s legacy system.
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Read Article →We map every field before migration starts and flag data quality issues in advance, so lease history and reconciliation records transfer intact instead of showing up broken in the new system.
Yes. We model ownership structure directly into the data layer, including JV waterfall distributions, so reporting reflects how the portfolio is actually owned rather than a flattened generic structure.
Portfolio and workflow mapping, systems audit, and a data model design session. You get a clear architecture plan and cost estimate before any development begins.
Yes. We build direct API integrations with leading real estate and accounting platforms, including Yardi, MRI Software, Salesforce, and MLS/IDX feeds.
Yes, when it fits the workflow. We integrate AI-driven document automation for lease term extraction, though complex leases still get a human review pass before terms go live.
Yes. We structure energy and emissions data pipelines to support Local Law 97, CSRD, and GRESB-aligned reporting with an auditable data trail.
You do, in full, at delivery. There's no vendor lock-in built into the architecture and an NDA is in place from the start of the engagement.
Yes, with L1 through L3 support options, so the platform keeps working correctly as your portfolio and reporting needs evolve.