Commercial real estate firms and PropTech companies use EdgeFirm to abstract leases in seconds instead of days, give portfolio managers real-time answers from their own property data, and build tenant-facing AI that handles routine inquiries without a call center. Custom systems. Fixed price. Production in 4 to 5 months.
We build around the work your team does every day: lease review, portfolio reporting, tenant communication, and deal analysis. Each system below ships in 4 to 5 months and comes with full code ownership.
We build around the work your team does every day: lease review, portfolio reporting, tenant communication, and deal analysis. Each system below ships in 4 to 5 months and comes with full code ownership.
Live dashboards and pipelines turn scattered operational data into one picture your team can act on, exportable for leadership.
Every system we deliver runs on infrastructure your team can own and extend, no black boxes, no per-seat licensing.
Yardi Voyager integration · AppFolio / MRI Software · CoStar API connections · RealPage data integration · Custom document management systems
GPT-4 / Claude (document reasoning) · LangChain / LlamaIndex · RAG over lease and property docs · OCR for scanned lease documents · Custom fine-tuning where needed
PostgreSQL / MongoDB · dbt data transformation · Designed with SOC 2 guidance, hosted on AWS or Google Cloud · Designed for GDPR and CCPA requirements · Role-based access control
Python & FastAPI · React / Next.js dashboards · AWS / Azure / GCP · Docker / Kubernetes · End-to-end encryption
CI/CD pipelines · Logging & metrics · Error tracking · Uptime monitoring · Automated backups
The models, vector stores, data tooling and infra behind every build.
On standard commercial leases (office, retail, industrial), well-trained AI extracts most fields at accuracy rates that match or exceed a first-pass human review. The difference is that AI is consistent. It applies the same extraction logic every time, on every document, without fatigue. It helps most not by replacing legal judgment on ambiguous clauses, but by handling the extraction work that doesn't need judgment: dates, amounts, tenant names, notice requirements, and renewal options. Your attorney reviews the AI's output rather than starting from scratch. We tune the system on your actual lease portfolio during the build, so accuracy reflects your specific lease formats, not a generic benchmark.
Yes. We connect directly to Yardi Voyager, AppFolio, MRI, and RealPage via their APIs, so you don't have to export or migrate data. The portfolio intelligence layer pulls from your existing system of record. It doesn't replace it. For document management, we connect to whatever you use, whether that's a dedicated DMS, SharePoint, or a folder structure on a shared drive. We assess integration complexity during the discovery call and are upfront about what's simple and what takes more work.
Most often mid-market owners and operators. These are firms managing 50 to 500 properties across office, industrial, retail, or multifamily. The team is big enough to have a real document and data problem, but not big enough to have a data engineering team to solve it. We also work with investment managers and acquisition teams where deal speed matters, and with PropTech companies building AI-powered products for the CRE market. If you're a single-property owner, the investment probably doesn't make sense yet. We'll tell you that on the first call.
Lease documents and tenant data are some of the most sensitive commercial data a firm holds, and we treat them that way. We build with end-to-end encryption, role-based access controls so only authorised users can query or view specific properties, and full audit logging so you can trace who accessed what and when. We sign NDAs before the project starts. We can also set up the system so documents never leave your cloud environment. The AI model queries your data in place rather than pulling it to a third-party platform. We design with SOC 2 guidance and design for GDPR and CCPA requirements from day one.
Four to five months to production. Projects start from $20K and the price depends on scope. A lease abstraction system for a single document type is at the lower end. A full portfolio intelligence layer with tenant communication AI and Yardi integration is toward the upper end. We quote a fixed price after the discovery call, so you know the total before we start and it doesn't change. ROI projections come as part of the discovery deliverable, built on your actual lease volume, team hours, and current process costs.
No data science team and no AI expertise required. Your existing property management or IT team can run the systems we deliver, with admin dashboards that don't need engineering knowledge. At handoff you get the full codebase, documentation, and training so your team can manage, monitor, and extend the system on its own. When you add new lease templates or property types, the retraining process is built into the system, so it doesn't need us. Retainer support is available if you want it for ongoing feature additions, but you're never locked in.
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