POC to production-grade AI real estate platform.
An early-stage real estate platform with open bugs, fragile UX, and an overloaded founder was rebuilt into a live AI-first product — with custom GenAI modules, hardened infrastructure, and a release cadence the team could trust.
A working POC — and everything that makes a POC not a product.
Open bugs, fragile UX
Functional POC with a long tail of open bugs, fragile workflows, and an inconsistent user experience across modules.
No release process
Features shipped when they were ready — without QA gates, regression coverage, or release notes the team could trust.
Founder-bound engineering
Capacity organised reactively around the founder, with limited product-management discipline and no documented roadmap.
Surface-level AI
AI capabilities limited to surface-level features that did not differentiate the product from incumbents in the category.
Scalability & security debt
A posture that would not survive scrutiny from larger brokerages or compliance-conscious buyers.
No engagement signal
No instrumentation — product decisions were made on intuition and ad-hoc customer conversations.
From founder-bound POC to a production cadence the team can trust.
Joint roadmap ideation with the founder
Quarterly planning translated founder vision and customer signal into a sequenced roadmap with clear release goals and explicit trade-offs — so build decisions had a paper trail.
Agile delivery and release discipline
Two-week sprints with explicit ship goals, written acceptance criteria, integrated QA, and release notes for every deployment. Daily-comment hygiene on the issue tracker made progress visible without standup overhead.
GenAI modules built into the platform
Natural-language MLS market analytics, AI-assisted content and listing copy, behaviour-aware email automation, and intelligent document processing — built as native capabilities, not bolted-on chatbots wrapping a generic LLM.
Scalability and security hardening
The live MLS data path was rebuilt for throughput. Infrastructure monitored, patched, and audit-ready. Vulnerability remediation tracked to closure so the platform could survive due diligence.
User engagement instrumentation
Behavioural tracking, interaction timelines, and product-usage dashboards added so future feature decisions could be made on signal — and the founder had real numbers for customer and investor conversations.
Marketing and content absorbed into delivery
Conversion-research-backed landing page rebuild, SEO and schema work, content production, and positioning revisions owned alongside engineering — taking the work off the founder's calendar entirely.
Live brokerages, predictable releases, AI users feel.
Production-grade platform in daily use by pilot brokerages running real transactions
Architecture ready for the next market — onboarding without re-platforming
Verified third-party broker reviews; posture suitable for compliance review