Estatewise is a brokerage operating system. It pulls leads from Zillow, Realtor.com, and brokerage sites into a single pipeline, qualifies them with an AI co-pilot, and writes follow-up sequences in the agent's voice, so a 3-person team can run the deal flow of a 12-person team.

Mid-market brokerages were losing 30 to 40% of inbound leads to slow first-touch. Agents were context-switching between MLS, email, SMS, and a legacy CRM that hadn't been redesigned in a decade. Leadership had no visibility into what the AI follow-ups were actually saying.

A multi-tenant pipeline view (Kanban + table) with smart segmentation by source, intent, and budget.

An AI co-pilot that drafts email/SMS follow-ups grounded in the agent's prior wins and the prospect's listing preferences. Every reply is reviewable before send.

Listing-aware enrichment: pulls comps, school scores, and walkability into each lead card.

Webhooks and a public REST API so brokerage ops can pipe data anywhere.

Frontend: Next.js 15 (App Router), React Server Components, Tailwind, shadcn/ui

Backend: FastAPI + Postgres (RLS for multi-tenancy), Redis for queues

AI layer: OpenAI GPT-4 class for drafting + a fine-tuned embedding model on agent-tone samples; pgvector for retrieval

Infra: AWS (ECS Fargate + RDS + S3), Terraform IaC, GitHub Actions CI/CD

First-touch response time dropped from 4h average to 4 minutes.

Inbound-to-tour conversion up 27% in the first 90 days.

Operating cost per agent down ~$180/mo by collapsing the tool stack.