Real Estate
AI for real estate marketing and agent workflows
Brokerages and proptech teams need marketing output faster than manual production allows. We build agent-facing tools where AI drafts assets inside approval workflows, with brand and compliance guardrails built in.
Discuss real estate AIContext
What teams struggle with
Speed versus brand consistency
Generic AI copy erodes brokerage identity. Agents need drafts that respect listing facts, local context, and marketing guidelines before publish.
Visual assets at listing velocity
Photos, social creatives, and listing descriptions must stay aligned. Image and text pipelines should share context, not run as disconnected experiments.
Agent adoption over demo novelty
Tools that live outside daily CRM or marketing flows get ignored. AI belongs inside the steps agents already take to market a property.
Use cases
What we build in this vertical
Content
Listing and social copy generation
Property-aware drafts for descriptions, emails, and social posts with edit and approve states before anything goes live.
Visuals
Image and creative workflows
Enhancement, variant generation, and asset packaging tied to listing metadata and campaign templates.
Copilot
Agent marketing copilots
In-product assistants that pull listing context, suggest campaigns, and log outputs for compliance review.
Automation
Lead routing and classification
Inbound message tagging, priority scoring, and handoff rules with human override on high-value leads.
Stack
Typical tooling
Models and APIs
OpenAI · Anthropic · Image APIs · Provider routing
Product stack
React · Node.js · Python · PostgreSQL
Guardrails
Template versioning · Moderation hooks · Cost caps · Feature flags
FAQ