AI for PropTech
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Renew

Predicts renewal outcomes from resident behavioral signals and auto-personalizes retention outreach. Operators report 7% higher renewal rates and decisions completed 30 days faster.

Last reviewed 6/2/26

Category: Tenant Experience Communication
Tags: resident-retentionlease-renewalsmultifamilypredictive-analytics
AI

How Renew uses AI[1][2][3]

Momentum Scoring, Renew's machine learning model, reads resident engagement signals such as offer views, pricing sensitivity, and communication patterns to predict renewal likelihood, then prioritizes and personalizes outreach timing and content.

  • Momentum Scoring flags churn risk early from engagement and pricing-response signals
  • Predictive analytics forecast renewal versus move-out decisions per resident
  • Automated outreach personalizes message, next step, and delivery timing
  • Ask Renew answers natural-language questions about resident and portfolio data
  • Renew reports automating up to 70% of renewals without staff involvement

AI type: Predictive Analytics, LLM

What it helps you do

Increase Occupancy Reduce Vacancy Speed Up Leasing

Built for

Multifamily Operators Property Managers

Key numbers

  • Renewal decisions completed 30 days faster
  • 3% higher in-unit retention
  • 7% higher renewal rates vs non-AI operators
  • automates up to 70% of renewals, saving ~$55K/year per 250-unit property

Credibility

Founders & team
Rob Hayden (CEO, ex-Jetty) and Kevin Murphy (ex-RentPath, ~10 years). Founded 2021.
Customers
  • KETTLER (full portfolio rollout), Hamilton Point Investments (full portfolio rollout)
  • Integrates with Yardi and Entrata
Investors
Haymaker Ventures (led Series A), Goldcrest. $8M seed, $12M Series A.
Case Studies
Hamilton Point Investments: 140% ROI. KETTLER: reduced workload, increased resident engagement, sped up renewal decisions.

Founded

2021

Headquarters

New York, NY

Stage

Series A

Employees

11-50