Kelo provides an agentic operating system for institutional investors and portfolio managers to grow, operate, and unlock liquidity in residential property portfolios without adding headcount. The platform automates tenant scoring, onboarding, contract lifecycle, rent collection, and maintenance coordination, delivering fully automated workflows that handle up to 65% of operations while offering real‑time analytics such as yield forecasts and liquidity candidates.
Funding
Funding not disclosed
Founders
Product
Problem
Institutional investors and portfolio managers of residential real estate face labor-intensive processes for tenant selection, lease administration, rent collection, and maintenance, which limit scalability and reduce portfolio yields.
Solution
Kelo offers an agentic operating system that automates core property‑management tasks through AI‑driven workflows. The platform scores and onboards tenants, manages contract lifecycles, handles rent collection, and coordinates maintenance with minimal human intervention, covering roughly 65% of operational work. Integrated intelligence modules provide acquisition scoring, neighborhood yield analysis, and price‑band insights to support growth decisions. A liquidity suite enables rent‑to‑own deployments, qualified‑buyer matching, and exit‑window modeling to unlock capital without distress. Users interact with a unified dashboard that surfaces real‑time insights, forecasts yield improvements, and allows teams to monitor and intervene only when needed.
Target Audience
Primary customers are institutional real‑estate investors and portfolio managers overseeing large residential asset bases who require scalable, data‑driven operations and liquidity solutions.
Features
- AI‑based tenant scoring and automated onboarding workflow
- End‑to‑end contract lifecycle management with automated reviews and reminders
- Automated rent collection and arrears handling
- Predictive maintenance coordination routed through agentic alerts
- Acquisition scoring and neighborhood yield analytics derived from live portfolio data
- Price‑band intelligence and comparable asset benchmarking
- Rent‑to‑Own (RTO) liquidity vehicle deployment and qualified‑buyer matching
- Exit‑window modeling and capital rotation tools