Obligo replaces security deposits with credit-backed alternatives for landlords and renters. The stack is full-spectrum (AWS, Databricks, Postgres, MongoDB, Salesforce, HubSpot, React, Node.js) with heavy modern data tooling (Databricks, Elasticsearch, semantic layer work) — unusual depth for a 51–200-person fintech, suggesting they're investing in data reliability and customer insights to compete on underwriting and compliance. Current project focus spans AI agent development for sales workflows, PII handling/security, and pipeline generation, all pointing toward automation of the rental intake process.
Obligo provides a financial-technology solution that replaces traditional security deposits with a credit-backed alternative, integrated with property-management software used by landlords and property managers. Founded in 2017, the company serves the multifamily and single-family rental markets in the United States, with operations also in Israel. The platform includes deposit alternatives, automated refund processing, and APIs that integrate with industry-standard property-management and accounting systems (NetSuite, Salesforce). Obligo's business model focuses on reducing friction and regulatory compliance burden in rental transactions.
AWS, Databricks, PostgreSQL, MongoDB, React, Node.js, Python, Salesforce, HubSpot, Docker, and Elasticsearch. Also uses Jira, NetSuite, and testing frameworks (Playwright, Cypress, Cucumber).
Yes. Active roles span engineering, product, data, sales, marketing, and ops across senior, mid, junior, manager, and VP levels. Hiring in the United States and Israel.
New York, New York. Founded in 2017 and currently operates with 51–200 employees.
Obligo's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.