Tenant Inc. announced today that self-storage operators can now connect AI tools like ChatGPT and Claude directly to their live operational data through Nectar, its open API platform. The move lets operators build custom AI agents, dashboards, and integrations without waiting for a vendor to prioritize the feature.
Nectar's open API foundation
Nectar has always been the central data layer for Tenant Inc.'s platform, moving information between Hummingbird, Mariposa, and more than 40 third-party vendors. What changed is the AI tools on top of it. Large language models can now read structured API data, generate insights, and automate workflows that once required custom development. Published documentation and an open developer portal mean operators and developers can start building today.
Why open access matters
"For years the industry has told operators their data is their own. Then they try to use it and find out it only moves where the vendor allows. That's not ownership. That's permission," said Lance Watkins, CEO at Tenant Inc. "Nobody knows exactly how AI changes this industry over the next two years. That's why open matters. On a closed system, every capability an operator wants has to be on someone else's roadmap. On Nectar, a developer can ask an LLM what code they need and build it in days, not weeks."
What operators are building
Operators are already using Nectar to create custom solutions that previously required developer resources:
- End-of-Day Recap Agent: An AI agent that pulls moves, delinquencies, and revenue across every property and texts a summary to the operator's phone at close of day.
- One-Prompt Revenue Dashboard: Point an AI tool at the Nectar Management Summary endpoint and pull every key metric into a live dashboard in a single prompt.
- The Integration Nobody Built: Connect a tool the PMS does not natively support, built through Nectar without a vendor build queue or roadmap request.
These examples show how operators are using AI agents for automation to solve real operational problems without manual data pulls or waiting on engineering queues.
Why this matters for Operations
For operations managers, the ability to point AI tools at live data means real-time visibility without relying on pre-built reports or vendor timelines. A single prompt can surface occupancy trends, delinquency rates, or revenue across a portfolio. This is a practical application of AI for Operations that moves beyond theory - it puts data directly into the tools teams already use, on their terms.
More information is available at tenantinc.com.
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