Leni

Leni is a platform for running AI agents on the kind of work where a wrong number costs real money. Underwriting models, investor reports, rent rolls, and asset-level analysis all sit in that category. It's underwriting software that behaves less like a chatbot and more like a checked pipeline. The team behind it raised $8.5 million to build infrastructure that firms can actually sign off on, and says it has supported more than $80 billion in assets while processing over 100 million rows of investment data a day.

The core idea is that the model isn't the hard part anymore. Getting reliable output is. Leni's patent-pending Routed-Knowledge Graph builds a picture of your organization's context and routes work to the right model for each job, whether that's a frontier LLM, a smaller self-trained model, or a combination. Everything runs in a containerized environment with your frontier models hosted on Leni's servers, so sensitive deal data doesn't leave the setup.

Where it holds back is scope. Leni is aimed at investment and real estate teams, not general office work. Pricing isn't published anywhere on the site. If you're a solo user wanting a cheap chatbot, this isn't built for you. It's a tool you evaluate with a sales conversation.

Getting Started

1. Request access through the Leni site and set up an account at app.leni.co.
2. Connect your data sources, which can include documents, email, meeting notes, and industry ERPs like AppFolio or RealPage.
3. Let the platform build organization context so agents understand your assets, operators, and reporting conventions.
4. Assign a task such as an underwriting update or a portfolio report, and pick a model or let Leni route it.
5. Review the structured output and approve it, with the decision saved to your private context graph.