Forecasa Introduces Lyra: The AI Assistant Built for Private Lending Intelligence

April 30, 2026.

The private lending market moves fast. Lenders are gaining share in new geographies overnight. Borrowers are working with multiple capital sources simultaneously. Market conditions in Phoenix bear no resemblance to what’s happening in Charlotte. And the intelligence you need to act on all of it has historically been buried inside spreadsheets, title data exports, and proprietary query tools that require a data team to operate.

Forecasa built Lyra to solve exactly that problem — and the result is something the private lending and alternative real estate market hasn’t seen before: a purpose-built AI assistant that connects natural language questions directly to the most comprehensive private lending dataset in the country.

“Who are the most active DSCR lenders in Phoenix this year?” — That’s all it takes. Lyra returns ranked results, trend charts, and exportable data. No dashboard. No query. No waiting.

What Lyra Is — and What Makes It Different

Lyra is not a general-purpose chatbot bolted onto a data product.

Lyra is a domain-specific AI assistant trained to understand the language, workflows, and analytical patterns of private and alternative real estate lending. It knows what a bridge loan is. It understands the difference between a grantor and a grantee in a recorded transaction. It can parse DSCR lending from fix-and-flip activity, identify lender concentration patterns, and surface borrower overextension risk, all from a conversational prompt.

That specialization is what separates Lyra from any horizontal AI tool. Generic AI gives you prose. Lyra gives you data-backed, structured outputs — rankings, trend charts, entity breakdowns, and exportable datasets — grounded in Forecasa’s nationwide title and transaction record coverage.

Core Capabilities

How Teams Actually Use Lyra

The real power of Lyra becomes clear in a real workflow. A capital markets team kicking off their morning review doesn’t open a dashboard and click through filters — they open Lyra and ask. A strategy analyst preparing for a board presentation pulls lender growth rankings for the past four quarters without touching a spreadsheet. An originations lead wants to know who the most active repeat borrowers are in a target county — and has a prospect list in minutes.

Lyra supports a fluid workflow: start broad, narrow to targets, validate patterns, then export and act. Every follow-up question builds on the last, with full conversational context maintained throughout the session.

Example Lyra Prompts

Available on Every Nationwide Plan — With Lyra Max for Power Users

Lyra is built into every Forecasa National and Enterprise plan, so every team member gets natural language access to market data from day one — no additional setup, no separate license.

For teams that rely on AI-driven exploration every day, Lyra AI Max takes things further: higher query limits, deeper analytical capabilities with extended context, and priority processing for faster response times.

For Claude Users: Forecasa’s MCP Connector

The Bigger Picture

The private lending industry has always had a need for better data.

What it hasn’t had is a way to make that data conversational — accessible to every member of a team, on demand, without a technical intermediary. Lyra closes that gap.  It is not a feature. It is a fundamentally different way to work with private lending intelligence.

For lenders looking to expand into new markets, capital providers assessing concentration risk, investors hunting active deal flow, and brokers building prospect lists — the question is no longer “how do I get this data?” It’s simply: ask Lyra.