Lease Intelligence Platform
Confidence-Scored Extraction & Portfolio Q&A — A lease intelligence platform where every client owns a fully isolated environment, extracting structured terms from lease PDFs, answering portfolio questions with cited sources, and flagging low-confidence results for review.
What we were solving for
Lease documents are long and inconsistent, and abstracting key terms by hand is slow and error-prone — with real legal and financial stakes if something is missed.
How we built it
Structured lease extraction
Tenant, rent, dates, and clauses pulled into typed fields, so portfolios can be filtered by date, term, or renewal.
Confidence scoring & citations
Every extracted field carries a confidence score linked back to its source text.
RAG-based portfolio chat
A chat interface answers questions across the whole lease portfolio, with sources cited on every answer.
Low-confidence flagging
An analytics dashboard surfaces low-confidence extractions and queries for attention.
Your own environment, not a shared tenant
No pooled infrastructure — your data, database, and encryption keys never touch another client's deployment.
Where it landed
Turns unstructured lease PDFs into structured, queryable data.
Every answer and extracted field comes with a confidence score and source citation.
Full data ownership and isolation, by default — not an add-on plan.
More Engineering Work
View All Case Studies →AI Fashion Discovery Platform
A mobile-first fashion discovery platform where shoppers search by style, occasion, or visual reference, powered by multimodal search and LLM-assisted intent understanding.
1.5M+ User Platform Infrastructure
Backend architecture and CRM development for a large-scale artist social platform, scaled from roughly 400K to 1.5M+ users with GraphQL, search, and AI-driven personalization.
Have a similar system to build or rescue?
Discuss your technical requirements directly with our lead product engineers.
Schedule a Scoping Call