
AI app development for real estate and CRE. Build property search, lease intelligence, document workflows, and portfolio applications grounded in your data.
We combine AI application engineering, document intelligence, and real estate workflow design to make property information more usable.
linking findings to approved leases, amendments, reports, and other source documents
reducing repetitive searching, extraction, comparison, and preparation across large file sets
bringing together approved property, lease, transaction, and operational data sources
making evidence, uncertainty, and exceptions visible before users rely on a finding
controlling which assets, documents, and deal information each user can retrieve
tracking time spent on research, extraction quality, review effort, and workflow completion
supporting additional asset types, documents, teams, and real estate use cases
A cross-functional team builds document intelligence, application UX, integrations, testing, and production workflows.
AI, data, and product engineers work with your technology and asset teams on targeted implementation needs.
A scoped initiative focuses on one workflow, such as lease Q&A, due diligence, or portfolio knowledge access.
We map the asset, transaction, or property-management decision and identify documents, users, and review requirements.
We build extraction, indexing, retrieval, and source-linked question-answering around approved property files.
We connect approved property databases, document repositories, spreadsheets, and operating applications.
We design experiences for finding clauses, comparing records, and reviewing information without losing source context.
We implement permissions, version handling, source references, and appropriate controls around sensitive deal information.
We test extraction accuracy, clause grounding, missing information, document versions, and user access scenarios.
We track search quality, review effort, usage, errors, latency, and feedback to improve the application.
A framework for selecting use cases by document volume, time sensitivity, decision impact, data quality, and review effort.
A method for deciding which findings need clause citations, cross-document checks, or authorized professional review.
An evaluation approach covering extraction accuracy, source traceability, permission boundaries, and task completion.
We identify the target decision, document types, systems, users, and expected application outputs.
We define ingestion, version handling, retrieval, source citations, permissions, and validation criteria.
We build the interface and connect approved property documents, data sources, and business workflows.
We test representative clauses, amendments, missing information, conflicting records, and access controls.
We review adoption, retrieval quality, correction effort, and operational feedback to refine the application.


Teams that needed to ship fast, and did. Here's what partnering with Logiciel felt like from the inside.
It builds AI-enabled applications for property search, document intelligence, due diligence, asset management, and customer experiences, using approved real estate data and workflows.
Yes. A retrieval-based application can find relevant passages in approved leases and amendments and present source-linked answers for user verification.
AI can support document organization, information extraction, comparison, and issue preparation. Material findings should remain reviewable against the original sources.
We design for source attribution, document versions, and explicit uncertainty. Where records conflict, the application should surface the conflict rather than invent a definitive answer.
Yes, when suitable interfaces and access rights are available. Integration may include property databases, document repositories, spreadsheets, and operational platforms.
We scope retrieval and access by user and asset, secure integrations, and test whether unauthorized documents or records can appear in responses.
We start with the property workflow, sample documents, source systems, users, and the decisions the application needs to support.
Bring us the lease, diligence, or portfolio workflow that slows your team down. We will help define an AI application grounded in the records and controls your decisions require.