Company
Building verified AI for regulated industries.
Mission
The document-relational verification problem exists across every regulated industry — title and real estate, government contracting, commercial real estate transactions, financial services compliance. In all of them, the fundamental challenge is the same: fragmented project files, firm-specific rules that generic AI doesn't know, and the requirement that answers be not just useful but verifiable. TitleTrace is building the infrastructure layer for that problem. Starting with the industry where the stakes are clearest and the existing tools are most inadequate.
What We've Built
The Architecture: TitleTrace is not a document search tool or a PDF chatbot. It is a reasoning engine that aligns a high-dimensional vector space with a structured property graph. Documents uploaded to a project are processed into a graph database where entities are mapped to a shared ontology — ensuring that "Grantor" in a deed instrument is programmatically linked to "Grantor" in a recording standard. Vector embeddings stored as properties on graph nodes enable semantic similarity search. Multi-hop graph traversals enforce constraints and dependencies.
The result is an engine that understands the "why" behind document relationships — not just the "what" inside them.
Spatial Verification
Every extracted entity and flagged mismatch is anchored to its source. Not a page reference appended to a generated answer — a mechanical citation produced by the same retrieval that produced the answer. Users see the finding and the evidence simultaneously.
Bring Your Own Rules
Generic AI models do not know a firm's internal underwriting standards, local recording requirements, or risk tolerance thresholds. TitleTrace allows firms to upload their own standards and procedures. These are ingested into the project's graph ontology and run as an active compliance layer against every document in the project.
Graph-Relational Reasoning
TitleTrace does not search documents for relevant passages. It maps every entity in a project into a structured graph, defines the relationships between them, and checks those relationships deterministically. Whether a Grantor name is consistent across a chain of instruments is a graph comparison — not a language model inference.
Stage and Status
TitleTrace is currently in private beta, with initial deployment in the title and escrow industry. The platform is not yet publicly available. We are not currently seeking press coverage or investor inquiries through this site. Inbound inquiries may be directed to hello@titletrace.com.
Where We're Going
The title and escrow wedge is the starting point, not the ceiling. The graph architecture, the BYOR system, and the spatial verification engine are not title-specific — they are purpose-built for any industry where compliance is document-driven, the rules are firm-specific, and the cost of a wrong answer is not acceptable. Government contracting, commercial real estate, financial services regulatory compliance. The problem TitleTrace solves is the same in all of them. We are building the category from the ground up, starting with the industry where we can prove the standard.