Trusted Insights from Unstructured Data
The Problem
Every enterprise runs on structured and unstructured data. Structured data got its semantic layer years ago, but unstructured data - the fastest-growing and most underutilized enterprise asset - has nothing.
LLMs unlocked unstructured data; suddenly anyone can chat with documents, support tickets, call transcripts, and contracts. But the analytics infrastructure hasn't caught up, and the same sins plaguing structured analytics are repeating - plus new ones:
No governance. Ad-hoc LLM queries with no shared definitions.
No reproducibility. Same question, different answers.
No auditability. Embeddings are black boxes — no visibility into retrieval.
No traceability. Large analyses have no path back to each source.
No convergence. Structured and unstructured still live in separate universes.
The Solution: End-to-End Platform for Unstructured Data
A platform that ingests unstructured data, runs NLP, and produces a structured ontology that:
Makes LLM analyses auditable, traceable, and repeatable enterprise-wide
Supports vector search over source documents while maintaining a governed structure
Streams near-real-time with persistent state — the ontology evolves in lockstep with the data
Lets companies pivot unstructured against structured data
No modeling required, Siftree builds the ontology. Everyone explores governed, reproducible and auditable documents.
Who we are
Siftree is developed by a team with analytics and machine learning expertise. Our research-driven approach results in unparalleled, state-of-the-art machine learning models and sophisticated data systems that are purpose-built to decode all forms of unstructured data.