The Unstructured Data Platform

Your home to consolidate, store, transform, and analyze unstructured data.

Unstructured Data
Structured Analytics
Volume by theme
Sizing
5,180
Pricing
4,930
Onboarding
3,204
Refund
2,611
Support delay
2,109
Checkout
1,740
ThemeDocsTrend
Pricing complaints4,930Up 12%
Sizing issues5,180Up 23%
Onboarding friction3,204Down 8%
Refund intent2,611Flat 0%
Personal Chats
Personal Chats logo 1
Personal Chats logo 2
Personal Chats logo 3
File Storage
File Storage logo 1
File Storage logo 2
File Storage logo 3
File Storage logo 4
Point Solutions
Point Solutions logo 1
Point Solutions logo 2
Point Solutions logo 3
Point Solutions logo 4
Raw obj. storage
Raw obj. storage logo 1
Raw obj. storage logo 2
Raw obj. storage logo 3

Unstructured data is siloed and underutilized

Every business needs to consolidate, store, and transform data into insights. While usually done in relational databases, businesses are increasingly requiring data without structure, incompatible with traditional methods.

Without a home, unstructured data is scattered across LLM Chats, File Storage, Point Solutions, Object Storage, or Operational systems.

Siftree gives unstructured data a home for analytics.

Learn More
Siftree content example
Siftree content example
Siftree content example
Siftree content example

Siftree provides everything you need to sift through unstructured data in seconds.

No more manually combing through media assets, scrolling through social media posts, inspecting every purchase order PDF, or documents lying dormant in storage. Siftree gives you the tools you need to unlock your unstructured data today.

Vector Search Inside Content

Search for concepts inside video, image, and text content with semantic retrieval.

people drinking watersemantic search
Video
Podcast clip • 00:42-01:10 • Score 0.91
match
Image
Brand logo and water bottle detected in frame
match
Cluster Themes in Content

Automatically group related moments, mentions, and topics into actionable content clusters.

AI & automation248 itemsPolitics192 itemsLongevity167 itemsGeopolitics121 itemsStartups84 items
Entity Recognition

Extract people, organizations, brands, products, and sentiment from every asset.

EXTRACTED ENTITIES
PERSON
John DavisAndrew YangJoe Rogan
ORG
Acme CorpRevlonArrowhead
SENTIMENT
NegativeFrustration
Charts and Analytics

Track trendlines and sentiment over time with dashboards built on top of unstructured data.

Mon
Tue
Wed
Thu
Fri
Positive75%
The Siftree Platform

Everything you need for unstructured data intelligence

Unify your unstructured data, analytics, and AI

A single platform to ingest, process, and analyze text, video, image, and audio data at scale. Everything you need from ingestion to insight, unified under one roof.

Explore Platform
Siftree Platform
Cluster Engine
Group similar documents automatically
Classification
Categorize content with precision
Entity Extraction
Pull structured entities from text
Semantic Views
Queryable structured output
Marketplace
Pre-built models and pipelines
Governed Ontology
Controlled semantic structure
Data Marketplace

Every major social network. Every public dataset. One marketplace.

Subscribe to live data from any major social network, review platform, news source, or public dataset — or point Siftree at any URL, API, or custom source. If it's publicly available, it's available here.

Browse
Need something else? Bring any source.
Point Siftree at any URL, API, file drop, or proprietary dataset. If it's publicly available, we'll wire it up.
X
Posts, replies, lists, and trends.
Reddit
Every subreddit, post, and comment.
TikTok
Videos, captions, transcripts, comments.
YouTube
Videos, transcripts, comments, channels.
Instagram
Posts, reels, captions, comments.
Facebook
Public pages, groups, and post data.
LinkedIn
Posts, articles, and company updates.
Discord
Public server messages and community signal.
Threads
Threads posts, replies, and reposts.
Twitch
Stream metadata, chat, and clips.
Bluesky
Posts, replies, and the firehose feed.
Substack
Newsletters, posts, and subscriber notes.
G2
G2
B2B software reviews and ratings.
Trustpilot
Consumer reviews across every brand.
Apple App Store
App reviews, ratings, and version history.
Google Play
Android app reviews and rating distribution.
Yelp
Business reviews, ratings, and check-ins.
Google News
Headlines and articles from any outlet.
RSS Feeds
Subscribe to any RSS or Atom feed.
Any URL
Crawl, extract, and structure any web page.
Podcast Transcripts
Searchable transcripts from any podcast.
SEC EDGAR
10-Ks, 10-Qs, 8-Ks, and every filing type.
US Congress
Bills, votes, hearings, and member data.
US Census
Demographic, economic, and geographic data.
FDA
Drug approvals, recalls, and adverse events.
Custom URL
Point Siftree at any public URL or sitemap.
Custom API
Wire any REST or GraphQL endpoint.
Internal Upload
Drop CSVs, PDFs, JSON, or Parquet.
Request a Source
Don't see it? We'll wire it up for you.
Repeatable Outputs

Ask the same questions.
Get the same answers.

Without Siftree, AI answers from unstructured data are unverifiable and untrustworthy. Different runs, different answers. To avoid this, you need a governed ontology.

Siftree Platform
Claude
ChatGPT
Siftree Ontology
Sizing Issues
Churn Risk
Regulatory Threat
TikTok
Slack
PDFs
$ siftree query
SELECT cluster, doc_count
FROM siftree.ontology
WHERE concept = 'Churn Risk'
01

Consistent Insights

"Churn Risk" means exactly the same 2,341 documents whether you're in Siftree, Claude, or Slack. The ontology owns the vocabulary.

02

Auditable Lineage

Every insight traces back to the exact source with quantified citations. Every output has verifiable proof.

03

Guardrails for Agents

AI agents query a structured graph instead of scanning raw text. The output is only as wrong as the data going in.

Built for real decisions. Auditable by design.

Empirical

Businesses don't need another "chat bot" to give them anecdotes; they need mathematical certainty and the ability to turn thousands of hours of unstructured data into quantifiable telemetry.

Emergent

Organizations are currently blind to 90% of their data. You need a system that doesn't require a predefined schema and continously evolves to unlock it.

Traceable

True intelligence requires full traceability; a 1:1 citation that allows you to tie a metric directly back to the specific sentence in the raw data.

Accurate

Siftree goes beyond keywords, mapping the semantic relationships and momentum between ideas, people, and platforms before they become vertical spikes in the market.

Empirical

Businesses don't need another "chat bot" to give them anecdotes; they need mathematical certainty and the ability to turn thousands of hours of unstructured data into quantifiable telemetry.

Emergent

Organizations are currently blind to 90% of their data. You need a system that doesn't require a predefined schema and continously evolves to unlock it.

Traceable

True intelligence requires full traceability; a 1:1 citation that allows you to tie a metric directly back to the specific sentence in the raw data.

Accurate

Siftree goes beyond keywords, mapping the semantic relationships and momentum between ideas, people, and platforms before they become vertical spikes in the market.

Empirical

Businesses don't need another "chat bot" to give them anecdotes; they need mathematical certainty and the ability to turn thousands of hours of unstructured data into quantifiable telemetry.

Emergent

Organizations are currently blind to 90% of their data. You need a system that doesn't require a predefined schema and continously evolves to unlock it.

Traceable

True intelligence requires full traceability; a 1:1 citation that allows you to tie a metric directly back to the specific sentence in the raw data.

Accurate

Siftree goes beyond keywords, mapping the semantic relationships and momentum between ideas, people, and platforms before they become vertical spikes in the market.

Siftree vs. other options

Siftree

LLMs

BI Tools

Quantitative

Unstructured Data

Evolving Schema

1:1 Traceable

Automated Data Labeling

Zero-Code Interface