Fuzzy systems
are a liability

Siftree is clear from source to destination.

Sizing Complaints

Product Quality › Sizing

Evidence volume1,204 documents3 core entities mapped

sizingfits smallwrong size

Reddit r/fashionForum

"ordering medium got a small, sizing way off this year"

Support Ticket #4821Ticket

"wrong size sent again, 3rd time with this issue"

TikTok @stylecheckVideo

"their sizing chart is WRONG i measured twice"

From 1,204 documents across 7 source types

We learn what's in the data before it's even stored.

Purpose-built to understand highly complex data sets.

Entities

Every person, brand, location, and product mentioned across your data becomes a searchable, countable fact automatically.

Risk Signals

Cancellation intent, escalation language, legal threats are flagged and structured the moment they appear across every document.

Emerging Themes

Recurring topics surface themselves without any predefined categories so your data tells you what matters first.

Emotions

Every document is scored so you always know whether the signal across sources is trending positive, negative, or shifting.

Tone & Urgency

Frustration, enthusiasm, and anxiety are captured to explain why sentiment moved, not only that it moved.

Hidden Patterns

High-level ideas are detected across your corpus even when no one used the exact words your analysts expected.

Most AI guesses.
Siftree shows its work.

Compare typical AI retrieval stacks up against Siftree's ontology-driven queries. Because your data is learned upon ingestion, every answer has a paper trail.

Without Siftree

Step 1 · Opaque search

[0.234, -0.412, 0.871, 0.003, -0.156, 0.642, …]1,536 dimensions — your question reduced to math

Step 2 · Best guesses returned

…citrus flavors have been gaining traction across social media platforms, particularly among…

…smoky profiles trending on Reddit this quarter with multiple threads discussing…

…floral notes in craft beverages growing steadily, Instagram posts show…

3 of 4,230 passages retrieved — the rest are invisible

Step 3 · Limited context

3fragments sent to the AI
out of 4,230 total documents

Everything else is invisible to the model.

Output

Citrus and smoky flavors are trending across social, with Reddit and Instagram driving most of the discussion. Floral is also present.

✗Not quantified · Fragments only · No structure

With Siftree

Step 1 · Ontology match

Flavor Profiles

Mapping completely visible to you

Step 2 · Cluster resolved

4,230posts

Step 3 · Source breakdown

× 2,340

Instagram

× 1,890

Output

✓Quantified · Exhaustive · Structured

Human-Readable. AI-Ready.

Intelligence Is Only 3 Steps Away

Step 01

Connect or upload

Choose a source or upload your own data. We support APIs as well.

Step 02

Siftree learns and organizes

Advanced ML algorithms analyze all aspects of your data, creating a structured ontology.

Step 03

Insights

Build charts, tag data, interact with AI agents, and sift through your data with ease.

See what you've been missing

You can slice, dice, and break down unstructured data like never before. We take care of all the messy work for you, and organize your data into a hierarchical taxonomy, that's ready to use right away. And because your data is embedded, you're able to comb through it with neural search, sifting through your data like a knife through butter.

Get Started