Last updated 06-30-2026
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Siftree
Siftree is a no-code platform for unstructured data that consolidates text, video, image, and audio from across your business into one searchable source of truth. It connects tickets, transcripts, reviews, social posts, PDFs, and app data, then structures that content with machine learning so teams can query it without waiting on a data science backlog.
The platform runs an ingest, discover, structure, and synthesize pipeline: it ingests mixed formats, extracts entities and sentiment, clusters emerging themes automatically, and exposes the results as auditable tables tied back to source documents. Product pages highlight entity tagging, risk signals, emotion scoring, and evidence trails that link every insight to the exact sentence that produced it.
Siftree also ships a public data marketplace for sources like TikTok, Reddit, YouTube, G2, and SEC filings, plus MCP-native agents that work inside Claude and ChatGPT. Marketing and ops teams use it for social listening, churn detection, and cross-channel narrative tracking; sales and support teams use it on call transcripts, tickets, and customer conversations.
Pulls tickets, transcripts, reviews, PDFs, and social posts into one unified table
Builds analytics-ready datasets from a plain-language prompt, no coding required
Tags entities, sentiment, risk signals, and themes with evidence linked to source docs
Browse a marketplace of public web data across TikTok, Reddit, YouTube, G2, and more
Runs inside Claude and ChatGPT via MCP, or embeds into your own product
Generates one-shot, brand-ready reports and dashboards from structured data
Consolidates fragmented unstructured sources into one queryable platform instead of juggling separate tools.
Every insight links back to the exact source document and sentence for auditable analysis.
MCP support lets teams run pipelines from Claude, ChatGPT, or embedded agents without writing code.
No public pricing page; teams must contact sales to get started.
Built for enterprise-scale unstructured data, which may be more than small teams need.
Marketplace and connector breadth still depends on which sources your workflow requires.
What types of data does Siftree support?
Siftree ingests unstructured and semi-structured data including text, video, image, audio, PDFs, transcripts, support tickets, and social posts. Its homepage lists customer conversations, sales calls, documents, contracts, reviews, and social content as supported source types.
How is Siftree different from traditional BI tools?
Siftree is built for unstructured data with an evolving schema, automated labeling, and 1:1 traceable evidence trails. Its comparison table positions it against AI chats and BI tools on capabilities like unstructured data support, zero-code access, and automated data labeling.
Does Siftree work with Claude and ChatGPT?
Yes. Siftree is MCP-native and shows direct integrations with Claude and ChatGPT on its homepage. Agents can kick off ingestion and analysis pipelines from those chat tools or embed Siftree into a custom product.
What public data sources are in the Siftree marketplace?
Siftree's data marketplace includes TikTok, Reddit, YouTube, Instagram, Facebook, LinkedIn, Discord, Threads, Twitch, Bluesky, Substack, G2, the Apple App Store, SEC EDGAR, US Congress data, and custom API connections.
Does Siftree publish pricing online?
Siftree does not list plan prices on its website. Access is offered through Get Started and contact flows on siftree.com, which suggests a sales-led or custom pricing model rather than self-serve checkout.
What is Inductive Intelligence on Siftree?
Inductive Intelligence is Siftree's approach where the platform learns what is inside your data and builds structure around it without predefined categories. The how-it-works page describes ingest, fact extraction, pattern discovery, and structured views as the core steps.