Siftree

About

We make custom, data-intensive applications possible.

Every company needs to do 3 core things: Find, Win, and Keep customers. In 2026, the average company spends ~$11.5K per employee across 305 apps to do this.

202 kept from a year ago103 added in the past 12 months
~103 retired over the same period

IT sprawl always ends in mean reversion — becoming AI-native requires centralizing control. But rapid adoption of AI tools allows companies to stay competitive, creating a major IT dilemma.

Centralizing phaseDecentralizing phase
Now195019601970198019902000201020202030Centralization of controlRe-centralizeDecentralize furtherPaper, hierarchyMainframePC, client-serverERP, suitesSaaS, cloudAI

Lovable/Replit are failed centralization bridges: mission-critical apps are data-intensive — they carry maintenance, security, and architectural risk no company wants to own.

To successfully bridge companies from the old software-based operating model to the new AI-based operating model, they need something that absorbs such risks.

16 years inside intelligence teams, building data products for companies $3M to $120B in revenue — we're creating a “core” that kills SaaS-sprawl and enables custom, data-intensive applications. We want to be one of the last software companies to ever exist.

Kyle DeSana

Kyle DeSana

Data across Telecom, Media, Insurance, Automotive, and Entertainment/Tourism industries.

Ehren Marschall

Ehren Marschall

E-commerce engineering.

Siftree gives IT control, business users flexibility, and kills SaaS-sprawl. It transforms software-native companies to AI-native companies. Why can't companies build this themselves? They can! But using Siftree is exponentially easier... just sign up!

Without Siftree

Build or buy a data stack first

One solution

AI codegen

Replit, Lovable

Language

OpenAI, Anthropic

Vision

Reducto, Google

Audio

AssemblyAI, Rev

Enrichment

Custom code

Lakehouse

Databricks, Snowflake

ETL

Fivetran, Airbyte

Scraping

Bright Data, Apify

Web search

Exa, Parallel

People search

Apollo, ZoomInfo

1st-party data

Merge, Nango

Start: hire data engineers, sign ten contracts

With Siftree

Sign up and go

Many Solutions

Siftree Core

One platform, one contract

AI app building

Build the last 10% in plain language

Models

Language, vision, audio, and enrichment

Storage and query

Governed, queryable by default

Ingestion

Pipelines that repair themselves

Sources

Scraping, search, people, and first-party data

Start: sign up

Start buildingTalk to sales →

Siftree

Transforming companies from software-native to AI-native.

The last solution you need to find, win, and keep customers. Siftree connects calls, tickets, reviews, social, documents, video, and the systems you already use — then builds pipelines, datasets, tools, and cited insights your team and agents can operate on. Long-horizon agents keep building after you walk away.

[Machine-readable summary](https://www.siftree.com/llms.txt) — full machine-readable index.

Capabilities (summary):

  • - Connect anything: calls, tickets, reviews, social, documents, video, and existing systems.
  • - Describe what you need in plain language; Siftree builds pipelines, structures the data, and routes models for language, vision, audio, transcription, classification, and enrichment.
  • - Operate on datasets, tools, reports, and cited insights. You define the rules — what counts, how it's scored, what gets labeled.
  • - Marketplace: 1,000+ public sources. Search, choose a source, and create an analysis-ready dataset without scraper maintenance.
  • - Native connectors for help desks, CRMs, and call recorders, plus upload and API. Audio and video are transcribed and labeled with everything else.
  • - Runs on a schedule or a trigger, and alerts your team in Slack when a threshold is crossed.
  • - Acts in your systems: writes labels and fields back to the help desk or CRM, opens issues in Linear or Jira, and drafts replies and emails. Each agent runs automatically, drafts for review, or asks first, and every action is logged.
  • - Ask questions of your data from Claude or ChatGPT through Siftree MCP.
  • - Enterprise protections: continuous verification of every request, encryption in storage and transit, privilege and identity governance, immutable activity logs.
  • - Teams use the eight products in place of separate point tools for prospecting data, support analytics, social listening, community triage, ad research, AI search visibility, research repositories, and competitive intelligence.

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