About Siftree
Enterprise software for agents.
The shift
Software is moving underground.
People now start with Claude, ChatGPT, or an agent of their own, not a dashboard. That relationship belongs to the AI labs, and it’s a good one to build on.
What agents lack is software made for them: connected data, a place to run, and rules to follow. That’s the layer we build, so your team keeps the interface it likes and gets work that runs on its own.
- Your teamAsks for the outcome
- Their agentsClaude, ChatGPT, your own
SiftreeData, models, hosting, controls- Your and external dataBusiness apps, files, public websites
What we built
Four companies’ worth of infrastructure, already running.
Building enterprise-grade solutions from an AI chat usually means stitching these together yourself. We did it once, so you don’t.
Data integration. Connect supported business systems, public sources, and your own files. Source access and operations depend on the connector and account.
Data and AI platform. Store, structure, retrieve, and analyze data with managed datasets and model routing.
App and agent cloud. Run tasks in sandboxes, host interfaces, retain results and run history, and configure background work and schedules.
Security. Use authorized accounts, workspace permissions, and defined review points for access and actions.
The team
Sixteen years building internal tools and selling software.
We’ve worked on both sides of the problem: the teams that need the tools and the vendors who sell them. The gap between them is where agents need help.
Kyle DeSana
CEO
Built data products and internal tools across telecom, media, insurance, auto, and tourism.
Ehren Marschall
CTO
Founding engineer at SpiritHub, then ten years as a fractional CTO.
Start with the work you need done.
Tell us what takes too much time today. We’ll help scope a first workflow around your team, your data, and your existing agent.