About AIDC

Monetize and manage your datasets.

Publish your AI training datasets on your terms. We manage copyrights, license, governance and distribution. The dataset remains on your site until purchase or we will host for you. You choose.

If you are a data engineer, you can reuse datasets for tuning and training from one client to the next, but with the proper license and controls. Or you can build and optimize datasets for specific scenarios. If you are a corporation, you can leverage existing data for passive income that has now become more valuable than you may have imagined.

The AI wave

There are three pillars of the current AI wave: Compute, Models, Data.

Compute
The chips and clusters. Largely settled — a handful of players operating at enormous scale.
Models
The frontier labs. Advancing weekly, and steadily commoditizing.
Data
The pillar still wide open. AIDC's home ground.

There are approximately 3 petabytes of data in the open internet, which has mostly been consumed in AI training. There are 100 petabytes behind firewalls that has yet to be tapped. This is where you come in.

Data is the foundation. AIDC builds on it — turning domain expertise into Deep Expert Agents: ExpertSix builds one, DeltaSix fields a coordinated team of six, deployed on the platform you already use.

Let's go

Team

The people building AIDC.

Dave Drach

Founder & CEO

Previously VP Corporate Development at Techstars, MD at Microsoft Ventures, CTO of FRx at Microsoft, and GM of Tech Platform at Great Plains (acquired). Earlier roles at EY/CapGemini and Boeing Computing.
John Huschka

Chief Architect, AIDC

Prior work includes systems contracting for the US Congress and law enforcement record systems, and roles at Microsoft, Great Plains, and EY.
Tim Kleier

Development Manager, AIDC

Previously Software Architect at Upright and Developer at HP.
Travis Parke

Operations, AIDC

Two-time co-founder, three-time Head of Operations. Previously Customer Experience at Sphero.
Duke Manchester

Pipeline Development, AIDC

UC Boulder, Computer Science and Applied Math. Unix systems and security background.