Venture Studio
Systems that ingest, produce, measure, and improve.
Reliable before autonomous. Measurable before scaled.
Proof
Today In Network is the live operating system where Automated Cream tests source ingestion, editorial controls, publishing, delivery, and audience acquisition at city scale.
Hyperlocal media machine
As of August 26, 2026: 29 live city sites, 428 published issues, 152 city guides, and 278 upcoming events. A source-backed production pipeline prepares each edition, deterministic checks enforce the rules, and human editors control what reaches readers.
Additional systems
Advertising through TIN
Newsletter sponsorship is a separate conversation from an Automated Cream venture partnership.
What we build
Each system starts with a defined input, explicit quality gates, an observable output, and operator control at the decisions that matter.
Ingestion pipelines, transformation layers, and output systems that run on schedule with explicit gates and operator handoffs. Built to be observed, not hoped at.
Every stage has a gate. Content, data, or product — nothing ships without passing measurable quality checks. Humans stay at meaningful approval points.
Acquisition, delivery, and outcomes are measured separately so the system can improve without confusing activity with results.
Monitoring, alerting, and override layers that give operators real visibility. Know what the machine is doing. Intervene when it matters.
How we work
One operating method from first input to repeatable system.
Connect ingestion, transformation, output, and distribution so real work can move through the full system.
Use deterministic checks where rules are clear and keep humans at editorial, spending, and publishing decisions.
Run the system, measure the output, fix what breaks, and separate a successful run from repeatable performance.
Reusable infrastructure comes from observed performance—not from assumptions made before the system meets reality.
Founder & operator
Automated Cream is founder-led. Ian brings more than two decades across Wall Street banks, hedge funds, private ventures, and financial publishing to the work of building AI-native businesses.
The operating rule is simple: build the system, measure what it does, and keep human judgment wherever the stakes are real.
Venture partnerships
If you own the customer problem and can show a credible path to revenue, tell us what you know that outsiders miss. We partner selectively through equity or revenue share—not hourly work.
Pitch a partnership