Four decades building things that matter — close to the metal, at every level of the stack.
Ted Cahall knows scale — organizational, financial, and technological. He managed 3,700 staff at AOL, 1,800 at Digital River, and over 1,000 at Microsoft. He managed a P&L in excess of $1B at both AOL and Microsoft. The MSN home page alone gets over 1B daily page views — and it is just one page in the MSN Network of sites. Ted and his teams at Digital River set record levels for Sales and Availability for the Microsoft store and logged a patent for High Volume Transaction Queuing in Machine Learning in the process.
Before decades in the C-suite, he started his career writing data communications device drivers for Unix in C at AT&T Bell Labs. That is not a metaphor. That is a literal description of where he began — close to the metal, solving real problems, in one of the most demanding engineering environments ever assembled.
Ted earned his MS and BS in Electrical Engineering and Computer Science from the University of Illinois at Chicago. After starting his career and earning his first patent at AT&T Bell Labs, he went on to serve as CTO at CNET, where he conceived Apache Solr — still one of the most widely used enterprise search platforms in the world. As BU President and later CTO at AOL, he was part of the team that took the company public in December 2009. As CVP and global head of MSN at Microsoft, hired directly by Satya Nadella, Ted ran one of the highest scale online media web networks in the United States and globally. As President at AOL, CVP at Microsoft, and 4x COO at United Online, Digital River, block.one, and the EOS Network Foundation, he ran business and technology operations at scale, teams across continents, products used by millions.
Named Executive Officer on three public companies. Two US patents. He still architects and designs software solutions.
Most people advising companies on AI have read about operations. Ted has managed both people and tech stack at massive scale. He knows which processes drain energy and which ones create it. He knows where automation creates leverage and where it creates chaos.
AI agents are the highest-leverage tool he has encountered in forty years of building. Agentilis exists to put that leverage to work.
Before Agentilis took on its first client, they automated a real business back-office process for the Washington DC Region of the SCCA.
The service, marrspoints.com, is an Auto Racing Points Scoring system running in the Cloud. The system has been running for over 15 years continuously and is now supported and operated entirely by the Agentilis agent team. James refactored and upgraded the two Java applications and added several new features. Watts tested all those changes to ensure quality. Ken keeps it running in the test environment as well as AWS. But most importantly for complex, real-time business operations, Inman manages the live feed in the back-office tool on race weekends.
Not a demo. Not a proof of concept. A working system, all run by AI Agents right now.
That is what we build for our clients.
It starts with a conversation.
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