Rahul Singh
I lead Anant Corporation, a Washington, DC consultancy. I have spent three decades solving problems of scale in global digital platforms. Today we help enterprises build, operate, and trust AI at scale.<br> <br>I started in internet infrastructure, moved into large-scale data platforms, and now lead a practice focused on bringing AI into the systems that actually run business. The thread connecting all of it is the same, platforms where the cost of failure is measured in dollars, lives, or both, and the discipline you need to build them, so they don't.<br> <br>#Intelcraft : Our practitioner training, focused on the human and AI workflow rather than the tool. We've been running it for three years now, with vendor-neutral curriculum, weekly officehours, and public studyhalls. We teach lean methodology, theory of AI, and guide your team through exercises to upskill , and collaborate together with agents to get results. <br> <br>#Tekt: We've assembled a distribution of open and best-in-class platforms for running intelligent systems, so we're not reinventing the wheel, and neither are our clients. We got you, whether you want to run in your cloud, our cloud, or AWS, Azure, or GCP. Oh, and we open source the tooling so you can do it too.<br> <br>#Arkitekt: Our network of senior practitioners for clients designing, building, and operating intelligent platforms, at Fortune 10, federal, and global infrastructure scale. Hard problems, senior people, accountability one team can carry from whiteboard to runtime.<br> <br>Recent clients include UBS, Capital One, Deloitte, Kroger, Cisco, Intuit, McDonald's, Accenture, and DataStax, plus federal customers across CBP, DHS, DoD, USPS, and USPTO. Strategic partners include IBM, Yugabyte, ScyllaDB, Confluent, StarTree, Aerospike, Snowflake, and Redpanda.<br> <br>I've been part of building the communities I serve. I helped create PlanetCassandra and remain one of its organizers, and I've hosted weekly AI and data webinars in the Cassandra community since the pandemic. I ran Data Engineers DC for 10 years and serve on the board of Data Community DC, which supports 30,000+ data professionals.<br><br>The next twelve months are when most enterprises decide what their agent strategy actually is. Most will get the architecture wrong, the training wrong, or the operations wrong, often all three. We help shorten the distance between a prototype shipped yesterday and twenty agents running in production tomorrow, with the controls and the people to keep them there.<br><br>Georgetown graduate in Leadership and Public Policy, guided by the Jesuit principle of being a man for others.
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Washington, DC
