We couldn't agree more.
"This means the real opportunity is not in picking the best model but instead in building a learning loop on top of models where human capital and token capital compound. You can offload a task, or even a job, but you can never offload your learning. The future of the firm is the ability to compound that learning across people and AI."
Today, @AnkurKJain, @jakekang, @nickmecklenburg , and I are excited to launch Whitney AI (@try_whitney)
My best friends (and now co-founders) and I all quit our jobs and dove into the unknowns of building a startup. We started our journey this January @southpkcommons spent months wading through the idea maze.
Our team comes from Microsoft Superintelligence, Netflix, Google X and YC startups.
At Whitney AI, we see a massive missed opportunity. Today’s AI-native enterprises have squeezed everything they can out of frontier models via better prompts, better scaffolding and better context. But if every company is using the same general purpose models, where does that leave your competitive edge?
Your real edge is in the assets that your competitors can’t copy: proprietary data, evaluations and production traces. And yet, most companies fail to harness them.
Whitney AI fixes that. We embed with your team to build self-improving custom models and evaluations on your proprietary data, so the intelligence you walk away with is owned by you and compounds over time. We help you build your AI moat.
Here’s a picture of my team getting ourselves flowers after a hard day at work. When we deliver for you, the next bouquet's yours.