Intelligence,distributed.
Daily AI is a research and consulting company. We build autonomous, distributed systems that read, learn, and decide at the scale of the open web — and for a select set of partners, we put that machinery to work: lifelike AI avatars, silent fleets of distributed headless agents, bespoke intelligent systems engineered to order.
Our research concentrates where scale meets structure.
- Transformer architectures
- New attention mechanisms and model topologies for high-throughput sequence understanding.
- Distributed data structures
- Shared state, memory, and coordination for fleets of cooperating models.
- Graphical learning
- Learning over entities, relations, and the signals that travel between them.
- Few-shot learning
- Systems that generalize where labeled data is scarce.
Our systems ship. They always have.
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Early work
Few-shot vision models identifying individual North Atlantic right whales — among the rarest animals in the ocean — from open-water survey imagery.
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GPT-2 era
Language systems curating the world's most interesting content for human readers, years before it was obvious.
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Today
Autonomous editorial and analytical pipelines running unattended in production, every day.
Years of production, distilled.
The Daily portfolio spans proprietary model architectures, training corpora, autonomous curation and generation pipelines, and the distributed infrastructure that serves them — refined through years of continuous production use.
A small team of researchers and engineers who left academia to build.
Founded alongside Peter Diamandis and Eben Pagan. Our work has been featured at Singularity University, Abundance 360, and UC Santa Cruz.