Run more bets
Put promising ideas into active research and testing instead of leaving them unexplored.
Set an objective. Mad AI creates a dynamic organization of AI agents on the fly. The team researches autonomously, explores competing hypotheses, runs experiments, and reorganizes the work in a continual learning loop.
Expand what your organization can pursue. Explore more directions, learn what works sooner, and focus your people on the decisions that matter.
A durable objective can outlast any one task, plan, or agent run. The next useful move depends on what prior work revealed and what changed in the world.
Continual work turns new evidence into the next move. It does not restart from the same instructions.
The objective endures. The plan does not.
Define the outcome, the limits, and the decisions that remain yours. Mad AI takes it from there.
Set the objective and define what progress means.
Choose the evidence, systems, budget, and authority available.
Mad AI acts within those bounds and brings consequential decisions to you.
Put promising ideas into active research and testing instead of leaving them unexplored.
Work in parallel before committing more people, time, or capital to a direction.
Carry evidence, failed paths, and decisions forward so the work does not start over.
Mad Labs brings together experience in AI research, large-scale distributed systems, search and recommendation, and data infrastructure. Our team has built systems at Twitter, VMware, Etsy, and Fiverr, and founded startups in AI and data infrastructure.
We are building Mad AI to turn advances in models into reliable organizational capacity. It is designed for work that outlives any one model, agent, or plan.
We are working with AI-forward functional leaders on focused design partnerships. Bring one objective. Together, we will define the evidence, boundaries, authority, and measures of progress needed to pursue it.