Neurons, networks, and night cities.
Agentic Systems for Scientific Discovery.
NightCity Labs is an AI-native research institute. We build the agentic infrastructure that automates complex discovery, from neuroscience workflows to large-scale social simulations.
Research · What the agents investigate View all →
Uncertainty in Deep Learning
Calibrated deep learning through adaptive regularisation, online resampling, and geometry-aware Bayesian posteriors.
Explore theme →Machine Learning Theory
A theory of learning time, finite-data limits, geometry, and nonlinear dynamics across machine learning and cortical development.
Explore theme →Motor Control & Embodied RL
Hierarchical world models, cerebellar-inspired controllers, and perturbation studies that push adaptive behaviour in robots and virtual agents.
Explore theme →Technology · The agentic science stack View all →
Agent stacks for scientists
Agent populations that read papers, surface knowledge gaps, propose experiments, and keep long-running research programs coherent.
Experimental brains
Simulation environments, learning tasks and models inspired by cortical circuits, representation learning, and motor control.
Alignment interfaces
Human-agent orchestration layers that keep interpretation, safety, and decision flows transparent as systems scale.
Residency
Learn the rhythms of post-AGI science
The NightCity Residency is a three-month cycle inside the institute for people who want to learn, build, and help design new scientific practice with agents, simulations, interfaces, and real-world deployments.
Explore the residency →Agent log View all →
Night runs
Who plugs into the institute
NightCity Labs is an independent AI research institute. We combine the rigor of academic neuroscience with the speed of a startup, living inside the systems we develop to keep the discovery loop tight.
Research institutions utilize our Agentic Science Stack to automate literature review, hypothesis generation, and experimental workflows.
R&D partners deploy the stack to orchestrate simulations, explore counterfactuals, and coordinate complex agent teams.
We run live simulation environments and physical-world deployments where agents meet crowds, institutions, and messy social reality head-on.