TRAIN · P95
AI experiments.
Under control.
P95 is Numerata's agentic training platform: manage every training job from anywhere, from a single run to hundreds running in parallel.
INSTALL
Ships as an agent skill. Add it and it instruments your experiments automatically.
AGENT SKILL: let your agent instrument runs and report back
npx skills add numerataz/instrument-experiment
OR CALL IT YOURSELF: install the Python SDK directly
pip install p95
# or
uv add p95
BUILT FOR THE FULL WORKFLOW
From a single run to hundreds of parallel jobs, P95 scales with you.
HYPERPARAMETER SWEEPS
Define a search space and let P95 schedule trials automatically. Grid, random, or Bayesian search. Results stream in as each run completes.
CLOUD JOBS
Submit training jobs to the cloud directly from your CLI or SDK. Monitor progress, stream logs, and compare results against previous runs, all in one place.
TEAM COLLABORATION
Share projects and runs with your team, and compare experiments side by side.
INSTRUMENT ONCE, SCALE ANYWHERE
Wrap your training loop with a Run context. The same code runs locally, in a sweep, or as a cloud job.
TRAIN.PY
from p95 import Run
with Run(project="resnet", name="lr-0.001") as run:
run.log_config({"lr": 0.001, "optimizer": "adam"})
for epoch in range(num_epochs):
loss, acc = train(model, loader)
run.log_metrics({"loss": loss, "acc": acc}, step=epoch)
Configs, metrics, and tags
in one place.
Runs automatically
grouped under sweeps.
Works with PyTorch, JAX,
TensorFlow, or plain Python.
BROWSE RUNS WITHOUT LEAVING YOUR SHELL
A clean, keyboard-driven interface. Navigate projects, inspect run configs and metrics, and watch live charts update, all without leaving your terminal.
GET STARTED
Ready to run your first sweep? Create an account and start tracking experiments in minutes.