Version 1.0 — coming soon

Stop logging.
Start shipping.

Axiom is the autonomous ML experiment agent that monitors your repositories, runs experiments continuously, versions your data, and flags regressions before they ship. It works while you sleep.

axiom-agent — experiment-runner
$ axiom init --repo github.com/yourteam/ml-pipeline
Connecting to remote repository...
✓ Connected. Monitoring 3 branches.
$ axiom run --strategy grid
→ Experiment #47 queued. ETA: 4h 23m
→ Experiment #48 queued. ETA: 4h 31m
→ Experiment #49 queued. ETA: 3h 58m
⚠ REGRESSION DETECTED — Exp #44: accuracy dropped 0.7%
✓ Rolling back to Exp #43 baseline.
→ Sleep mode enabled. See you at standup.
24/7 Autonomous monitoring
0 Missed regressions
1 agent Replaces your entire tracking stack

The experiment tracking stack
replaced by one agent.

Wandb, MLflow, DVC, a dozen spreadsheets, and a Notion doc — that's what most data science teams run today. Axiom replaces all of it. It versions your data, logs every run, compares results, and alerts you when something breaks. You ship better models, faster.

Your stack today

Weights & Biases MLflow DVC Google Sheets Notion Slack notifications

6 tools. 0 agents. All manual.

Axiom

✓ Autonomous experiments ✓ Data versioning ✓ Regression alerts ✓ Self-healing rollback

1 agent. Fully autonomous. Always watching.

What Axiom does

Built for researchers.
Running for everyone.

Continuous Experiment Runner

Define your experiment space once. Axiom queues grid searches, hyperparameter sweeps, and ablation studies — running them in priority order, automatically, 24/7.

Data Versioning That Works

Every dataset snapshot is snapshotted and linked to the experiments that used it. Roll back to any previous data state. Never lose a working model because you forgot to log the data.

Regression Detection & Rollback

When a new experiment degrades accuracy, Axiom alerts you immediately and can auto-rollback to your best known baseline. No more shipping broken models on Fridays.

Compare Everything

Side-by-side experiment comparisons with every metric, every parameter, every dataset version. Know exactly why one model beats another — down to the data it trained on.

"We built Axiom because we were tired of babysitting our experiments."

The average data scientist loses 3-4 hours per week manually tracking what they ran, what data they used, and why their results changed. That's not science. That's administrative work.

4.2B Global ML experiment tracking market size
73% Of data scientists still use spreadsheets for experiment tracking
0 Autonomous experiment agents on the market today

Your models should get better while you sleep.

Axiom is the autonomous experiment partner that never forgets to log a run, never misses a regression, and always knows which model is your best. Build once. Ship forever.

Axiom

Autonomous ML Experiments