Your models are getting smarter. Your tools aren't.

Modern training systems are dynamic, high-dimensional, and impossible to reason about manually. Metrana captures everything — and uses agentic AI to explain, diagnose, and guide optimisation.

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python

import metrana
metrana.init(project="gpt2-training")
metrana.log("train/loss", loss)
metrana.close()

Metrana plugs into your training workflow with just a few lines of code — comparable to Weights & Biases. Instrument your training runs with minimal code changes — from standard frameworks to highly customised pipelines — and start capturing system-wide signals immediately.

For more advanced setups, Metrana can assist with integration, adapting to your pipeline and generating tailored instrumentation where needed.

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Hundreds to thousands of metrics

At any real scale, you're not tracking dozens of metrics. You're tracking thousands — losses, gradients, activations, rewards, and signals whose absence you only notice after something breaks.

Signals evolving across layers

Signals don't freeze between checkpoints. What's stable at step 1,000 can be the source of a collapse at 100,000.

Tightly coupled, non-linear interactions

A gradient spike in one layer can drive a reward collapse in another. A parameter you ignored turns out to matter. The interactions aren't obvious, and they don't announce themselves.

THE VISIBILITY GAP

Dashboards fill up with charts. The real questions go unanswered — why did this run diverge, where did instability begin, which signals actually mattered, what to try next? Understanding becomes a guessing game. Metrana changes both sides of the equation.

Interprets complex system behaviour

At any real scale, you're not tracking dozens of metrics. You're tracking thousands — and signals whose absence you only notice after something breaks.

Identifies failure modes and bottlenecks

When something breaks, Metrana traces it — not to the symptom, but to the origin. Where in the system it started. What was happening when it did.

Surfaces the signals that actually matter

Thousands of metrics doesn't mean thousands of useful ones. Metrana points to what's driving behaviour, not everything that correlates with it.

Recommends concrete optimisation strategies

Specific adjustments — what to change, where, and why — based on what the system is actually doing.

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Capture everything, from multi-environment reinforcement learning to large-scale LLM training runs

System-level visibility

Operate complex training systems with full visibility. Metrana structures thousands of signals into a coherent system view so nothing gets lost between components.

Built for multi-agent complexity

Track per-environment signals, rewards, and trajectories across every agent in your system. When behaviour emerges or breaks, you see exactly where and why.

Faster diagnosis and resolutions

Fix problems faster with clear, actionable recommendations. Metrana traces failures to their origin, not the symptom, so you know what started it and when.