Experiment tracking
Log hyperparameters, metrics, and artifacts automatically. Compare runs side-by-side like you would in a lab notebook, but versioned and searchable.
Neural Lattice is the AI SaaS workspace ML engineers actually use: notebooks, experiment tracking, and production deploys in one place. Go from tutorial to trained model in hours, not quarters.
from lattice import Experiment, Dataset
exp = Experiment("churn-predict")
exp.log_params(lr=3e-4, epochs=40)
model = exp.train(
arch="transformer-small",
data="s3://datasets/events"
)
# val_acc: 0.947 · deploy → edge
model.deploy("production")Loss
0.142
↓ 12% vs last run
Epoch
28 / 40
GPU
A100 ×2
$4.20 / hr
Platform
From your first deep learning tutorial notebook to production inference, without stitching together five different vendors.
Log hyperparameters, metrics, and artifacts automatically. Compare runs side-by-side like you would in a lab notebook, but versioned and searchable.
Spin up A100 or H100 nodes in seconds. Spot pricing, autoscaling, and pre-warmed images for PyTorch, JAX, and TensorFlow workflows.
Promote winning models to REST, batch, or edge endpoints. Canary rollouts, drift monitoring, and rollback built in.
For builders
Whether you are running your fifth data science project or your fiftieth production model, Lattice keeps the loop tight: train, evaluate, ship, monitor.
Trending with teams
Data science projects
+300% interest · teams ship 2× faster on Lattice
PyTorch
Native
Hugging Face
Hub sync
Weights & Biases
Import
GitHub Actions
CI hooks
Starter tier includes 50 GPU hours and unlimited experiments. Scale to dedicated clusters when your models graduate.
Starter
$0/mo
50 GPU hrs · 3 seats
Team
$49/seat
Unlimited experiments · SSO
Join 4,200+ ML engineers shipping on Neural Lattice. No credit card for the starter tier.
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