๐ŸŽ‰ New! GradientPond now supports LLM evaluation and prompt tracking. Here's how โ†’
โญ Trusted by over 150,000 ML practitioners

The Fastest Path to Models That Ship

GradientPond connects experiment tracking to deployment, automatically turning training insights into production-ready models.

Trusted by over 150,000 developers and thousands of companies

GradientPond โ€” Experiment Dashboard
94.2%
Best Acc
0.031
Loss
847
Epochs
2h14m
Time
NVIDIA Google Meta Uber Spotify Boeing

Log & organize every experiment automatically

Add two lines of code and GradientPond captures metrics, hyperparameters, code state, and artifacts for every training run.

Try GradientPond free โ†’
Run #847 โ€” resnet50-v3
lr: 0.001
batch: 64
opt: AdamW
epochs: 100
โœ“ Metrics ยท โœ“ Git a3f2c1d ยท โœ“ Env captured

Two lines of code. Full observability.

Works with every major ML framework. No config files, no complex setup.

LLM Evaluation
Any LLM LlamaIndex LangChain OpenAI
ML Frameworks
PyTorch TensorFlow Hugging Face
1  import gradientpond as gp
2
3  @gp.track
4  def train_model(config):
5    model = build_model(config)
6    for epoch in range(config.epochs):
7      loss = train_epoch(model)
8      gp.log_metric("loss", loss)
9    return model
Try GradientPond Free View on GitHub โ†’

An End-to-End ML Evaluation Platform

GradientPond's platform for ML teams focuses on shipping models faster, including experiment tracking, evaluations, model registry, and production monitoring.

Compare (2)

Track & Compare Training Runs

Log metrics, hyperparameters, and artifacts. Compare unlimited runs with interactive visualizations and parallel coordinates.

correctness 0.95 score 0.88 hallucination 0.12

Evaluate & Score Model Outputs

Built-in eval metrics, LLM-as-a-judge scoring, and custom evaluation rubrics. Catch regressions before they reach production.

Model Registry & Versioning

Version models with full lineage. Stage gates from development to production with approval workflows and CI/CD integration.

99.9%
4.1s
$0.23
uptime
latency
cost/req

Production Monitoring

Real-time monitoring for data drift, model degradation, and cost tracking. Automated alerts when metrics breach thresholds.

Built for Enterprise, Driven by Community

GradientPond's platform is trusted by innovative ML teams in the most demanding environments.

Autonomous Systems

"GradientPond has aided our success with ML and serves to further model development across our entire autonomous driving division."

KA
Kyle AndersonDirector of ML Engineering

FinTech Corp

"GradientPond offers the most complete experiment tracking solution on the market. It's brought significant value to our fraud detection models."

OC
Olcay CiritStaff Research & Tech Lead

HealthAI

"GradientPond enables us to speed up research cycles and reliably reproduce and collaborate on our modeling projects. Indispensable."

VS
Victor SanhMachine Learning Scientist
150K+
ML Practitioners
2B+
Experiments Tracked
500+
Enterprise Customers
99.99%
Platform Uptime

The complete ML lifecycle in one platform

From your first training run to production monitoring at scale, GradientPond handles it all.

๐Ÿ“Š

Experiment Tracking

Auto-log metrics, hyperparameters, code, and artifacts. Compare runs with interactive parallel coordinates and scatter plots.

๐Ÿ”ฌ

Model Evaluation

Define test suites in plain English. Automated regression detection, LLM-as-a-judge scoring, and custom evaluation rubrics.

๐Ÿ“ฆ

Model Registry

Version, stage, and deploy models with full lineage. Know exactly which data and code produced each model version.

๐Ÿ”„

Reproducibility

Every experiment captures environment, dependencies, git commit, and random seeds. One-click reproduction of any result.

๐Ÿ‘ฅ

Team Collaboration

Share experiments, leave comments, create reports, and build dashboards. Keep your entire team aligned on model progress.

๐Ÿšจ

Production Monitoring

Track data drift, model degradation, and prediction quality in real-time. Automated alerts before issues impact users.

From experiment to production in 4 steps

1

Instrument

Add 2 lines of code to your training script. Auto-captures everything.

2

Iterate

Compare runs, find the best hyperparameters, and identify what works.

3

Evaluate

Run automated test suites. Catch regressions before they reach production.

4

Ship

Promote to production with confidence. Monitor performance 24/7.

Works with your entire ML stack

Native integrations with every major framework. Two lines of code to get started.

๐Ÿ”ฅ PyTorch ๐Ÿง  TensorFlow ๐Ÿค— Hugging Face โšก XGBoost ๐ŸŒŠ Keras โ˜๏ธ AWS SageMaker โ˜๏ธ Google Vertex AI โ˜๏ธ Azure ML ๐Ÿ“Š MLflow ๐Ÿ”— LangChain ๐Ÿฆ™ LlamaIndex ๐Ÿค– OpenAI โš™๏ธ Ray ๐Ÿ”ง Optuna
View all integrations โ†’

Built for the most demanding environments

GradientPond meets the security, compliance, and scale requirements of the world's largest organizations.

  • โœ“ SOC 2 Type II certified
  • โœ“ HIPAA compliant
  • โœ“ SSO/SAML authentication
  • โœ“ On-premise deployment option
  • โœ“ Role-based access control
  • โœ“ Audit logs & data retention policies
  • โœ“ 99.99% uptime SLA
  • โœ“ Dedicated account manager
Learn about Enterprise โ†’
๐Ÿ”’
SOC 2 Type II
Annually audited
๐Ÿฅ
HIPAA
Healthcare ready
๐ŸŒ
GDPR
EU compliant
๐Ÿ“‹
ISO 27001
Certified

Start free, scale as you grow

No credit card required. Generous free tier for individuals and small teams.

Free

For individuals & learning

$0
forever
  • Unlimited experiments
  • 3 team members
  • 100GB storage
  • Community support
  • All integrations
Get Started

Enterprise

For large organizations

Custom
contact sales
  • Everything in Team
  • SSO/SAML
  • On-premise option
  • Dedicated support
  • Custom SLA
  • Audit logs
  • VPC peering
Contact Sales

Get started today, free.

No credit card required. Your account comes with a generous free tier you can use forever.

Start Free Contact Sales