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neptune.ai

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Pricing from
$150 per user per month
Free Trial
Free version
User corporate size
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User industry
  1. Education and training
  2. Information technology and software
  3. Media and communications

What is neptune.ai

neptune.ai is an experiment tracking and metadata store used to log, organize, and compare machine learning runs, models, and related artifacts. It is typically used by data scientists and ML engineers to manage experimentation across notebooks, scripts, and training pipelines. The product focuses on flexible logging (metrics, parameters, files, and custom metadata) and collaboration features such as dashboards and run comparisons. It is commonly deployed as a managed cloud service, with options that support controlled access for teams.

pros

Strong experiment tracking core

neptune.ai provides structured tracking for parameters, metrics, artifacts, and run metadata across many experiments. It supports comparing runs and organizing results via tags, namespaces, and searchable metadata. This makes it well-suited for iterative model development where reproducibility and auditability depend on consistent logging.

Framework-agnostic integrations

The platform integrates with common Python ML workflows and can be used from notebooks, scripts, and pipeline jobs. It supports logging from popular training frameworks and tools without requiring users to adopt a full end-to-end data science platform. This can reduce friction for teams that already have established data and compute stacks.

Collaboration and visibility

neptune.ai offers a UI for browsing experiments, comparing runs, and sharing results within a team workspace. Centralized dashboards help standardize how results are reviewed across projects. This is useful when multiple contributors run experiments across different environments and need a single source of truth for outcomes.

cons

Not full lifecycle MLOps

neptune.ai primarily addresses experiment tracking and metadata management rather than the full model lifecycle. Capabilities such as feature stores, model serving, end-to-end pipeline orchestration, and data labeling are typically handled by other tools. Organizations seeking a single consolidated platform may need additional components.

Value depends on instrumentation

Teams must consistently instrument training and evaluation code to log the right metrics, artifacts, and metadata. Without agreed conventions, projects can become difficult to compare and search, reducing the usefulness of the system. This often requires internal standards and ongoing maintenance.

Governance needs evaluation

Enterprises with strict security, residency, and compliance requirements may need to validate deployment options, access controls, and audit capabilities for their specific policies. Some advanced governance needs (for example, tightly integrated lineage across data-to-model workflows) may require complementary tooling. Procurement may also need to assess how the product fits into existing identity and monitoring standards.

Plan & Pricing

Plan Price Key features & notes
Research (Academic / Kagglers) Free (apply for free license) Unlimited members; Unlimited tracked hours; 1 TB storage. Available to students, professors, academic researchers and Kagglers (apply via Neptune for Research page).
Startup $150 per user/month (billed monthly; 10% discount on annual subscriptions) Unlimited tracked hours; Unlimited users & projects; 1B data points/month; 1 TB storage; 99.99% ingestion SLA; SSO/LDAP; Standard email & chat support; Request free trial available. Overage: $10 per 1M data points above quota; $2/GB/month storage overage. Ingestion limit: 500k data points/10 min.
Lab $250 per user/month (billed annually) Everything from Startup plus: 10B data points/month; 10 TB storage; Forking of runs; Role-based access control; Priority email & chat support; Dedicated Customer Success Manager and user support Slack channels; Request free trial available. Ingestion limit: 5M data points/10 min.
Self-hosted Custom (contact sales) Deployment on your infrastructure or private cloud; Dedicated instance deployments; Custom ingestion speed & storage limits; High reliability/availability options; Site Reliability Engineer support; Free trial available; contact sales for pricing.

Notes: Additional official charges documented on the vendor site: $10 per 1,000,000 data points above plan quota; $2/GB/month storage overage. The vendor's Terms and documentation also reference a "Free Plan" and free academic licenses; the public pricing page lists Startup, Lab, and Self-hosted tiers as shown.

Seller details

neptune.ai sp. z o.o.
Warsaw, Poland
2017
Private
https://neptune.ai/
https://x.com/neptune_ai
https://www.linkedin.com/company/neptune-ai/

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