Graviti data platform
MLOps platforms
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- Ease of management
- Quality of support
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$200 per month
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What is Graviti data platform
Graviti Data Platform is a data management and collaboration platform designed for machine learning and computer vision workflows. It focuses on organizing, versioning, and querying large-scale datasets (including images and video) and associated annotations to support model development and iteration. Typical users include ML engineers, data engineers, and labeling/ML operations teams that need dataset governance and reproducibility across experiments. The product emphasizes dataset-centric operations such as dataset version control, metadata management, and integration with labeling and training pipelines.
Dataset versioning and lineage
The platform provides dataset version control to track changes to data and annotations over time. This supports reproducibility for model training and evaluation by tying experiments to specific dataset states. It also helps teams audit how dataset updates affect model performance. Dataset-centric lineage is a practical differentiator for organizations iterating frequently on labeled data.
Computer vision data support
Graviti is oriented toward unstructured ML datasets, particularly computer vision assets such as images and video with annotations. It supports managing metadata and labels alongside the underlying media, which is important for CV model development. This reduces the need to stitch together generic storage tools with separate annotation repositories. Teams working with large CV datasets can centralize dataset operations in one system.
Collaboration for ML data ops
The platform is built for multi-user workflows where data preparation, labeling, and model development occur in parallel. Shared dataset access, controlled updates, and consistent dataset definitions help reduce coordination overhead. This is useful when multiple projects reuse the same base datasets with different slices or label schemas. It aligns with MLOps practices that treat data as a governed, evolving asset.
Narrower scope than full MLOps
Graviti is primarily dataset- and annotation-centric rather than an end-to-end MLOps suite. Organizations may still need separate tools for feature engineering, model training orchestration, deployment, monitoring, and governance. This can increase integration work compared with broader platforms that cover the full ML lifecycle. Fit depends on whether the main pain point is data/label management versus full-stack MLOps.
Integration requirements vary
Adoption typically requires integrating the platform with existing storage, labeling tools, and training environments. The effort and completeness of integrations can vary by stack (cloud provider, data lake, CI/CD, training framework). Teams should validate API/SDK coverage, authentication patterns, and how dataset versions map into pipelines. Without strong integration, dataset governance benefits may not fully translate into automated workflows.
Vendor information not fully verified
Publicly verifiable corporate details (exact legal entity name, headquarters, and social profiles) are not consistently available from authoritative sources in this context. Buyers doing due diligence may need to confirm ownership, support model, and regional presence directly with the vendor. This can matter for procurement, security reviews, and long-term roadmap confidence. Treat the vendor fields below as requiring confirmation.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Starter | Free | 100 GB private cloud storage; 50,000 rows; XS compute: 2 hours free; 20 GB free data transfer; limited retention (keep for 30 days for some items). |
| Standard | Starting from $200 per month | Unlimited seats; Storage billed on-demand $40 / TB / month; Entries billed $0.10 per 1,000 rows / month; Compute XS $1 / hour; 14-day free trial (as shown on site); data transfer: $0 per TB (same region), $20 per TB (different region), $90 per TB (transfer away). |
| Premium | Starting from $800 per month | Unlimited seats; Storage $40 / TB / month; Entries $0.15 per 1,000 rows / month; Compute XS $1 / hour (contact sales for prepaid discount); contact sales for larger sizes and enterprise/on-prem plans. |
Notes: "Only pay for what you use" — billed monthly; offers on-demand pricing or committed plans; contact sales for custom or on-premise plans.
Seller details
Graviti Inc.
San Jose, California, United States
2019
Private
https://www.graviti.com/
https://x.com/graviti_ai
https://www.linkedin.com/company/graviti-ai
