# Amazon SageMaker Ground Truth vs V7 Labs

**Leader by Vioscale score:** Amazon SageMaker Ground Truth

| Attribute | Amazon SageMaker Ground Truth | V7 Labs |
|---|---|---|
| **Vioscale score** | 53.6 (54% (medium)) | 33.1 (47% (low)) |
| deployment.options | `{"cloud":true}` | `{"cloud":true}` |
| description.long | A machine learning service that enables organizations to improve generative AI model performance by incorporating human feedback throughout the model lifecycle. It helps transform generic AI models into production-ready solutions optimized for specific business requirements through collaborative fine-tuning, testing, and expert support. | A workflow automation system powered by AI agents that processes complex documents and executes multi-step business processes. It enables teams to automate high-stakes tasks like investment due diligence, compliance review, and document analysis through AI-driven reasoning integrated with existing business tools. |
| features.capabilities | `{"open_source":false,"on_prem_private_cloud":false,"model_assisted_labeling":true}` | - |
| integrations.count | 15 | 15 |
| integrations.list | `[{"name":"Amazon S3"},{"name":"Amazon Redshift"},{"name":"AWS Glue"},{"name":"Amazon Athena"},{"name":"Amazon EMR"},{"name":"Amazon MWAA"},{"name":"JupyterLab"},{"name":"Amazon Bedrock"},{"name":"SageMaker Pipelines"},{"name":"SageMaker Model Monitor"},{"name":"SageMaker Feature Store"},{"name":"SageMaker Data Wrangler"},{"name":"Amazon Q"},{"name":"CloudWatch"},{"name":"CloudTrail"}]` | `[{"name":"Salesforce"},{"name":"Microsoft SharePoint Online"},{"name":"Google Drive"},{"name":"Slack"},{"name":"HubSpot"},{"name":"Notion"},{"name":"Attio"},{"name":"Granola"},{"name":"Linear"},{"name":"Zapier"},{"name":"Make"},{"name":"AWS S3"},{"name":"OpenAI"},{"name":"Claude"},{"name":"Gemini"}]` |
| market.availability | `{"hqCountry":"US","primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"hqCountry":"GB","primaryMarkets":["GB","US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true,"web":true}` |
| pricing | `{"type":"usage","plans":[{"free":true,"name":"SageMaker AI - Pay-as-you-go","summary":"Pay-as-you-go with no upfront commitments. Charges based on compute, storage, and data processing usage.","features":["Instance usage for training and hosting","Storage (EBS volumes, S3)","Data processing jobs","Model deployment","MLOps via SageMaker Pipelines and Model Monitor"],"description":"Usage-based pricing for compute, storage, data processing, and model operations","contactSales":false,"includedLimits":{"free_monthly":"AWS Free Tier for SageMaker notebooks, API requests, and metadata storage"}},{"free":false,"name":"Amazon Q Developer","summary":"Fixed cost per user per month","features":["Code generation and testing","Security scanning","Resource optimization","Data integration support","Natural language query support"],"minSeats":1,"commitment":"monthly","description":"Fixed monthly cost for AI-assisted development and analysis features","contactSales":false},{"free":true,"name":"SageMaker Catalog","summary":"$0.4/GB metadata storage, $10 per 100k API requests, $1.776 per compute unit (beyond free tier)","features":["Metadata storage and management","API requests for data access","Automatic asset ingestion from data sources","Scheduled synchronization","AI-generated business descriptions"],"components":[{"per":{"qty":1,"unit":"GB_metadata"},"kind":"metered","amount":0.4,"period":"month","currency":"USD"},{"per":{"qty":100000,"unit":"requests"},"kind":"metered","amount":10,"period":"month","currency":"USD"},{"per":{"qty":1,"unit":"compute_unit"},"kind":"metered","amount":1.776,"period":"month","currency":"USD"}],"description":"Pay-as-you-go for metadata management, data discovery, and asset ingestion","contactSales":false,"includedLimits":{"api_requests":"4,000 free per month","compute_units":"0.2 free per month","metadata_storage":"20 MB free per month"}}],"summary":"Pay-as-you-go model with no minimum commitment or upfront fees. Free tier included for most components. Amazon Q Developer charged at fixed rate per user/month. SageMaker Catalog charges per GB, API requests, and compute units after free allotment.","currency":"USD","freeTier":true,"sourceUrl":"https://aws.amazon.com/sagemaker/pricing/?nc2=h_pr_sgm","retrievedAt":"2026-08-21T11:11:08.213Z","billingPeriods":["month"]}` | `{"type":"hybrid","summary":"Custom pricing based on: base platform fee, flexible user seat pricing, and pay-as-you-go data/document processing volume. Contact sales for quotes.","freeTier":false,"sourceUrl":"https://www.v7labs.com/pricing","retrievedAt":"2026-08-18T21:40:30.624Z"}` |
| pricing.free_tier | yes | no |
| pricing.model | freemium | commercial |
| pricing.price_level | low | unknown |
| pricing.transparent | yes | no |
| reliability.sla_pct | - | 95 |
| security.disclosure_policy | yes | - |
| security.fedramp | yes | - |
| security.gdpr | yes | yes |
| security.hipaa | yes | yes |
| security.iso27001 | - | yes |
| security.pci | yes | - |
| security.soc2 | - | yes |

## Capabilities (Data Labeling)

| Capability | Amazon SageMaker Ground Truth | V7 Labs |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Model assisted labeling | ✓ | - |
| Programmatic labeling | - | - |
| Rlhf preference data | - | - |
| On prem private cloud | ✗ | - |
| Open source | ✗ | - |
| SOC2 | - | - |

*Source: Vioscale. Generated 2026-09-01T17:44:17.666Z. "-" = undocumented, not absent.*