# Scale AI vs Snorkel AI

**Leader by Vioscale score:** Scale AI

| Attribute | Scale AI | Snorkel AI |
|---|---|---|
| **Vioscale score** | 76.1 (45% (low)) | 41.5 (21% (low)) |
| deployment.options | `{"cloud":true}` | `{"cloud":true,"self_hosted":true}` |
| description.long | Platform providing high-quality training data through crowdsourced annotation and data management, rigorous evaluation and red-teaming of AI models, and enterprise software for building, deploying, and monitoring production AI systems. | Snorkel provides tools for building research-grade training data, evaluation systems, and benchmarks tailored to frontier AI models and agents. It uses programmatic data labeling with audit trails, multi-reviewer pipelines, and curriculum-structured datasets to move beyond generic coverage and address domain-specific gaps that generic models struggle with. |
| features.capabilities | `{"soc2":true,"soc2_type_ii":true,"architecture_model":"managed_cloud_saas_platform","rlhf_preference_data":true,"rlhf_and_dpo_preference_alignment_optimization":true}` | `{"soc2_type_ii":true,"pricing_model":"enterprise_annual_license","architecture_model":"managed_cloud_saas_platform","mit_or_apache_permissive_oss_license":false,"flash_attention_and_xformers_compilation":false,"four_bit_and_eight_bit_memory_quantization":false,"native_huggingface_hub_push_pull_integration":false,"weights_and_biases_wandb_experiment_tracking":false,"peft_lora_and_qlora_parameter_efficient_tuning":false,"rlhf_and_dpo_preference_alignment_optimization":false,"serverless_hosting_of_fine_tuned_adapters_lorax":false,"synthetic_data_generation_and_evaluation_pipeline":true,"distributed_multi_gpu_orchestration_fsdp_deepspeed":false}` |
| integrations.count | - | 10 |
| integrations.list | - | `[{"name":"Databricks"},{"name":"Snowflake"},{"name":"Google BigQuery"},{"name":"Amazon S3"},{"name":"Google Cloud Storage"},{"name":"Azure Blob Storage"},{"name":"Azure Active Directory"},{"name":"AWS Secrets Manager"},{"name":"SAML"},{"name":"OIDC"}]` |
| market.availability | `{"hqCountry":"US","primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"hqCountry":"US","primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"web":true}` | `{"web":true}` |
| pricing | `{"type":"hybrid","plans":[{"free":false,"name":"Enterprise","summary":"Contact for pricing","features":["Enterprise-grade quality & SLAs","Access to Data Engine and Enterprise GenAI Platform","Dedicated customer operations support","Data annotation services","Data management","Custom enterprise AI applications"],"description":"Strategic AI initiatives with enterprise-grade quality and SLAs","contactSales":true},{"free":false,"name":"Self-Serve Data Engine","summary":"Pay-as-you-go with free tier","features":["Data annotation and management for ML projects","Quality optimization","Free tier: 10,000 images"],"description":"Pay-as-you-go data annotation and management for experimental or research projects","contactSales":false,"includedLimits":{"images":"10,000 free"}}],"summary":"Enterprise (contact sales) and Self-Serve pay-as-you-go tiers with free tier","currency":"USD","freeTier":true,"sourceUrl":"https://scale.com/pricing","retrievedAt":"2026-08-18T21:42:41.496Z"}` | - |
| pricing.free_tier | yes | - |
| pricing.model | freemium | commercial |
| pricing.price_level | low | - |
| pricing.transparent | yes | - |
| security.disclosure_policy | yes | - |
| security.fedramp | yes | - |
| security.gdpr | yes | yes |
| security.iso27001 | yes | - |
| security.soc2 | yes | yes |

## Capabilities (Fine Tuning Platforms)

| Capability | Scale AI | Snorkel AI |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Architecture model | Managed cloud saas platform | Managed cloud saas platform |
| Peft lora and qlora parameter efficient tuning | - | ✗ |
| Rlhf and dpo preference alignment optimization | ✓ | ✗ |
| Serverless hosting of fine tuned adapters lorax | - | ✗ |
| Four bit and eight bit memory quantization | - | ✗ |
| Flash attention and xformers compilation | - | ✗ |
| Distributed multi GPU orchestration fsdp deepspeed | - | ✗ |
| Synthetic data generation and evaluation pipeline | - | ✓ |
| Native huggingface hub push pull integration | - | ✗ |
| Weights and biases wandb experiment tracking | - | ✗ |
| SOC2 type ii | ✓ | ✓ |
| Mit or apache permissive oss license | - | ✗ |
| Pricing model | - | Enterprise annual license |

*Source: Vioscale. Generated 2026-09-01T16:34:09.970Z. "-" = undocumented, not absent.*