# iMerit vs Prodigy

| Attribute | iMerit | Prodigy |
|---|---|---|
| **Vioscale score** | 68.1 (14% (low)) | 5.6 (15% (low)) |
| deployment.options | `{"cloud":true}` | `{"cloud":true,"on_prem":true,"self_hosted":true}` |
| description.long | Supplies human-annotated training datasets and AI model optimization, specializing in regulated industries and compliance-driven use cases. | Prodigy is a downloadable developer tool that helps teams efficiently annotate training data and build machine learning models. It runs entirely on user infrastructure, integrates with spaCy and other Python libraries, and supports customizable automated workflows and human-in-the-loop annotation processes. |
| features.capabilities | `{"soc2":true,"rlhf_preference_data":true,"model_assisted_labeling":true}` | - |
| integrations.count | - | 3 |
| integrations.list | - | `[{"name":"spaCy"},{"name":"OpenAI"},{"name":"PyTorch"}]` |
| platform.support | `{"web":true}` | `{"cli":true,"web":true}` |
| pricing | - | `{"type":"perpetual","summary":"Lifetime license, pay once, use forever","freeTier":false,"sourceUrl":"https://prodi.gy","retrievedAt":"2026-08-20T12:54:09.466Z"}` |
| pricing.free_tier | - | no |
| pricing.model | commercial | commercial |
| pricing.price_level | - | unknown |
| pricing.transparent | - | no |
| security.hipaa | yes | - |
| security.iso27001 | yes | - |
| security.soc2 | yes | - |

## Capabilities (Data Labeling)

| Capability | iMerit | Prodigy |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Model assisted labeling | ✓ | - |
| Programmatic labeling | - | - |
| Rlhf preference data | ✓ | - |
| On prem private cloud | - | - |
| Open source | - | - |
| SOC2 | ✓ | - |

*Source: Vioscale. Generated 2026-09-01T17:05:23.249Z. "-" = undocumented, not absent.*