SpecialistExcels at routing text and multimodal prompts across various providers, but lacks Replicate's dedicated custom ML deployment.

Grably records 1,923 monthly visits with -13% month-over-month growth and Contact for Pricing pricing. Replicate AI records 904,038 monthly visits with -8.4% growth and Paid pricing.

Multi-modal human interaction datasets for AI model training
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | grably.us | replicate.com |
| Pricing Model | Contact for Pricing | Paid |
| Monthly Visits | 1.92K (1,923) | 904.04K (904,038) |
| MoM Traffic Delta |
| -288 (-13%) |
| -82.59K (-8.4%) |
| Primary Market & Share | 🌐 Global (—) | 🇺🇸 United States (16.3%) |
|---|
| Direct Visits / mo | 683 | 577.5K |
|---|
| User Rating | 3.8 | 4.6 |
|---|
| Supported Platforms | Website | Website |
|---|

Multi-modal human interaction datasets for AI model training
Datasets covering image, video, audio, code, text, and conversational interaction for varied model-training needs.
Buyer-scoped datasets with configurable anonymization, filtering, modalities, and delivery formats.
Conversational and text data spanning 100+ languages, including low-resource and underrepresented regions.
Signals that are aligned, annotated, and validated for cross-modality and scientific consistency.

Run, fine-tune, and deploy machine learning models with one line of code
Run image, video, audio, speech, and language models through a uniform API surface, with official models for FLUX, Nano Banana, Seedream, Grok Imagine, MiniMax, Wan, Seedance, and more.
Set up a model in minutes and make an API call in Python, Node, or plain HTTP after authenticating with an API token.
Package your own model with Cog, an open-source tool for packaging machine learning models, and deploy it on dedicated hardware that scales up and down with demand.
Fine-tune models on your own data, including fast-booting fine-tunes that are billed only while actively processing requests rather than for idle time.
SpecialistExcels at routing text and multimodal prompts across various providers, but lacks Replicate's dedicated custom ML deployment.


Faster serverless execution for image and video models, but less generalized custom model deployment than Replicate.
#2
Crowdsourcing data services for AI training and market data
#3
Stronger focus on LLM inference and fine-tuning, but lacks Replicate's diverse community-curated media model catalog.
Free / Open-sourceSpecializes specifically in ultra-efficient model fine-tuning, rather than providing a general-purpose model hosting API.
Offers a broad mix of generative media models via API, but lacks Replicate's massive community deployment ecosystem.
Delivers exceptionally fast inference speeds for open models, but has a narrower model selection than Replicate.

Significantly cheaper pricing for running open-weight models, but offers fewer advanced custom training and deployment features.

Free / Open-sourceOpen infrastructure and one API for generative AI builders

Provides affordable serverless GPU execution and diverse model APIs, but with a less polished developer ecosystem.

Free / Open-sourceServerless, decentralized inference for open-source AI models

Expert human data and evaluation for training frontier AI
SpecialistExcels at routing text and multimodal prompts across various providers, but lacks Replicate's dedicated custom ML deployment.
Faster serverless execution for image and video models, but less generalized custom model deployment than Replicate.
Stronger focus on LLM inference and fine-tuning, but lacks Replicate's diverse community-curated media model catalog.
Free / Open-sourceSpecializes specifically in ultra-efficient model fine-tuning, rather than providing a general-purpose model hosting API.
Offers a broad mix of generative media models via API, but lacks Replicate's massive community deployment ecosystem.
Free / Open-sourceOpen infrastructure and one API for generative AI builders