Defined.ai records 146,251 monthly visits with -21% month-over-month growth and Contact for Pricing pricing. Together AI records 1,645,930 monthly visits with +64.9% growth and Freemium, Paid pricing.
Enterprise AI training data, annotation and evaluation services
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
| Dimension / Metric | | |
|---|---|---|
| Official Domain | definedcrowd.com | together.ai |
| Pricing Model | Contact for Pricing | Freemium, Paid |
| Monthly Visits | 146.25K (146,251) | 1.65M (1,645,930) |
| MoM Traffic Delta | -38.82K (-21%) | +647.75K (+64.9%) |
| Primary Market & Share | 🇺🇸 United States (20.6%) | 🇺🇸 United States (36.3%) |
| Direct Visits / mo | 84.42K | 882.21K |
| User Rating | 4.4 | 4.7 |
| Supported Platforms | Website | Website |
Enterprise AI training data, annotation and evaluation services
A large selection of ready-to-use, ethically sourced datasets across audio, image, video, text and multimodal formats, with advanced filtering and free samples.
Expert-verified labeling for text, audio, image and video using model-first, human-in-the-loop workflows for accuracy and fairness.
High-quality multilingual content for global AI systems, drawing on 500+ languages, dialects and locales.
Global, diverse data collection at scale for training, with privacy and security vetting on every dataset.
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
SpecialistProvides industry-leading proprietary frontier models and enterprise reliability, but completely lacks support for open-weight community models.
SpecialistProvides industry-leading proprietary frontier models and enterprise reliability, but completely lacks support for open-weight community models.
SpecialistRestricts API usage strictly to Gemini models, offering free prototyping tiers but lacking open-source model variety.
SpecialistRestricts API usage strictly to Gemini models, offering free prototyping tiers but lacking open-source model variety.
Aggregates hundreds of models through a single API, offering broader model choice than Together AI's hosted lineup.
Aggregates hundreds of models through a single API, offering broader model choice than Together AI's hosted lineup.
Delivers dramatically faster token generation speeds using custom hardware, though with a more limited model selection.
SpecialistOne API for 1,500+ production-ready generative media models
Free / Open-sourceOpen-source model and dataset hub with one-click online demos
Free / Open-sourceOpen-source model and dataset hub with one-click online demos
Free / Open-sourceStreamlines computer vision dataset annotation and model deployment, but lacks the broad human crowd-sourcing services of Defined.ai.
Free / Open-sourceStreamlines computer vision dataset annotation and model deployment, but lacks the broad human crowd-sourcing services of Defined.ai.
Focuses heavily on deploying custom machine learning models and media generation pipelines alongside standard text LLMs.
Focuses heavily on deploying custom machine learning models and media generation pipelines alongside standard text LLMs.
Free / Open-sourceOpen-source, memory-efficient fine-tuning and local model running
Free / Open-sourceOpen-source, memory-efficient fine-tuning and local model running
SpecialistWeb data infrastructure for scraping, proxies, and AI-ready datasets
SpecialistWeb data infrastructure for scraping, proxies, and AI-ready datasets
Comprehensive enterprise data labeling platform with powerful automation agents, but carries significant pricing overhead for smaller teams.
Comprehensive enterprise data labeling platform with powerful automation agents, but carries significant pricing overhead for smaller teams.
Provides exceptionally fast inference speeds and robust fine-tuning tools, competing directly on open-source model deployment performance.
