Emly Labs
generalPlatform for building and deploying AI apps
The ML category is a broad collection of 674 tools that apply machine learning across industries and functions, from healthcare documentation and legal research to user research, code generation, and content creation. It captures AI applications that do not fit cleanly into a single vertical.
Platform for building and deploying AI apps
Legal research and analysis
Streamline user stories, bug tracking, and task management
Write emails in seconds with free AI Chrome extension
Generate 3D models from text, images, or sketches
AI-powered review management that stays on-brand
Monitor and evaluate LLM performance and bias
Thai gambling website directory
Native macOS app for ChatGPT and GPT-4 with Assistant API
Design interior and exterior spaces with AI
AI agents for account-based sales and ABM
Automatically generate accessible image descriptions
Extract vendor, date, and amounts from receipts
Generate detailed travel itineraries in seconds
Live translation and AI speech interpretation
Code review automation
Team collaboration for ChatGPT conversations
Run AI workflows with slash commands
Online photobooth with AI styling options
Use AI anywhere on Mac with keyboard shortcuts
Convert Twitter Spaces to text and summaries
AI running analysis for form and injury prevention
Automated code review for bugs, security, and performance
Vocabulary learning with flashcards in multiple languages
Because this category covers so many domains, browsing by sub-use case is more efficient than scrolling the full list. Tools like Hippo Scribe and SopCreator serve very specific professional workflows, while others like User Evaluation or Userpersona target product and UX teams. The quality bar across the category is uneven: some tools are mature products with enterprise customers, while others are early-stage experiments. When evaluating any tool in this space, look for evidence of actual accuracy and reliability in your specific domain, since ML performance varies dramatically across tasks. Integration depth and data handling are often the deciding factors for business use. Pricing models are diverse, from usage-based API billing to flat-rate SaaS subscriptions. Open-source alternatives exist for many of the underlying tasks, so for teams with technical resources, comparing commercial tools against self-hosted options is worth the effort.