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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.

PolyAI

general

Enterprise platform for building voice AI agents

Paid 45 · 38,095 votes

AI Medical Scribe by MarianaAI

general

Transcribe patient visits and auto-generate medical notes

Paid 38 · 64,271 votes

Reach Best

general

AI help for university applications

Paid 38 · 56,344 votes

Questera

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AI agent platform for personalized customer interactions at scale

Paid 37 · 53,890 votes

Looppanel

general

Analyze UX research with AI

Paid 36 · 28,740 votes

iChatWithGPT

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Use ChatGPT directly in iMessage and Siri

Paid 34 · 10,878 votes

ModernQuery

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Add conversational search to your website

Paid 33 · 5,951 votes

Guest Glance

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Screen short-term rental guests with AI

Paid 29 · 447 votes

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.