Adni vs Adept AI

Side-by-side comparison of AI visibility scores, market position, and capabilities

Adni

EmergingHealthcare

General

Singapore YC healthcare worker super app with 150K+ verified nurses for peer advice, jobs, and credential management at $1.8M ARR Jul 2025; $1.38M Flare Capital seed with Penn Medicine/MedPro partnerships competing with Doximity for allied health professionals.

AI VisibilityBeta
Overall Score
D38
Category Rank
#987 of 1167
AI Consensus
54%
Trend
stable
Per Platform
ChatGPT
31
Perplexity
35
Gemini
29

About

Adni is a Singapore-headquartered AI-powered super app for healthcare workers — backed by Y Combinator with $1.38 million raised including a $1.25 million seed round in May 2022 from YC, Flare Capital Partners, and Fresco Capital — providing 150,000+ verified nurses and allied healthcare professionals with a unified platform for anonymous peer advice sharing, job discovery, credential management (universal professional profile storing licenses, certifications, and continuing education records), equipment procurement, and community resources, generating $1.8 million in annual revenue as of July 2025 with approximately 32 employees across Asia and North America. Adni partners with leading healthcare organizations including Penn Medicine, MedPro, and PRN Healthcare to provide nurses and allied health workers with the professional tools that their clinical training institutions and hospital employers don't provide.

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Adept AI

EmergingAI Infra

AI Agents

Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.

About

Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.

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