AI Agents Marketplace

What is VUNO? VUNO is a medical AI AI agent offering medical AI for imaging, ECG and vital-sign based early warning in hospitals. Founded in 2014 and based in Seoul, South Korea, VUNO helps hospitals in Korea and globally automate medical AI work and get results faster. Key capabilities of VUNO DeepCARS early warning Chest imaging AI Brain MRI AI AI-ECG Regulatory approvals Clinical workflow integration How VUNO works VUNO takes image, vital signs and ECG data as input and produces insights and alerts. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as PACS, EHR systems, DICOM and HL7 FHIR, so the agent works inside existing workflows. Who uses VUNO? VUNO is built for hospitals in Korea and globally. It suits teams that want DeepCARS early warning and chest imaging AI without adding headcount, while keeping people in control of review and final decisions. VUNO vs Lunit VUNO is often compared with Lunit. VUNO stands out for DeepCARS early warning and brain MRI AI. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is FaceApp? FaceApp is a face editing AI agent offering an AI face editing app that changes age, hairstyles, expressions and makeup in selfies. Founded in 2017 and based in Limassol, Cyprus, FaceApp helps consumers automate AI face editing work and get results faster. Key capabilities of FaceApp Age and gender filters Hairstyle changes Smile and expression edits Retouching One-tap edits Share to social How FaceApp works FaceApp takes image as input and produces image. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as iOS, Android, Instagram and TikTok, so the agent works inside existing workflows. Who uses FaceApp? FaceApp is built for consumers. It suits teams that want age and gender filters and hairstyle changes without adding headcount, while keeping people in control of review and final decisions. FaceApp vs Facetune FaceApp is often compared with Facetune. FaceApp stands out for age and gender filters and smile and expression edits. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Ubie? Ubie is an AI symptom checker AI agent offering an AI symptom checker and medical AI that guides patients to appropriate care. Founded in 2017 and based in Tokyo, Japan, Ubie helps patients and hospitals in Japan and the US automate AI symptom checker work and get results faster. Key capabilities of Ubie AI symptom checker Disease information Hospital AI questionnaire Pharma partnerships Regulatory approvals Clinical workflow integration How Ubie works Ubie takes text as input and produces text and insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as PACS, EHR systems, DICOM and HL7 FHIR, so the agent works inside existing workflows. Who uses Ubie? Ubie is built for patients and hospitals in Japan and the US. It suits teams that want AI symptom checker and disease information without adding headcount, while keeping people in control of review and final decisions. Ubie vs Ada Health Ubie is often compared with Ada Health. Ubie stands out for AI symptom checker and hospital AI questionnaire. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is K Health? K Health is a primary care AI agent offering an AI-powered primary care service that pairs clinical AI with licensed physicians. Founded in 2016 and based in New York, New York, USA, K Health helps patients and health systems automate AI primary care work and get results faster. Key capabilities of K Health AI symptom intake Virtual primary care Chronic care support Clinician-reviewed plans EHR integration Clinician review workflows How K Health works K Health takes text as input and produces text and insights. It is powered by K Health (in-house models) models, with the vendor managing prompts, models and updates. It connects to tools such as Epic, Oracle Health (Cerner), athenahealth and eClinicalWorks, so the agent works inside existing workflows. Who uses K Health? K Health is built for patients and health systems. It suits teams that want AI symptom intake and virtual primary care without adding headcount, while keeping people in control of review and final decisions. K Health vs Ada Health K Health is often compared with Ada Health. K Health stands out for AI symptom intake and chronic care support. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Qlik Answers? Qlik Answers is an agentic AI assistant from Qlik that combines its analytics engine with large language models to answer questions in natural language. It handles both structured analytics data and unstructured content such as documents, PDFs and images, and shows citations for its answers. Key capabilities of Qlik Answers Natural language questions: ask in plain language and get contextual answers Unstructured data Q&A: answers from documents, PDFs and images Analytics integration: uses Qlik analytics apps as a source Citations and explainability: shows sources behind each answer Multi-step reasoning: agentic handling of complex questions Embeddable assistants: standalone or embedded in operational apps How Qlik Answers works Qlik Answers uses retrieval-augmented generation. It searches the knowledge sources and analytics apps you connect through Qlik, then generates an answer grounded in the retrieved content with source citations. The vendor positions it as plug-and-play, deployable in hours rather than months. Who uses Qlik Answers? Business users and analytics teams already on Qlik use it to question reports and document collections without building queries. Developers can embed it in applications. Qlik Answers pricing Qlik does not list a price on the product page. It directs visitors to request a demo or start a free trial. Qlik Answers alternatives Qlik Answers is compared with Snowflake Cortex AI, Sourcetable and Formula Bot. Snowflake Cortex AI works inside the Snowflake data cloud, while Sourcetable and Formula Bot are spreadsheet-centered.

What is Deel AI? Deel AI is the set of AI features inside the Deel global HR and payroll platform. It includes Deel IQ, a natural-language assistant for global work questions, and AI Workforce, a hub for launching and managing AI agents and workflows on Deel. Key capabilities of Deel AI Deel IQ answers: Responds to questions on local legislation, HR practices and workforce data in 150+ countries Workforce data queries: Pulls employee cost data or counts of employees with specific skills AI Workforce hub: Launches, manages and creates AI agents and workflows on the Deel platform Hiring Guru agent: Analyzes role requirements and budgets to recommend countries for hiring PTO Fairy agent: Analyzes time-off requests and flags coverage gaps Border Buddy agent: Checks remote-work compliance by geolocating IP addresses Approval workflows: Supports approving hiring, payroll and IT workflows on Deel How Deel AI works Users ask questions in plain language, such as statutory benefits in a country or PTO entitlements, and Deel IQ replies using Deel data. Press coverage at launch said Deel IQ was built on OpenAI's GPT-4 and drew on a dataset of over 300,000 global worker contracts and a knowledge base curated by about 200 HR experts and lawyers. AI Workforce adds seven prebuilt agents that run inside the platform. Who uses Deel AI? Companies hiring and paying people across borders that already run payroll, HR, IT or benefits on Deel, and HR teams that want faster compliance answers. Deel AI pricing Deel does not publish a separate price for Deel AI on the pages reviewed. The Deel site describes it as part of the platform, so access and cost depend on the Deel products and plan in use. Deel AI alternatives Alternatives include Remote for global employment with its own assistant, Rippling for HR and IT automation, and Oyster for global hiring and payroll.

What is Jules? Jules is an autonomous coding agent from Google that handles routine development tasks such as bug fixes, version bumps, test writing, code review help and feature work. It runs asynchronously, so you assign work and review the result later. Key capabilities of Jules Bug fixing: resolves issues from a prompt or the jules label on GitHub issues Test creation: writes tests for your code Version bumps: routine dependency updates Feature building: implements described features Plan review: shows a plan and a diff for approval before changes GitHub pull requests: approved changes become a PR How Jules works You pick a GitHub repository and branch and give instructions. Jules clones the repo to a cloud VM, builds an execution plan with Gemini, shows a diff for your approval, and turns approved changes into a pull request. The vendor cites Gemini 3 Pro for planning and Gemini 2.5 Pro on the free tier. Who uses Jules? Developers who want to delegate chores to an agent while they focus on higher-value work. Jules pricing Free tier: 15 tasks per day and 3 concurrent tasks. Jules Pro: 100 tasks per day and 15 concurrent. Jules Ultra: 300 tasks per day and 60 concurrent. Dollar prices were not shown on the page reviewed. Jules alternatives Emergent and Base44 build whole apps from chat, Rork targets mobile apps, and Sourcegraph Cody and Qodo are IDE-based assistants and test generators. Jules works asynchronously on your repo.

What is Scrapybara? Scrapybara is a computer use sandboxes AI agent offering virtual desktops and sandboxes that let AI agents operate computers and browsers. Founded in 2024 and based in San Francisco, California, USA, Scrapybara helps developers building computer-use agents automate computer use sandboxes work and get results faster. Key capabilities of Scrapybara Remote desktop instances Computer-use agent SDK Browser and code tools Scaling Developer SDKs Open-source components How Scrapybara works Scrapybara takes screen and text as input and produces actions. It is powered by Anthropic, OpenAI (selectable) models, with the vendor managing prompts, models and updates. It connects to tools such as Python, TypeScript, OpenAI and Anthropic, so the agent works inside existing workflows. Who uses Scrapybara? Scrapybara is built for developers building computer-use agents. It suits teams that want remote desktop instances and computer-use agent SDK without adding headcount, while keeping people in control of review and final decisions. Scrapybara vs E2B Scrapybara is often compared with E2B. Scrapybara stands out for remote desktop instances and browser and code tools. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Navina? Navina is a primary care copilot AI agent offering an AI copilot that turns fragmented patient data into a clear clinical picture for value-based care. Founded in 2018 and based in New York, New York, USA, Navina helps primary care groups in value-based care automate primary care copilot work and get results faster. Key capabilities of Navina Patient data synthesis Risk adjustment Care gap closure Visit preparation EHR integration Clinician review workflows How Navina works Navina takes EHR data and documents as input and produces insights and text. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Epic, Oracle Health (Cerner), athenahealth and eClinicalWorks, so the agent works inside existing workflows. Who uses Navina? Navina is built for primary care groups in value-based care. It suits teams that want patient data synthesis and risk adjustment without adding headcount, while keeping people in control of review and final decisions. Navina vs Pieces Technologies Navina is often compared with Pieces Technologies. Navina stands out for patient data synthesis and care gap closure. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Riffusion? Riffusion is a song generation AI agent offering an AI music generator that creates full songs with vocals from prompts and lyrics. Founded in 2022 and based in San Francisco, California, USA, Riffusion helps creators and music fans automate song generation work and get results faster. Key capabilities of Riffusion Prompt-to-song Lyrics and vocals Remix and extend Compose from audio Royalty-free licensing Stem downloads How Riffusion works Riffusion takes text and audio as input and produces audio. It is powered by Riffusion (in-house models) models, with the vendor managing prompts, models and updates. It connects to tools such as YouTube, TikTok, Spotify and Ableton Live, so the agent works inside existing workflows. Who uses Riffusion? Riffusion is built for creators and music fans. It suits teams that want prompt-to-song and lyrics and vocals without adding headcount, while keeping people in control of review and final decisions. Riffusion vs Suno Riffusion is often compared with Suno. Riffusion stands out for prompt-to-song and remix and extend. The right choice depends on your workflow, integrations and budget, so compare both on a real task.