Empowering Global Success:
Your End-to-End AI Training Partner

Overview
Wow AI is your ultimate AI training partner, offering a comprehensive platform for end-to-end AI development. Our platform includes diverse foundation models in NLP, computer vision, and audio, all free to use. We also provide AI data products such as a huge pool of OTS datasets, custom data collection, data labeling services and crowdsourcing services.
About Us
AI Data Products
Swiftly supercharge your AI training with our comprehensive OTS dataset in multiple formats. Featuring over 100,000 hours of diverse audio data, including multilingual real call center interactions, medical dictations, and synthetic audios, as well as an extensive collection of high-quality DICOM-format medical datasets and images. Our rare and budget-friendly data is your key to success in AI projects – explore it today!
Embark on a data journey like no other for your ambitious AI training needs. Wow AI boasts a global network of over 170,000 contributors, ready to craft or collect data that's tailor-made for your project – whether it's text, images, audio, or video in a multitude of languages. Partner with us and redefine what's possible in your AI training endeavors.
Unlock annotation possibilities at scale with our ML-powered platform. Whether it's audio, image, lidar, or text, we provide comprehensive, cost-effective annotation solutions with the power of automation, backed by popular foundation models, and the expertise of our cost effective human-in-the-loop approach, ensuring precision and scalability across all domains.
Empower your crowdsourcing projects with our expansive network of 170,000+ global contributors, spanning diverse backgrounds and proficient in over 120 languages. Whether it's data validation, large-scale data collection, or enhancing search engine accuracy, our crowd stands ready to assist you in any domain.

 

AI Platform
  • 01
    A built-in LLM- Powered
    Data Crawler
  • 02
    One-stop-shop for AI development
    Data curation, auto labeling, auto training, demo
  • 03
    Diverse Pre-Trained and Foundation
    Model Factory
  • 04
    Train or Fine-tune Your LLMs with RLHF
    Global Workforce
  • 05
    Full Control over Security and Privacy
    On Premise or Cloud
  • Your Comprehensive
    AI Platform
     
01 - 06
Watch-on-demand Events
  • 1
    How to create an AI mindset/ AI literacy in a business
    by Andreas Welsch - SAP
  • 2
    Increasing Organizational Maturity by Adopting AI/ML through the End-to-end Lifecycle for Increasing Business Value
    by Ali Arsanjani - Google Cloud
  • 3
    Data Mesh at Practice - How to enable Data Sharing at Scale in Enterprises
    by Patrick Klingler - Mercedes- Benz
  • 4
    Explainability and Ethics in Healthcare AI
    by Patrick Bangert - Searce
  • 5
    AI and Web 3.0
    by Steve Nouri - AI4Diversity , Wand
  • 6
    Challenges and Solutions for Adopting AI & ML in your Enterprise
    Panel Discussion
  • 7
    Epistemic artificial intelligence
    by Prof Fabio - Oxford Brookes, Oxford University
  • 8
    How to build a responsible applied AI at scale
    by Noelle Silver - Accenture
  • 9
    Challenges in Applied Conversational AI
    by Aravind Ganapathiraju - Uniphore
  • 10
    NTIS – A Pathway for Data Innovation and AI in the U.S. Federal Government
    by Dr. Ola Olude-Afolabi - U.S. Dept of Commerce
  • 11
    How to transform a company using AI
    by Camila Manera - LIBRODEPASES
  • 12
    AI Breakthroughs are Far Away? We Need More Augmentation
    by Dr. Jeffrey Funk - NUS
  • 13
    AI applications in the automotive space
    by David Von Dollen - ex Volkswagen
  • 14
    Why need to maintain focus on Data when starting your next AI/ML project
    by Aamar Hussain- ex Microsoft
  • 15
    Generative AI Use Cases and Impact for Enterprises
    by Panelists from Cisco, Qualcomm, SAP, AWS, Oracle
  • 16
    Governance and AI Ethics
    Panel Discussion
01 - 16
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