Get the high-quality training data you need to ensure successful machine learning and artificial intelligence initiatives

How we help

For machine learning-based solutions and systems to work effectively, the algorithms that support them need training data to ensure they are optimized. But not just any data – high quality, human-annotated data. Humans are simply better than computers at managing subjectivity, understanding intent, and coping with ambiguity.

Our global, curated crowd and Appen Global platform allow you to efficiently gather millions of large, high quality datasets and samples in your desired time frame so you can quickly train your machine learning model.

Our secure facilities are ISO 27001 certified and our operation is ISO 9001 accredited so you can rest assured your data will remain protected and quality controlled.

We help you enhance the following solutions

  • Automatic Speech Recognition

    Improve customer interactions with Automatic Speech Recognition systems by training them to better understand human language.

  • Fraud Detection

    Increase fraud detection rates, reduce false positives and minimize losses through systems built with high-quality data sets.

  • Risk Management Models

    Use human insight to improve the quality of the data used in your machine learning-based risk model.

  • Semantic Search

    Improve your semantic search capabilities with training data that provides user intent and context.

  • Text-to-Speech

    Improve customer interactions with TTS systems that are fluent in every language.

  • Virtual Assistants and Chatbots

    Train your virtual assistant or chatbot to better understand and respond to human interaction, driving higher levels of customer satisfaction.

Additional resources

Creating Chatbots and Virtual Assistants That Really Work

Creating Chatbots and Virtual Assistants That Really Work

Chatbots and their more sophisticated counterparts, virtual assistants, have emerged as a key tool to streamline customer service operations for organizations in a wide range of industries, and to help reduce costs.

Illustration of Financial Chart

Using AI to Transform the Banking Experience

At the FinovateSpring 2019 conference in San Francisco, AI was a hot topic. From financial institutions using AI to power everything from personalized customer experiences to underwriting, to fintech providers showcasing AI solutions, the technology was on everyone’s mind. In a panel titled “Which Artificial Intelligence Technologies Will Really Change Financial Services?”, we heard from experts who are harnessing this technology in …

Appen at Deep Learning in Finance Summit

How Deep Learning is Transforming the Insurance Industry

Last week I attended the Deep Learning Finance conference organized by RE•WORK. As the event was smaller compared to many AI conferences I have attended, it had a more casual vibe which allowed for more open conversations about how people are using AI, some of their data challenges, and their overall goals. The insurance industry is transforming through the use …

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