We are the leading provider in three out of the four essential steps of the AI lifecycle, including: 1. Data sourcing, 2. Data preparation, and 4. Real-world model evaluation
Where we don't provide native experience, we integrate with clients and partner with leading model management companies
1 Includes relevance.
Drive growth in target customer segments
Leverage AI and ML in our labelling operations to improve the productivity of our crowd
Expand our TAM by adding new products and capabilities - e.g. Quadrant and synthetic data
Improve the scalability and productivity of our GTM and project delivery
In 2021 Appen celebrated 25 years of operations. The company’s transition from a language data provider to become a leading AI data annotation provider is remarkable. As we continue our journey and prepare for our next growth phase, we are committed to supporting our customers, looking after our employees and crowd, and delivering long-term value for shareholders.
Our technology, processes and systems, combined with our expertise and crowd, enable us to provide data sourcing, data preparation and model evaluation which are essential components of the AI lifecycle.
We recognise that our people are critical to our success. Their expertise and commitment to our customers and crowd is a key differentiator of our business.
Our financial results reflect a record full year revenue performance due to a strong second half performance for Global Services and a higher contribution from New Markets. This reflects the strength of our customer relationships, crowd model and ability to deliver high quality data. The company’s balance sheet remains resilient with a significant cash balance and no debt. We have also reshaped our strategy to maximise our ability to capture growth and deliver value for shareholders.
Our skilled and diverse crowd of over 1 million+ contractors live in more than 170 countries and speak 235 languages. Sourcing and retention of an engaged and productive crowd is key to our ability to serve our customers.
Over 25 years, we have built trusted relationships with our customers and a reputation for service. These relationships are founded on trust, quality, usability, scale, speed and expertise.
Innovation in AI technology can have a positive contribution to the society and the environment. To achieve these outcomes, it is important to ensure responsible business practices are upheld to have a positive impact not only on the end user, but those involved in the development process.