
Appen
Provides high-quality training data to confidently deploy world-class AI.
Date | Investors | Amount | Round |
---|---|---|---|
investor | €0.0 | round | |
N/A | €0.0 | round | |
* | N/A | $40.2m | Post IPO Equity |
Total Funding | 000k |

AUD | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 |
---|---|---|---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% growth | 23 % | (3 %) | 34 % | (30 %) | (14 %) | 65 % | 10 % |
EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% EBITDA margin | 18 % | 17 % | 2 % | (4 %) | 3 % | - | - |
Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% profit margin | 8 % | 6 % | (62 %) | (43 %) | (9 %) | - | - |
EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article, Equity research estimates
Related Content
Appen is a leading provider of high-quality training data essential for developing and enhancing artificial intelligence (AI) systems. The company specializes in collecting and labeling various types of data, including images, text, speech, audio, and video. This data is crucial for training AI models to perform tasks accurately and efficiently. Appen serves a diverse range of clients, primarily focusing on global technology companies that require reliable data to build cutting-edge AI solutions.
Operating in the AI and machine learning market, Appen has established itself as a trusted partner for organizations aiming to deploy world-class AI systems. The company’s business model revolves around providing data annotation services, which involve tagging and categorizing data so that AI algorithms can learn from it. Appen employs a combination of in-house experts and a vast network of over 1 million flexible contractors worldwide to deliver these services.
Appen generates revenue by charging clients for its data collection and labeling services. The pricing model typically depends on the volume and complexity of the data, as well as the specific requirements of each project. By offering high-quality, reliable training data, Appen enables its clients to develop AI systems that can perform a wide range of functions, from speech recognition to image classification.
The company has received numerous accolades, including the Technology Growth Company of the Year Award in 2017 and recognition as a Deloitte Asia Pacific Technology Fast winner in multiple years. These awards highlight Appen’s rapid growth and significant contributions to the technology sector.
Keywords: AI training data, data annotation, image labeling, speech recognition, machine learning, technology companies, flexible contractors, global reach, award-winning, reliable data.