Appen provides human-annotated data services to help organizations build, train, and deploy artificial intelligence models.
Each model independently rates Appen on a 1–5 star scale.
Appen is a well-known AI data annotation company, formerly ASX-listed. It has faced financial difficulties, layoffs, and declining revenue in recent years. Website currently unreachable raises additional concerns.
Appen provides AI data services, but website unreachable raises concerns.
Appen provides AI data annotation services. Its website was unreachable, raising concerns about operational reliability and transparency. Scores reflect limited verifiable information and the caution signal from the website outage.
Established AI data annotation firm with a long track record and major past clients, but recent business instability and worker-complaint controversies weigh on confidence. Not a highly regulated sector; some compliance. Website unreachable now—caution.
Appen is a known provider of AI data annotation services with industry history, but the unreachable website signals potential reliability issues. Limited real-time verification available; scores conservative due to access problems.
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Appen is rated 2.6 out of 5 (“Poor”) on TrustRating, based on 5 independent AI model assessments. The TrustScore combines real customer reviews with AI models that independently assess trust, regulation, support and reputation signals. Always do your own research before making a purchase or investment.
TrustRating doesn't issue scam verdicts — we publish the data instead: Appen scores 2.6 out of 5 (“Poor”) based on 5 independent AI model assessments. Every review passes TrustGuard, our fraud-screening system that blocks fake and paid reviews, so the score reflects genuine customer experience. Read the most recent reviews below before you decide.
Appen currently has a TrustScore of 2.6 out of 5 (“Poor”). The score blends verified customer reviews with assessments from multiple independent AI models, and it updates automatically as new reviews and scans come in. You can read exactly how scores are computed on our methodology page.
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