Real-World Impact
AI that's been tested in the real world
The hardest AI problems — hallucination, drift, domain accuracy — solved with human validation at scale.
SUMMARY We conducted large-scale sentiment analysis on 1 million English and French social media phrases for a client-supplied dataset. Native language experts classified each statement as Positive, Neutral, or Negative. The five-month...
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Validating AI Chatbot for Accuracy, Resilience, and Human-Like Interaction
Objective/problem statement An AI chatbot needs to be validated not just for accuracy and relevance of the responses, but also...
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Enhancing Face Recognition Accuracy for a Global AI-Driven Cybersecurity Firm
Client Context A global AI-driven cybersecurity firm was conducting large-scale face recognition trials across multiple countries, demographics, environments, and backgrounds....
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Your AI was built by humans.
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