Gen AI

Gen AI-Powered User Insights Platform to Scale AI Performance, Security & Compliance

Gen AI-Driven Platform for Scalable AI Performance, Security & Compliance.

Our Gen AI-powered testing and validation platform helps businesses scale data collection, model training, and real-world validation while ensuring accuracy, security, and compliance. By leveraging crowdsourced user insights, adversarial testing, and automated validation, we empower AI and digital solutions to perform seamlessly in diverse environments. Oprimes assesses Gen AI apps across three key parameters:

Product Quality

User Sentiment

Digital Risk

AI Quality & Performance Assurance

Optimize AI models with real-world, crowdsourced testing and validation:

AI Response Accuracy & Prompt Evaluation
Ensure fast, precise, and contextually relevant AI interactions.
Adversarial Testing & Edge Case Validation
Identify vulnerabilities and weaknesses before they impact users.
Functional & Performance Testing
Optimize across devices, networks, and real-world conditions.
Usability & Input Diversity
Test across multiple languages, cultural contexts, and accessibility needs.
Data Collection at Scale
Gather diverse, real-world datasets to power continuous AI learning.

User Sentiment, Model Training & Validation, and Gen AI Data Annotation Testing

Enhance A2P SMS & voice communications by leveraging crowdsourced feedback from real users

User Sentiment & AI Fine-Tuning
Leverage crowdsourced feedback to refine AI accuracy and improve decision-making.
Bias & Fairness Testing
Detect and eliminate biases for fair, inclusive AI outputs across diverse user groups.
Human Feedback Loop
Integrate real-time human reviews to enhance AI adaptability and continuous learning.
Model Training & Validation
Optimize AI models with large-scale, high-quality datasets and real-world testing.
Data Validation & Annotation
Ensure AI learns from structured, labeled data for better accuracy and reliability.
Multilingual AI Optimization
Adapt AI for global audiences with culturally relevant, linguistically precise outputs.