4 tools
Conducts UX research on Omni Calculator users, analyzing their perception of AI's reliability in calculations. Generates reports detailing user insights into AI usability for mathematical operations. Developers, designers, and product managers can utilize this report to better understand user expectations and preferences regarding AI integration in calculators and similar tools. Insights help inform decisions about improving AI functionality or reevaluating its implementation.
Analyzes AI speech patterns to make them sound more like human experts, using natural language processing techniques. Helps developers improve the usability and credibility of AI-powered applications by aligning their voice with that of professionals in relevant fields. Ideal for creating chatbots, virtual assistants, and other automated systems where a human-like tone can enhance user experience and trustworthiness.
Evaluates AI performance in solving everyday math problems, assessing their accuracy and efficiency by presenting them with real-world mathematical scenarios. Users input or upload questions covering various math topics, and the tool automatically grades the AI's responses, providing detailed feedback on areas of strength and improvement needed. Educators, researchers, and developers interested in artificial intelligence and its capabilities in practical applications would benefit from using ORCA Benchmark. It offers a standardized way to compare different AI models' problem-solving skills across diverse mathematical domains, aiding in research, development, and educational evaluation.
Provides an interactive report on AI adoption among US engineers, offering insights into usage rates and trust levels based on a 2026 study. Users can explore detailed statistics, charts, and trends related to AI integration in engineering fields. Engineers and tech professionals interested in understanding the current state of artificial intelligence implementation in their industry would find this tool valuable for staying informed about adoption patterns and public confidence in AI technologies.
