We're on a mission to revolutionize survey research with AI-powered digital twin simulation technology. Founded by researchers who understand the pain of traditional survey methods, we're building the future of predictive analytics.
To democratize survey simulation technology and make high-quality research accessible to every organization, regardless of size or budget.
We believe that waiting weeks for human responses is an outdated constraint in today's fast-paced world. Our AI-powered digital twins provide 80%+ accurate predictions in minutes, not months.
By focusing specifically on Qualtrics compatibility, we ensure that researchers can leverage their existing investments while gaining access to cutting-edge simulation capabilities.
The principles that guide our product development and customer relationships
Every algorithm and prediction model is validated through extensive academic research and real-world testing to ensure reliability.
We prioritize seamless integration with existing workflows rather than forcing users to adapt to new systems.
We constantly improve our digital twin models and expand Qualtrics compatibility based on user feedback and emerging research.
Advanced research capabilities should be available to academic researchers, small businesses, and large enterprises alike.
We maintain the highest standards for data protection and never share or monetize user survey content.
Our technology is built on peer-reviewed research and we actively contribute to the academic community.
Researchers, engineers, and data scientists passionate about transforming survey methodology
Former Stanford researcher with 10+ years in behavioral economics. Led the original digital twin validation studies that form our technology foundation.
Ex-Google AI engineer specializing in large language models. Built the core simulation engine that achieves 80%+ prediction accuracy.
Social psychology PhD with expertise in survey methodology. Ensures our models reflect real human behavior patterns and demographic diversity.
Former Qualtrics product manager who understands researcher pain points. Leads our user experience and Qualtrics integration efforts.
Enterprise research consultant with 15+ years helping organizations optimize their survey strategies and research workflows.
Full-stack developer focused on platform reliability and scalability. Ensures our cloud infrastructure can handle enterprise-scale simulations.
From academic research to industry-leading survey simulation platform
Dr. Sarah Chen publishes groundbreaking research on digital twin methodology for survey prediction at Stanford University.
Survey Replica AI founded with seed funding to commercialize digital twin research and focus specifically on Qualtrics compatibility.
Private beta launched with 50 academic and enterprise partners. Achieved initial 75% prediction accuracy milestone.
Public platform launch with 80%+ prediction accuracy. Launched community forum and comprehensive resource library.
Expanded to serve Fortune 500 companies. Introduced advanced analytics and API integrations for enterprise workflows.
Have questions about our mission, technology, or career opportunities? We'd love to hear from you.