Billions are lost and tons of resources get wasted every year on products, campaigns and ideas that miss the mark. Some even trigger public backlash. AiClone.me helps you avoid that.
Our AI-powered platform lets you privately test your product, ad, post, or policy on simulated humans who think and behave like real people all without risking your brand, budget or reputation.
With AiClone, you can:
Maximize profit by identifying winners early
Avoid costly misfires before going public
Test sensitive or risky ideas freely - without fear of judgment or consequences
Experiment endlessly - something that's not practical with real people
Cut waste and overproduction - saving money and the planet
Move fast with instant, AI-driven feedback. AiClone lets you explore bold ideas, fine-tune your message and validate what works - all in a consequence-free environment.
More clarity. Less waste. Zero backlash.
Our Story
Hi, I’m Sanjay Kumar, the founder of AiClone.me The idea behind AiClone started with a simple but powerful question: Can artificial intelligence help us better understand how people think and behave? To explore this I began experimenting with AI models in areas known for their complexity and unpredictability - namely the stock market and elections. Over time, AI started surfacing behavioral patterns and directional signals that often aligned closely with real-world outcomes.
In the stock market, the models identified trends and timing cues that reflected actual market behavior. In elections, they picked up on shifts in voter sentiment, demographic patterns, and even victory margins with surprising alignment. These results suggested real promise in using AI to simulate human decision-making in meaningful ways. Encouraged by those insights I scaled a core capability to make it practical for everyday business use and adapted it for a broader more accessible purpose. That led to the creation of AiClone.me a platform where users can test ideas, campaigns and messaging using AI-generated consumers that mimic how real people think and act.
Following are some screenshots that highlight how our AI Forecast model's early stock market predictions aligned with actual events. Recently on Sunday, April 19 2025 3:52pm it correctly predicted that the Stock Market would trend up on Tuesday April 22, 2025. On Sunday, April 6 2025 8:19pm it correctly predicted that the Stock Market would hit bottom on Wednesday, April 9 2025 and the Market hit bottom on Wednesday, April 9 2025. Below that are some more Screenshots that demonstrate how the predictions have aligned with actual events over a period of time.
Building on that I expanded AI's use to election forecasting. The AI didn’t just call the winners; it predicted demographic shifts, victory margins, and trends that aligned closely with reality.
Aiclone.me gives you the tools to innovate, connect and gain a competitive advantage in today’s rapidly changing world.
