Our Mission

AI is transforming how the world learns and accesses information. But there's a problem: every AI model has its own biases, blind spots, and tendency to hallucinate. When students, researchers, and curious minds rely on a single AI for answers, they're getting only one perspective—often without knowing what they're missing.

In education, this is particularly dangerous. A student in rural Indonesia deserves the same quality of information as one in Silicon Valley. A first-generation college student should have access to the same insights as someone with expensive tutors. But if they're all using the same AI model, they're all inheriting the same limitations.

Parka lets you query multiple AI models simultaneously and compare their responses side-by-side. When ChatGPT, Claude, Gemini, Llama, and a dozen other models answer the same question, something powerful happens:

• Hallucinations become obvious when only one model claims something that others contradict
• Bias becomes visible when you see the same question answered from different training perspectives
• Truth emerges from the consensus of multiple independent sources
• Critical thinking develops as users learn to evaluate and compare information

Our AI Synthesis feature goes further: it analyzes all responses to identify points of agreement, highlight contradictions, and give you a confidence score based on model consensus. You don't just get answers—you get verified answers.

We believe everyone deserves access to the best AI tools for learning. That's why we've structured Parka to be accessible:

By aggregating access to multiple AI providers, we can offer capabilities that would cost hundreds of dollars per month if purchased separately. A student can access Claude, GPT-4, Gemini, Llama, and more—all for less than a single subscription to any one of them.

Parka is built by Instant Unicorn, a team passionate about making AI tools more accessible, reliable, and educational. We're based in Los Angeles, California, and we believe the next generation of learners deserves better tools than we had.

We're not trying to replace teachers or traditional education. We're trying to augment it—to give every student a research assistant that shows its work, admits uncertainty, and encourages critical thinking.