Suprmind runs GPT, Claude, Gemini, Grok and Perplexity inside a single conversation, sequentially rather than side by side: each model reads what the previous ones said, builds on it and challenges what it thinks is wrong. Context Fabric carries the full history and uploaded files across all five, a Knowledge Graph structures project files into shared evidence, and Scribe keeps a living document of decisions, risks and actions as they emerge.
Cross-model fact-checking is a genuinely better answer to hallucination than asking one model to be careful. A model has no reliable access to its own uncertainty, but a different model with different training data will often flag a fabricated citation or a wrong figure immediately, because it simply does not agree. Making disagreement visible is more useful than a confidence score, and it is why the orchestration modes – Debate, Red Team, First Principles – are the product rather than decoration.
Radomir Basta founded it, and the company runs a research lab publishing quarterly benchmarks on hallucination rates and model divergence, which is an unusual thing to commit to publicly. Plans are Spark $19 a month, Pro $45, Frontier $95, Power $195 and custom enterprise, with a seven-day trial and no card. Five models answering sequentially costs five times the tokens and considerably more time, agreement between models is not the same as correctness when they share training data, and the deliverable templates still produce a draft rather than a finished document.
