Why pick one AI
when you can combine them?
Combine makes the models work together and provide one response. Less hallucination, more accuracy.
The problem
Every AI has blind spots.
AI is great at creative writing but sometimes makes stuff up. Some are careful but can be overly cautious. Others know a lot but might miss nuance and many more.
When you rely on just one model, you inherit all its weaknesses.
The solution
Combine.
Query multiple AI models simultaneously, they work together and provide one coherent answer.
The result? Responses that are more accurate, more reliable, and less prone to hallucination.
Why Combine works better.
Our research shows that ensembled responses reduce hallucinations by up to 40% and improve factual accuracy by 25% compared to single-model outputs.
Reduced hallucinations
Working together catches errors that slip through single models.
Faster than you'd think
Parallel processing means minimal latency overhead.
Best of all worlds
Shared knowledge and abilities makes output better.