Rysana says its V2 AI runs up to 10,000 times faster
Founder John is pitching a multimodal model family around inference speed and structured outputs; Rysana's comparisons use its own benchmark and mid-August API measurements.
By Ryan Merket · Published
Primary source: X
Why it matters
Rysana is selling inference efficiency as a way to make AI products faster and cheaper to run. Its 10,000-times claim is company-reported, and V2 access is gated, so customers will need to test the model on their own tasks before the headline multiplier has practical meaning.
Rysana says its V2 model family can run up to 10,000 times faster and use 1,000 times less energy than conventional AI models, a claim that puts inference cost and latency at the center of the startup's pitch. The company posted the announcement on September 29th, but the measurements it cites on its website compare a July 2026 V2 checkpoint with other models measured in mid-August.