PitchArti

PitchArti came from a recurring problem we observed while working with founders. Pitching is often treated as a one-shot performance, yet founders rarely receive clear or structured feedback on why their pitch worked or failed. When feedback does exist, it is usually vague, subjective, or inconsistent, which makes systematic improvement difficult. This led us to a simple question: what if pitching worked more like practice than performance? PitchArti uses AI to evaluate pitches across dimensions investors typically care about, including clarity, traction, market size, team strength, and narrative. Instead of generic opinions, founders receive structured, actionable feedback they can apply immediately. There is no penalty for trying again. Founders can iterate, resubmit, and improve over time. As the product evolved, our focus shifted from evaluation alone to building a repeatable improvement loop. The goal is not just to score pitches, but to help founders build clarity, confidence, and investor readiness through consistent practice. We would value feedback from this community. What part of pitching have you personally found the most challenging? I am happy to answer any questions in the comments.