All through Avi’s earlier roles at his startups, in addition to his work at fast-growing tech firms Shapeways and Shutterstock, he realized that firms of all sizes have the same drawback in terms of optimizing their conversion funnel: typically, a small group of funnels is anticipated to carry out properly throughout giant cohorts of customers. By definition, each could have common outcomes. Avi received impressed to resolve this drawback with the BurnerPage SaaS platform that leverages generative AI with the objective of driving conversion charges as near 100% as potential.
At LDV Capital, we spend money on folks constructing companies powered by visible applied sciences. We thrive on collaborating with deep tech groups leveraging laptop imaginative and prescient, machine studying, and synthetic intelligence to research visible knowledge. We’re the one enterprise capital agency with this thesis since 2012.
We strongly consider that generative AI as a utility will empower SaaS companies. Huge leap forwards in textual content and picture technology have enabled Avi and the workforce at BurnerPage to comprehend their imaginative and prescient of autonomous and steady net web page conversion optimization and remedy this drawback for 1000’s of technical groups world wide.
For the previous few years, Evan Nisselson, Normal Accomplice at LDV Capital has had common calls with Avi to brainstorm how purposes associated to Avi’s deep tech experience will revolutionize the world as we all know it in the present day and create important worth. The thought of constructing an AI-powered platform that solves the issue each advertising and marketing & product workforce faces every day resonated with Avi essentially the most. Then Avi began BurnerPage to resolve his drawback and to assist remedy the identical drawback that hundreds of thousands of individuals have.
BurnerPage AI platform creates 1000’s of variants by advantage of the dynamic mixtures on the fly and that’s why this platform makes use of the “multi-armed bandit” strategy to testing.
It’s laborious to succeed in the statistical significance when it comes to viewers for each single variant that you’d need in a easy A/B take a look at. As a substitute, their algorithms search for patterns of efficiency in sure variant mixtures, and begin working much more experiments with these patterns.
