How does Fibr.ai's AI refine hypothesis generation?
AI Hypothesis Generation
Fibr AI refines hypothesis generation by using a team of AI agents to analyze user behavior and experiment results. Its AI CRO agents — Liv, Max, and Aya — constantly review past data to understand what works and what doesn't. Liv personalizes content based on user behavior, Max helps run experiments, and Aya monitors site performance. As they process more data, they refine their suggestions, making the hypotheses more relevant and impactful. Over time, as the AI learns from each test's outcome, it gets better at generating hypotheses that are specifically tailored to improve conversion rates, saving you time and resources.
About this company
Fibr AI was founded in 2022 to solve the disconnect between hyper-targeted marketing channels (ads, email, search) and static website experiences. The platform combines software infrastructure, AI agents, and human-in-the-loop oversight to create personalized, dynamic web experiences at scale. It enables marketers to build AI-driven landing pages, run continuous experimentation, and personalize experiences based on ads, location, device, behavior, CDP/CRM data, and LLM-sourced traffic. The company is headquartered in Delaware, USA.
Founded 2022. Headquartered in Delaware, USA.
Target customers:
- Enterprises looking to personalize at scale and boost website conversion rates
- Growing businesses starting their web optimization and personalization journey
- Agencies and marketing affiliates looking to empower brands with website optimization