As advertising and targeting evolve towards greater personalization, websites have remained relatively unchanged. Fibr AI seeks to address this issue by utilizing AI agents to transform standard webpages into individualized experiences tailored to each visitor. This innovative approach has led Accel to significantly increase its investment in the company.
Accel has spearheaded a $5.7 million seed funding round for Fibr AI, following an initial pre-seed investment of $1.8 million in 2024. This latest funding round also saw contributions from WillowTree Ventures and MVP Ventures, along with support from Fortune 100 companies acting as angel investors and advisors, raising the startup's total funding to $7.5 million.
For large corporations, the gap between highly personalized advertisements and generic website interactions has often been bridged by a combination of personalization software, engineering teams, and marketing agencies. This traditional model is often slow, costly, and challenging to scale. While advertisements can be customized instantly for various audiences, modifying the experience once a visitor arrives at a site typically requires extensive coordination and limits teams to a few experiments each year. Fibr AI asserts that this human-centric approach is outdated. Instead, the startup employs autonomous AI agents to interpret visitor intent, create variations, and optimize web pages in real time.
Fibr AI replaces the conventional reliance on agencies and engineering teams with autonomous systems that operate continuously, according to co-founder and CEO Ankur Goyal. "We are the software, and the agency is the workforce of agents we deploy," Goyal explained, emphasizing that this strategy allows Fibr AI to conduct thousands of experiments simultaneously rather than just a few dozen annually.
Initially, adoption was gradual. Founded in early 2023 by Goyal and Pritam Roy, Fibr AI had only a couple of clients during its first two years as enterprises took time to assess this novel approach. However, Goyal noted that interest surged last year among large U.S. companies, particularly in the banking and healthcare sectors, bringing the customer count to 12.
"We are an infrastructure afterthought," Goyal remarked. "Once it's established, organizations prefer not to revisit it." This perspective has led Fibr AI to secure contracts ranging from three to five years with large enterprises, which generally see website infrastructure as something to standardize rather than frequently reassess.
Technically, Fibr AI functions as a layer on top of existing websites, linking to a company's advertising, analytics, and customer data systems to comprehend visitor behavior and preferences. Its AI agents then curate and modify page content, including text, images, and layout, treating each URL as a dynamic system that learns and optimizes continuously. Instead of depending on manually set rules or sequential A/B tests, the platform executes numerous micro-experiments in parallel and systematically updates experiences based on incoming traffic from various channels.
This transformation has significant cost implications for large enterprises. Traditional website personalization typically combines software licenses with agency fees and engineering expenses, linking costs to personnel rather than results. Goyal stated that enterprises are increasingly assessing Fibr AI's platform based on cost per experiment and conversion effectiveness, rather than the number of tools or personnel involved.
For Accel, this operational model--rather than merely the allure of AI--was pivotal in their decision to reinvest. "Advertising today is personalized, but when users arrive at a website, it becomes a one-to-many interaction," noted Prayank Swaroop, a partner at Accel. "You can create numerous ads for different audiences, yet they all arrive at the same page." Fibr's capability to convert that scenario into one-to-one personalization was appealing as it eliminates the bottlenecks typically associated with agencies and engineering.
Swaroop added that early adoption among enterprises, especially in regulated sectors like banking and healthcare, helped validate this approach. "When these conservative industries express a need for this solution and are willing to invest, we gain confidence in doubling down," he said.
Preparing for the Future of Agentic Commerce
While Fibr AI currently focuses on personalizing experiences for human users, both Accel and Fibr AI recognize the potential for AI agents to facilitate online discovery. As users increasingly research and compare products using large language models and AI chatbots before visiting websites, the ability for sites to adapt based on prior knowledge--whether from a visitor or an AI system acting on their behalf--could become increasingly crucial.
"That aspect is still in its infancy," Swaroop remarked, "but we are keen to support companies that are addressing current needs while preparing for future shifts."
With the latest funding, Fibr AI aims to expand its sales and customer support teams in the U.S. while continuing to develop its technical capabilities in India. The San Francisco-based startup also operates an office in Bengaluru, employing 17 of its approximately 23 staff members in India, with the remaining six in the U.S.
Goyal indicated that the startup is targeting about $5 million in annual recurring revenue by year-end and aims to attract around 50 enterprise customers.
Fibr AI is entering a market long dominated by established players like Adobe and Optimizely, which provide experimentation and personalization tools for large enterprises. However, both Goyal and Swaroop contend that these platforms are limited by their foundational structures and sales models, which often rely on marketing agencies and engineering teams for configuration and operation. This traditional approach hampers speed and scalability in experimentation, even as customer acquisition and messaging become more dynamic.
"Incumbents have been slow to innovate," Swaroop noted, adding that even when new features are introduced, they often arrive long after market demand has evolved.