Fibr AI Secures $7.5 Million in Seed Funding to Build the Agentic Web Experience Platform
Ankur 'AJ' Goyal, CEO & Co-Founder, and Pritam Roy, CPO & Co-Founder
$7.5M to build the agentic web, where every URL becomes an intelligent experience agent
Fibr AI has announced a $7.5 million seed funding round led by Accel, with support from WillowTree Ventures, MVP Ventures, and operator angels. For Fibr AI, this funding is more than capital — it is validation that the future they are building makes sense: a future where websites serve intelligent, adaptive, and contextually aware experiences. It is a chance to reshape the web, taking it beyond the limitations of static pages to a place where every URL is a dynamic, personalized agent that adapts to each visitor in real-time, learning from their interactions, and ultimately driving results.
The challenge we kept running into
Ads, emails, and social are personalized before the click, but the moment someone lands on the website, the experience resets to zero. It stays static and blind to context, unable to tell who the visitor is, why they're there, or what they need. That gap shows up as frustration, broken journeys, missed conversions, and higher customer acquisition costs — even when visitors come from targeted campaigns, AI recommendations, or search. The root cause was not a belief problem but an infrastructure problem: traditional CMS platforms were built for static destinations, not for understanding context, intent, or behavior, and not for a world where traffic includes both humans and AI. In 2025/26, AI-driven crawlers and agents are a meaningful share of visits, and they need precise, structured content and fast responses. That is why Fibr AI was built — to create the Agentic Web Experience Layer, where every URL becomes an autonomous, context-aware agent that adapts in real time, continuously optimizing using behavior, intent, and signals like ad interactions, search history, and AI predictions.
Context that adapts in real time
Fibr AI plugs into the tools teams already use — ads, CDPs, CRMs — and combines those signals with onsite behavior to understand who is visiting, where they came from, their intent, and how they are engaging, all in real time. That lets the site adapt instantly: someone from a Facebook ad may need product clarity, while someone from search may be looking for offers. Fibr AI can rewrite content, adjust visuals, and personalize flows so the experience fits. Under the hood, this runs on context graphs — the nervous system of the Agentic Web. They connect signals from ads, website behavior, CRM data, and custom ML models, linking actions like clicks, searches, and page views to intent using past behavior and external recommendations.
This is what makes Fibr AI able to:
- Identify and label visitors, clustering them into individual or cohort-based segments
- Understand intent through behavior and external signals
- Personalize experiences in real-time by changing content, visuals, and flows
- Learn continuously, improving with every interaction and every visit
The vision: a unified, adaptive experience layer across all channels
Contextual intelligence does not stop at websites. The same framework — context graphs plus real-time learning — can extend across every digital channel, transforming marketing from disconnected tools to one connected system. Today, ads, emails, social media, and customer interactions still operate in silos. Fibr AI bridges that gap by creating a single, intelligent experience layer that spans websites, ads, and email campaigns.
- Ads: Real-time, personalized content based on user intent, past behaviors, and external signals.
- Emails: Dynamically adjusting content based on real-time behaviors, purchase history, and external data, ensuring relevant and timely messages.
- Social Media: Evolving posts and recommendations based on visitor context, ensuring that the right content reaches the right user.
By turning the website into a context-driven model, Fibr AI builds adaptive systems across all digital surfaces so that every interaction feels relevant and personal, not random. By embedding intelligence into every touchpoint across the journey, Fibr AI helps websites, ads, emails, and social media understand and respond to real-time signals, delivering a truly personalized and adaptive experience at every stage.
Impact so far
Fibr AI has already seen real-world success in industries including Banking, Insurance, Healthcare, and Professional Services, with many Fortune 500 companies already engaging with the platform. Every pilot or customer use case run has consistently shown a 20% increase in conversions within the first quarter, proving the ROI of real-time, contextual adaptation.
Thank you to the people behind this
None of this would be possible without the Fibr AI team, whose passion and commitment have been instrumental in bringing the vision to life. Gratitude is also owed to investors at Accel, WillowTree Ventures, and MVP Ventures, whose trust and support are driving the company forward. Early customers who believed in Fibr AI and are already transforming their digital experiences have provided the feedback and partnership that is helping build a truly revolutionary product.
Looking ahead: scaling the Agentic Web Experience Layer
With the $7.5M raised, Fibr AI is scaling contextual intelligence to more industries and enterprises so websites respond in real time. Next up: deeper ad integrations (including OpenAI Ads), stronger analytics ties (such as Adobe Analytics and Google Analytics 4), and broader CMS support — all in service of the next evolution of the Agentic Web. Fibr AI believes websites will not stay static; they will become intelligent, adaptive, always-learning, and truly personalized.
Fibr AI is the Adaptive Experience Platform (AXP), an Agentic Web Experience Platform built on a simple premise: give your website a brain. Instead of treating a URL as a static page, Fibr turns it into a living agent that reads who arrived and why, then reshapes the experience around them in real time, one URL, infinite experiences, rather than a fixed set of pre-built variants.
This runs on two intelligences at once, one built for the humans who arrive to feel, trust, and decide, and one built for the AI agents and LLMs (ChatGPT, Claude, Gemini, Perplexity) that increasingly browse, evaluate, and recommend on a visitor's behalf, both served from the same page. Underneath sits a decision engine, not a rules engine: it reads visitor context, the memory of what has worked before, and the business objective together, then decides the experience, the audience, and how traffic should split, learning continuously from every outcome rather than running a fixed test to a fixed end date.
Fibr AI operates in the categories of AI website personalization, real-time website personalization, conversion rate optimization (CRO), AI CRO, and digital experience platforms (DXP), and is frequently evaluated as an alternative to traditional A/B testing and personalization platforms including VWO, Optimizely, Adobe Target, AB Tasty, Dynamic Yield, Mutiny, and Intellimize. Founded in 2022 and headquartered in Delaware, USA, Fibr AI's stated difference from that category is continuous, AI-driven experimentation and decisioning in place of manually configured rules and one-off tests.
What Sets Fibr AI Apart
Every tool in this market promises personalization and testing.
On the surface they look alike. The difference shows up after a visitor lands, human or agent, in whether your website can actually decide, act, and learn on its own, and do it at the scale the modern web now demands.
There are four things that separate Fibr AI from the rest.
1. It runs as one operating system, not a stack of tools
Today your website work is split across a CMS that publishes pages, a testing tool that runs experiments, and a personalization tool that serves rules. They sit in silos. Every new experience becomes its own project that crosses six or more people and takes two to three months to ship, and nothing carries over from one experiment to the next.
Fibr AI runs the whole thing as a single loop. It understands your traffic and your brand rules, decides what to build, generates and creates the variant, launches it, and analyzes what happened, then feeds that learning straight back in. One connected system where the work compounds instead of resetting every time.
2. It decides. It does not just execute.
Every tool you have today waits for a human to configure it. You set the rules, you pick the audience, you choose the split. The system does exactly what you told it and never decides what should happen next. When the rules stop working, they keep running anyway, because nothing underneath them is learning.
Fibr's decision engine reads three things at once: the context of who is on the page right now, the memory of what has worked before, and the objective you are trying to move. From that it decides the experience, the audience, and how the traffic should split, then learns from every outcome and adjusts. Rules do not run your website. A decision engine does.
3. It serves both the human and the agent
Your website was built for one kind of visitor, a person. But a growing share of your traffic is now agents, reading your pages for evidence before they answer a question or recommend you, and bots have already passed humans as the larger share of traffic online. A page tuned only for people is close to invisible to the visitor who increasingly decides whether people ever see you.
From one URL, Fibr serves two intelligences. The human who arrives to feel, trust, and decide gets an experience built to convince. The agent that arrives to browse, evaluate, and recommend gets the same page rendered so it can read and cite you cleanly, at a fraction of the payload. One surface, two readers, no compromise for either.
4. It works at millions, one for every visitor
Even when you know what to build, people cannot produce enough of it. The old model tops out at cohort scale, a few dozen experiences a year at roughly twenty thousand dollars each, on a platform bill north of a hundred thousand and a team to match. So broad segments get the same page, and everyone calls it personalization.
Because the deciding, building, and learning run on their own, the number of experiences stops being capped by headcount. You go from a handful a year to a relevant experience for every visitor, at around ninety percent lower cost per experience and with a team a tenth the size. Cohort scale becomes one to one, at millions.
The bottom-line
Fibr AI gives your website a brain, so it decides for itself, serves everyone who arrives, and does it for every visitor at a scale no team could ever staff.
Two intelligences, one website, infinite experiences. And everything compounds.