Funding · AI & Deep Tech

Fibr AI raises $5.7 million seed round

By Startup Enthusiast · 4 February 2026

What they do

Fibr AI builds an agentic web layer that turns static websites into adaptive systems

It raised a $5.7 million seed round led by Accel, with WillowTree Ventures and MVP Ventures participating

The company has raised $7.5 million total, including a pre-seed round in 2024

Fibr AI raised $5.7 million in a seed round led by Accel.
The total funding to date is $7.5 million, including a pre-seed round.
Participating investors include WillowTree Ventures and MVP Ventures.
Fortune 100 executives also joined as angel investors and advisors.
The company will use the funds to strengthen AI and product capabilities.
It will also expand its customer base and hire across engineering, product, marketing, and sales.

Indian AI startups have raised over $1.8 billion since 2020, with 86% at the application layer.
Fibr AI is part of this broader shift to agentic AI in India.
The company claims it reduces customer acquisition costs by 35-50% and increases engagement up to tenfold.

Fibr AI builds an agentic web experience layer that transforms static websites into adaptive systems.
It embeds autonomous agents into every URL to analyse visitor context and intent in real time.
Its products include Pilot (personalised landing pages for ads, email, SMS) and Blocks (reuse content across formats).
Customers are enterprise clients in financial services, telecom, and healthcare, including Fortune 50 banks.
Clients include ACT Fibernet, Star Health, and D2C brands.
The company primarily serves the US market, with presence in North America, Canada, and India.

Product: Agentic web experience platform that embeds autonomous agents into URLs for real-time personalization.
Customers: Brands and enterprises looking to improve conversion rates and reduce customer acquisition costs.
How it makes money: SaaS subscription for marketing and web experience tools.
What sets it apart: Personalization without traditional A/B testing or manual workflows.