Know how
the world
writes about your brand
As a social media manager, spot viral trends before your competitors even notice.
Media infrastructure to decode the world's noisiest conversations.
As video dominates the internet and conversations go unheard, brands are left in the dark. Meulo turns that overwhelming stream into clear, actionable insight about how you're seen and talked about.
"Your brand is what people say about you when you're not in the room."
New YouTube uploads
Global Internet traffic today on video
Facebook videos watched on mute
The AI platform for transforming raw media into instant brand intelligence.
Meulo ingests streaming, social, and internal media at scale to assemble a real-time knowledge graph of brand interactions. It instantly surfaces clear insights on logo exposure, spoken references, brand sentiment, and potential reputational risks the moment they appear.
Data Sources
Meulo Knowledge Graph
We Built Meulo Because
Brands Deserve Clarity.
Founded by data-obsessed builders, Meulo delivers real-time clarity on how your brand is seen, heard, and felt.
Meulo gives brands real-time visibility into how they're seen, heard, and talked about — across the endless stream of audio and video content.
We do this by transforming raw conversations into a living knowledge graph that spotlights who's talking, what they're saying, and why it matters now.
Our mission is to engineer the world’s first true multimodal signals engine for brands, turning scattered media into structured, actionable insight.
Founding Team
We've spent our careers cracking the toughest problems in livestream video, payments, and cybersecurity. We have deep expertise in building machine learning and agentic AI systems from the ground up and serving them at internet scale.
Shukan Shah
Co-founder & CEO
Shukan engineered Level's first merchant-search and transaction enrichment engines, scaling them to hundreds of thousands of transactions. At Brex, he spearheaded the check-deposit launch, unlocking a new revenue stream in record time. Most recently, he architected Doppel's agent-based threat-detection system, spotting attacks across 100M+ entities every day.
Justin D'Souza
Co-founder & CTO
Justin headed Level's six-engineer Purchase Processing team, architecting a novel multi-purse transaction platform that powered millions in payment volume. At Caffeine, he developed reinforcement learning based recommender systems. He created Doppel's data & machine learning platforms, and designed the detection algorithms that underpin its flagship Domains product.