The Challenge: AI Can't Understand the Web Yet
AI models like GPT, Claude, and LLaMA are transforming how businesses operate. They answer questions, summarize documents, and power autonomous agents. But their performance is limited by one critical factor: the quality of the content they consume.
And most of today’s content — bloated HTML, poor semantic structure, noisy design — was made for human eyes, not for machines.
“AI won’t get smarter until the web gets cleaner.” — Shiva Ganesh Bellamkonda, Founder at Raidu.
Raidu’s Breakthrough: The First LLM Readability Engine
Raidu, a member of the Intel® Liftoff for Startups program, built a new kind of infrastructure: an engine that evaluates and optimizes web content for machine readability. Their LLM Readability Engine simulates how a language model interprets content — and flags where it will fail.
Key Capabilities:
Token Efficiency Analyzer: Reduces token count for faster, cheaper inference
Semantic Scanner: Detects weak structure in headings, links, and navigation
Context Scorer: Identifies missing depth in key sections
HTML Cleaner: Flags noise like tracking scripts, non-semantic containers, and ad clutter
This tool helps teams prepare their sites, docs, and help centers for AI agents, ensuring better answers, lower latency, and less hallucination.
Scaling with Intel: From Hackathon Demo to AI Cloud Deployment
Raidu’s journey began in an Intel® Liftoff startup community hackathon, where the idea of LLM readability was first prototyped. With promising results, Raidu moved into a deeper collaboration with Intel’s startup enablement engineers.
What Intel Provided:
Access to Intel Tiber AI Cloud to test and scale workloads
Optimization using OpenVINO™ to speed up tokenization and preprocessing
Developer guidance on vectorization and memory-efficient pipelines
Strategic support to simulate LLM performance across use cases
The result? Raidu could now simulate how enterprise-grade LLMs interpret content and test improvements across hundreds of real websites.
“Intel didn’t just help us deploy. They helped us build the engine smarter and faster.” — Shiva shares his hackathon experience.
Real-World Impact: From Developer Tools to Enterprise Readiness
With Intel® Liftoff’s help, Raidu’s tool moved from proof-of-concept to real-world adoption. The engine is now being used by:
SaaS platforms preparing product docs for AI copilots
Enterprises optimizing internal knowledge bases for retrieval
AI developers testing hallucination risks on live websites
Marketing teams designing content for summarization and question-answering
Coming Soon:
A browser extension for live readability checks
A developer API for automated content scoring
An editor plugin for writing AI-optimized web copy
A Readability Score badge to certify machine-friendly sites
Find more details about the engine here: https://leo.raidu.com
Expanding Scope: AI Governance and Secure Model Usage
Beyond readability, Raidu is also tackling shadow AI — the uncontrolled use of generative AI in the workplace. Their second product, built with Intel’s technical support, monitors AI usage across devices, detects prompts, and redacts sensitive data before it reaches a model — all with zero disruption to end users.
Intel’s Contribution:
Optimized real-time redaction for resource-constrained environments
Enabled on-device deployment using Intel’s performance libraries
Supported cross-platform agent design for macOS, Windows, and browser integrations
This platform is now being piloted by fintech and legal teams in regulated markets like India and the UAE.
Final Word: Clean Inputs = Better AI
AI infrastructure isn’t just about chips and models. It’s about the quality of what goes in. Raidu, with backing from the Intel® Liftoff program, built tools that make websites machine-readable, AI usage auditable, and GenAI pipelines production-ready.
Whether it’s scoring your website for RAG compatibility or securing prompt traffic on the edge, Raidu is building the next layer of AI infrastructure — one designed for how LLMs work, not how humans browse.
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I'm a proud team member of the Intel® Liftoff for Startups, an innovative, free virtual program dedicated to accelerating the growth of early-stage AI startups.