Our Mission:
Clean Knowledge, Clear Results
We're building the future of web-based AI knowledge pipelines—where efficiency meets intelligence, and every token counts towards meaningful insights.
The Challenge We're Solving
The biggest threat to AI agents isn't a lack of data—it's too much noise and wasted effort. Traditional approaches either require constant engineering work or drive up costs by processing entire HTML pages.
Engineering Overhead
Ad-hoc crawling scripts are expensive to build and maintain, tying up your team in repetitive tasks for each new site.
Token Waste
Processing raw HTML with LLMs is incredibly expensive, paying for irrelevant content that only hurts extraction quality.
Our Approach
Build Once, Use Forever
Invest upfront in AI-crafted extraction rules that work repeatedly without additional LLM costs.
Prune Early
Remove noise before any AI processing, ensuring minimal token usage and maximum relevance.
Smart Summarization
Only summarize what matters, when it matters, with automatic drift detection.
Core Principles
Efficiency First
We leverage LLMs to develop robust rule sets upfront, then run extractions without LLM calls—drastically cutting costs while maintaining quality.
Version Everything
Every configuration, summary, and rule set is versioned and traceable. Never lose work or start from scratch again.
Future-Ready
From drift detection to forkable workflows, we're building the tools you need for sustainable, scalable knowledge management.