AI-Driven Data Infrastructure & Pipelines
Powering smarter decisions, intelligent workflow automation, and data discovery.
What We Do
We engineer large-scale data pipelines and the technology that powers them.
Neural Processing Infrastructure
We build Neural Processing Infrastructure, AI-aware, LLM-agnostic data systems that don’t just move and transform information but understand, enrich, and optimize it for both today’s and tomorrow’s workflows.
Redefining ACID for AI-Ready Data
We redefine ACID not just as a database principle but as a new paradigm for AI-powered data intelligence:
Automated – Self-managing pipelines that track, adapt, and respond in real time.
Contextual – Understanding what data means, not just how it’s structured.
Intelligent – LLM-enhanced metadata that improves data discoverability and insights.
Dynamic – Adapts to schema changes, new data silos, and evolving AI needs.
Currently in the lab
From metadata optimization to classification and advanced analytics. Powering search, discovery, and insight generation across music, media, finance, and beyond.
Quantitative content discovery
Data collection and automated ranking & signal extraction to surface the most relevant insights.
Metric-Based Media Classification & Tagging
Using observed metrics and facts to enable dynamic, data-driven annotation.
Entertainment data to LLM bridge
Structuring enterprise knowledge for LLMs to enable reasoning, automated insight generation, and intelligent query suggestions.
Metadata enrichment with RAG
Enhancing raw datasets with contextual metadata to make enterprise data AI-ready and actionable.
Where Data Meets Intelligence
Data is only as powerful as its context. AI models and automation rely on more than just raw information, they need structured, meaningful data that adapts as systems evolve.We build this intelligence at the metadata layer, enhancing catalogs and data dictionaries to make enterprise data discoverable, contextualized, and AI-ready.
Need smarter data pipelines? Let’s talk.
Data Pipelines on Acid
sayhi@npilabs.com