Your AI is Only as Good as
Your Secret Data.
Generic models rely on public internet data. We build tools that capture unique, hard-to-get data to become your business moat.
The "Public Data" Trap
The Consensus: Everyone has access to GPT-4, Llama 3, and Claude. If you build your business solely on these wrappers, you have no competitive advantage.
"Vibe coding" projects often fail because they assume the LLM "knows enough". It doesn't. It doesn't know your specific market nuance, your internal documents, or real-time competitor pricing.
To win, you need Proprietary Data—information that exists in the real world but isn't neatly packaged in a dataset.
What You Are Missing:
- ?Real-time Competitor Pricing & Inventory
- ?Niche market discussions from specialized forums
- ?Internal PDF/Doc knowledge buried in SharePoint
- ?Structuring unstructured customer support logs
- ?Verification of AI-generated assertions
Market Intel for E-Commerce
The Challenge: A direct-to-consumer brand was losing market share because they couldn't react fast enough to competitor price drops. Public datasets were weeks old, and manual checking was too slow.
The Jini Solution: We built a custom "Deep Crawl" system that monitors 500+ unlisted Shopify stores and private forums in real-time. This proprietary data feed now powers their dynamic pricing model, giving them a 24-hour speed advantage.
Custom Data Harvesting
We turn the chaotic web into clean, structured JSON for your models.
We build resilient, ethical scraping bots that navigate login screens, CAPTCHAs, and dynamic JS to gather the precise data you need.
Raw data is noisy. Our automated pipelines clean, deduplicate, and normalize data so your AI doesn't hallucinate on garbage input.
We structure this data into vector databases optimized for Retrieval Augmented Generation (RAG), giving your AI a "second brain".