We build practical automation and intelligence tools for real-world research and business workflows.

Our focus is on systems that turn fragmented public data into structured, usable evidence — without hiding uncertainty behind opaque scores or exaggerated claims.

Product research for TikTok-driven ecommerce.

It combines evidence from:

• TikTok organic videos
• buyer-intent comments
• TikTok Shop
• historical product momentum
• advertising signals
• supplier sourcing
• landed-cost scenarios

The goal is simple: help users investigate a product idea using evidence rather than hype.

Our tools are designed around a few principles:

• evidence before conclusions
• transparent methodology
• conservative matching
• explicit uncertainty
• structured outputs for both humans and automation
• no guaranteed-profit or “winning product” claims

More tools will be added as they are ready for real use.