Competitive Intelligence — Scrape-to-Insight

From Raw Data to Structured Market Intelligence

A company needed systematic monitoring of its competitors. Manual analysis was time-consuming and inconsistent. T1K built an automated system that scrapes, stores, and analyzes data from 35 competitors — entirely on local infrastructure.

The Challenge

Competitive intelligence requires continuous data collection from many sources, structuring of unstructured data, and analytical processing. Data sensitivity was also high — the information could not leave the company's control or be stored with a third party.

The Solution

T1K built a complete scrape-to-insight pipeline:

Data collection — automated scraping of 35 competitors' digital presence. Local storage — all data stored on their own servers, no third-party exposure. AI analysis — structured processing that transforms raw data into actionable insights and visualizations.

The system runs continuously, building a historical database that enables trend analysis over time.

Results

• 35 competitors under continuous monitoring
• Local data storage — full control, no third-party risk
• AI-driven analysis — automatic structuring and insight generation
• Swedish data sovereignty throughout the entire chain

This case demonstrates T1K's data-first approach in practice: start with data collection and structure, then layer AI analysis on top. The result is a system that delivers ongoing value without manual effort.