Startups
Automated intelligence pipelines that scrape, classify, and summarise competitor moves, pricing shifts, and market signals — updated daily without manual research hours.
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Industry overview
AI market research uses language models, web scraping, and classification pipelines to continuously gather and synthesise public competitive data, turning raw signals into structured business intelligence.
At a glance
Founders and product teams spend tens of hours per month on manual competitive research — reading review sites, tracking pricing pages, monitoring job postings for strategic clues. We replace that with automated pipelines: structured scrapers pull data from target sources daily, an LLM layer classifies and summarises it, and results surface in a dashboard or Slack digest your team can act on immediately.
We build scraping and data-collection pipelines in Python, apply classification and summarisation via OpenAI or Anthropic APIs, and store structured intelligence in a queryable database. Outputs include a competitor feature matrix that updates automatically, pricing change alerts, and a weekly AI-generated summary of the most relevant market movements. All data stays in your infrastructure — no third-party SaaS subscriptions required.
Key capabilities
Engagements are scoped to your business context — these are the core capabilities we bring to startups clients.
Structured scrapers for competitor sites, review platforms, and job boards
LLM classification of product features, pricing tiers, and positioning changes
Automated weekly intelligence digest delivered to Slack or email
Competitor feature matrix with version history and trend lines
Alert system for pricing changes, new product launches, and funding events
Queryable intelligence database you own and control
Work with us
Share what you're building — we'll respond within one business day with questions or a proposal outline.
