Competitive Intelligence Platform
An LLM-powered platform that automates competitor discovery, scoring, and structured insights with dashboards and spider charts.
~$90K
Annual cost reduction
85%
Research manhours reduced
Meet our client
Our client is a technology company building AI-powered tools and intelligence platforms for product and strategy teams operating in the fast-moving AI market.
Context
Our client operates in one of the fastest-moving corners of technology: the AI product market itself. Staying ahead meant knowing what every competitor shipped, priced, and positioned the moment it changed. Their team was doing that by hand, and the market was simply moving faster than people could read.
Challenge
Competitive tracking had outgrown manual research:
- New AI products and feature releases landing almost weekly
- Competitor information scattered across websites, blogs, docs, and release notes
- Manual research producing inconsistent, quickly outdated insight
- No standard framework to compare rivals on pricing, features, security, and positioning
What we did
VentureSEA designed and built an LLM-powered Competitive Intelligence Platform, configurable and explainable by design.
- Built automated acquisition pipelines that continuously crawl competitor sites, product pages, blogs, and public docs
- Used GPT-4o and Claude to extract, summarise, and contextualise findings into structured records
- Created a flexible comparison framework so teams define and adjust their own evaluation dimensions
- Scored competitors with a transparent, criteria-based algorithm and stored results in pgvector for semantic recall
- Visualised everything through Next.js dashboards and spider charts for instant side-by-side comparison
- Built an evaluation harness with curated golden datasets, so every prompt or model change is regression-tested for scoring quality before release
After launch we tuned the scoring logic and improved output consistency and relevance from real stakeholder feedback.
Outcome and impact
- Standardised, up-to-date competitor intelligence
- Faster, data-driven product and positioning decisions
Business value
Before the platform, a small product and strategy team burned close to one full analyst on manual competitor research, call it $90K to $110K a year in loaded cost. An 85% reduction frees most of that capacity for higher-value work, and it shows up again in faster, better-informed product and pricing decisions that are harder to put a number on but worth more.
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