Perspectives on competitive intelligence, AI-generated analysis, and deep-tech market dynamics — from people who've worked in these industries.
Most competitive intelligence systems fail the same way: they solve for coverage when the real problem is structure. The CI Radar is built around the opposite premise — every signal must be classified before it can be useful.
Most competitive intelligence arrives after the signal is obvious — when it's already priced in, already in the earnings call, already in the analyst note. The Flash Alert Engine is built around a different premise: market shifts are visible in correlated weak signals before they surface as consensus.
Six years in deep-tech strategy taught us that the standard CI playbook — spreadsheets, newsletters, and $40K consulting decks — wasn't built for the speed and technical depth that semiconductor, EV, and AI teams actually need.
The consulting report model for competitive intelligence has three structural problems: it takes too long, costs too much, and is designed for the wrong audience. AI-generated reports grounded in live, cited signals are changing the math — for 80% of use cases.
Semiconductors is the hardest industry to track competitive intelligence for — fast cycle times, technical signal density, opaque supply chains, and geopolitical dimensions that most CI tools are completely unprepared for. Here's what a purpose-built radar changes.
Live signal feed, AI analysis, Flash Alerts, War Room Copilot, and on-demand reports — all in one intelligence stack built for deep-tech.