What should deep tech (AI, biotech) founders know about validation timelines?
Short Answer
Deep tech validation is slow: AI models require 12-24 months of real-world data, biotech requires 3-7 years of trials, nuclear/advanced materials require 5+ years.
Full Explanation
Deep tech founders often underestimate validation timelines. An AI founder claims "we'll validate our algorithm in 6 months." Reality: training on real production data requires 12+ months to collect sufficient data, and validation requires comparison to competitive baselines or human performance (months of testing). Biotech is slower: Phase 1 trials take 2 years, Phase 2 takes 3 years, Phase 3 takes 2-3 years. Nuclear technology takes 5-10 years of regulatory approval. Founder honesty: "Our AI model improves on-time delivery prediction by 25% in simulation. Real-world validation will take 12-18 months of live data from customers. We're targeting 2027 publication and customer reference win by Q4 2027. This delays revenue but ensures credibility." This is honest about timelines. Claiming "we'll launch in 18 months" for deep tech signals either naivety or dishonesty. Deep tech investors specifically evaluate: do you understand validation timelines? Do you have capital for extended validation (5+ years for some)? Do you have risk mitigation (interim revenue from services, consulting)?
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