Superhuman

Transformers and NLP more generally are still nascent in application today but will likely be a crucial wave over the next 5 years. As the models scale and natural language understanding grows stronger one can expect the enterprise to be transformed. Much of the world of an enterprise is effectively pushing around bits of language - legal contracts... See more

Unlike the prior wave of AI startups, there are a clear set of infrastructure-centric companies with broad adoption and rapidly growing usage - this includes OpenAI, Stability.AI, Hugging Face, Weights and Biases, and others. While revenue is lagging usage for a subset of companies in this segment, it is ramping quickly in a manner not atypical for... See more

Anecdotally, we have seen a surprisingly consistent pattern in the financial data of AI companies, with gross margins often in the 50-60% range – well below the 60-80%+ benchmark for comparable SaaS businesses. Early-stage private capital can hide these inefficiencies in the short term, especially as some investors push for growth over profitabilit... See more

Workflow+model startups will win by combining a fine-tuned model with deep customer insight to build an AI-native workflow. These startups will be particularly well-positioned to win in one of the following 3 scenarios:

1. Incumbent saas players do not have legacy workflow dominance in that vertical


2. An AI-native workflow solves the most critical creativ

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