Vertical AI

Purpose-built intelligence: Vertical AI replaces generic LLMs with models trained on industry-specific data (think Harvey for legal or Ambience for healthcare) to solve high-stakes problems.

Generic models hit a ceiling at the 80 percent mark. Vertical AI closes the gap by training on specialized, proprietary datasets: legal briefs, medical records, or architectural blueprints. Companies like Harvey (legal) and Ironclad (contracts) demonstrate this shift. They integrate directly into existing workflows to automate complex tasks with high precision. By focusing on a single domain, these systems reduce hallucinations and handle edge cases that trip up general-purpose bots. This is about depth over breadth (and ROI over hype).

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