Enterprise AI costs are rising sharply due to 'tokenmaxxing' — a pattern where LLMs generate verbose, padded responses to maximize token output and revenue. Starburst, a data intelligence platform, addresses this with an outcome-based AI strategy that measures developer velocity and business impact rather than token volume. Its platform integrates fragmented enterprise data across 200+ systems without moving it, reducing hallucinations and improving AI accuracy. An orchestration layer lets enterprises route tasks to the most cost-appropriate LLM, matching model capability to task complexity to control spending.
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