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Mistral wanted to beat Anthropic. Now it’s becoming Palantir

Sifted 23 July 2026, 05:00 ● Covered by 3 sources

Mistral, the French AI startup, is shifting away from building frontier models and focusing instead on enterprise deployment and customization services. The company's revenue grew 37% year-over-year in 2024, with enterprise and infrastructure revenue reaching 80%, compared to 30% from consumer-facing products. This pivot mirrors the strategy of Palantir, moving from cutting-edge model development toward becoming a software and services company for business customers.

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TLDRocket 23 July 2026

Poolside AI's release of Laguna S 2.1 crystallizes a shift away from scale-at-all-costs. The 118-billion-parameter model, with only 8 billion active parameters per token, achieves 70.2% on Terminal-Bench 2.1 and outperforms Deepseek v4 Pro while costing less than v4 Flash—a direct challenge to the assumption that bigger models always win. Poolside's systematic approach, running 10,000 to 20,000 monthly experiments across fewer than 70 researchers in eight-week cycles, suggests that engineering rigor and data efficiency matter as much as raw compute. This matters because it hints at a possible end to the AI industry's winner-take-all consolidation: smaller teams with disciplined workflows can still build competitive open-weights models.

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Mistral wanted to beat Anthropic. Now it’s becoming Palantir

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