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Company intelligence / Live profile
Track Cohere's role in the AI economy through Superpower Daily reporting on tools, models, and business. This live company page updates automatically as new launches, partnerships, product moves, and market signals are published.
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The partners will combine Cohere’s AI systems with PwC’s implementation and risk expertise, aiming to scale automation while preserving data control and human judgment.
The enterprise platform combines reusable workflows, model choice and private deployment. Its new controls do not yet come with published performance results or standard pricing.
RCP-nDCG@10 gives previously unjudged documents a fresh assessment. Cohere’s validation favors the approach, but deliberately emphasizes cases where the metrics disagree.
Pro and Fast share an embedding space, so developers can use different models for stored documents and incoming queries. Cohere recommends that split, but its release announcement does not quantify the performance tradeoff.
The newly available Model Vault capability aims to protect data while a model processes it, but customers will need to assess exactly what its attestation evidence covers.
The Cohere CEO supports outside testing of powerful AI systems, but argues that the companies being assessed should not control the standards or the route to compliance.
The design brings production-oriented serving features to a technique often shown in narrow decode tests, but Cohere’s headline results are company-reported and tied to North Mini Code on one H100 configuration.
The new ATE dataset offers a supply-side map of what developers have made available for AI agents, not proof of workplace adoption. Its central finding is less about how many tools exist than which job tasks they reach—and which they leave alone.
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