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Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

List of Cohere Command R Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Accenture United States Professional Services 150000 $31.2B United States Cohere Cohere Command R Generative AI Platforms 2024 n/a
In 2024, Accenture United States announced a global collaboration with Cohere that centers on deploying Cohere Command R within the Generative AI Platforms category across industry client workstreams, including targeted engagements in financial services. The announcement frames Cohere Command R as part of the Command family that will power enterprise generative AI solutions alongside Embed and Rerank capabilities, establishing the application as a core model layer for client-facing use cases. Implementation workstreams emphasize retrieval augmented generation and knowledge-agent scenarios, with Cohere Command R configured to drive prompt orchestration and inference while Embed and Rerank provide embedding generation and relevance ordering functions. Configuration patterns described align with standard Generative AI Platforms practices, including vector-based retrieval pipelines, embedding indexing, and reranking steps that sit upstream of model invocation to improve contextual grounding. Deployments are scoped to North America and beyond and target professional services delivery across multiple industry clients. Architecturally these implementations focus on privacy conscious and secure RAG topologies, integrating model inference with client knowledge stores through controlled retrieval pipelines and enforcement of data handling controls to limit exposure of sensitive information. Governance and rollout emphasis includes model governance, access controls, and operational monitoring to support knowledge-agent workflows in regulated sectors. Cohere Command R is positioned as the operational model component within Accenture United States engagements under the Generative AI Platforms category, orchestrated to meet client compliance and data protection requirements while enabling enterprise retrieval and agent capabilities.
McKinsey & Company Professional Services 45000 $15.0B United States Cohere Cohere Command R Generative AI Platforms 2023 n/a
In 2023, McKinsey & Company deployed Cohere Command R as part of a collaboration with Cohere to help clients adopt generative AI. McKinsey implemented Cohere Command R within a program focused on client-facing solution development, using the Generative AI Platforms capability set to support customer engagement, workflow automation, and internal knowledge-management exploration. Cohere Command R was configured to provide instruction-tuned model inference, embeddings-based semantic search, and retrieval-augmented generation workflows, combined with prompt engineering and model customization typical of Generative AI Platforms. Implementation narratives describe use of the Cohere Command R application to assemble conversation agents, content generation pipelines, and automated workflow triggers that align with client business functions in sales, service, and operations. Deployment used API-first model invocation and model hosting patterns to integrate generated outputs into client solution stacks, with projects spanning financial services, retail and other industry engagements. The engagement also included evaluations of Cohere Command R for McKinsey internal knowledge-management use, positioning the application to support consultative knowledge retrieval and advisor-facing summarization workflows. Governance and rollout were organized as a collaborative client program with Cohere, focused on piloting and co-developing customized solutions and adoption support, rather than a packaged product rollout. The partnership is described as serving clients across financial services, retail and other regions, with McKinsey applying Cohere Command R to accelerate generative AI solution delivery and internal knowledge experimentation.
Scale AI Professional Services 450 $70M United States Cohere Cohere Command R Generative AI Platforms 2024 n/a
In 2024, Scale AI integrated Cohere Command R into its GenAI Platform to power customer support and knowledge-management applications, using the Generative AI Platforms capabilities to operationalize retrieval-augmented generation workflows in the United States. Cohere Command R was adopted as the primary model layer for retrieval-augmented generation tasks, enabling unified handling of document retrieval, contextual grounding, and natural language response synthesis within Scale AI’s platform. The implementation centered on standard RAG functional modules including an indexing and retrieval layer, embedding generation, and response synthesis orchestration that executes model inference with contextual retrieval. Cohere Command R was used to drive the response generation module while the platform maintained separate pipelines for knowledge ingestion and vector indexing, aligning with Generative AI Platforms practices for modular model and data separation. Integration occurred inside Scale AI’s GenAI Platform, with operational coverage focused on customer support teams and knowledge-management workflows across US-based operations. Deployment architecture emphasized model hosting and inference integration into existing support tooling and knowledge stores, with model invocation and retrieval processes embedded into support ticket and KB search flows to surface grounded answers. Governance efforts aligned with application-level controls for retrieval accuracy and prompt orchestration, and the program emphasized cost containment as a stated objective. The engagement explicitly aimed to optimize total cost of ownership while maintaining high performance, using Cohere Command R to balance retrieval-augmented generation quality and operational efficiency for Scale AI’s customer support and knowledge management functions.
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FAQ - APPS RUN THE WORLD Cohere Command R Coverage

Cohere Command R is a Generative AI Platforms solution from Cohere.

Companies worldwide use Cohere Command R, from small firms to large enterprises across 21+ industries.

Organizations such as Accenture United States, McKinsey & Company and Scale AI are recorded users of Cohere Command R for Generative AI Platforms.

Companies using Cohere Command R are most concentrated in Professional Services, with adoption spanning over 21 industries.

Companies using Cohere Command R are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Cohere Command R across Americas, EMEA, and APAC.

Companies using Cohere Command R range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 66.67%.

Customers of Cohere Command R include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Cohere Command R customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Generative AI Platforms.