List of Cohere AI Customers
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Since 2010, our global team of researchers has been studying Cohere AI customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Cohere AI for Generative AI Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Cohere AI for Generative AI Platforms include: Fujitsu, a Japan based Manufacturing organisation with 113000 employees and revenues of $23.44 billion, Notion, a United States based Communications organisation with 900 employees and revenues of $500.0 million, Cohere, a Canada based Professional Services organisation with 450 employees and revenues of $35.0 million, Atomicwork Software India, a India based Professional Services organisation with 100 employees and revenues of $10.0 million and many others.
Contact us if you need a completed and verified list of companies using Cohere AI, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Cohere AI customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Atomicwork Software India | Professional Services | 100 | $10M | India | Cohere | Cohere AI | Generative AI Platforms | 2024 | n/a |
In 2024, Atomicwork Software India implemented Cohere AI to create Atom AI, a digital IT support assistant for enterprise customers in the United States. The Cohere AI deployment is categorized under Generative AI Platforms and was scoped to ITSM and digital workplace support use cases.
Atomicwork built Atom AI using Cohere Command R+ and Rerank to provide retrieval augmented responses and ranked candidate answers, combining conversational query handling with knowledge retrieval. Functional capabilities implemented include conversational ticket triage, contextual answer synthesis, and automated answer reranking to improve response relevance.
The implementation integrates with IT service management systems and collaboration tools to enable employee self-service across the digital workplace, and it is operationally focused on IT support and digital workplace teams serving U.S. enterprise customers. Deployments emphasized low latency response paths and automated routing into downstream IT workflows consistent with Generative AI Platforms operational patterns.
Governance and rollout emphasized model orchestration and answer validation to maintain response quality, and the public launch cited measurable gains in improved answer accuracy and reduced latency enabling faster, higher-quality IT support and greater employee self-service. The program aligns Atomicwork Software India Cohere AI Generative AI Platforms with centralized conversational support workflows in IT service management and digital workplace functions.
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Cohere | Professional Services | 450 | $35M | Canada | Cohere | Cohere AI | Generative AI Platforms | 2024 | n/a |
In 2024, Cohere implemented Cohere AI as a Generative AI Platforms deployment to augment professional services workflows. Cohere AI was provisioned to support knowledge management, proposal generation, automated client deliverables, and internal productivity use cases, positioning Cohere AI as the Generative AI Platforms solution for the company’s Professional Services business functions.
The implementation concentrated on platform capabilities typical of Generative AI Platforms, including hosted model deployment, embeddings and vector search enabled retrieval augmented generation, prompt management and orchestration, inference APIs, SDKs for developer integration, model versioning, and experiment tracking. Configuration work emphasized API driven access, usage monitoring and observability for model calls, and managed data ingestion pipelines for document and knowledge base indexing and retrieval.
Governance and operationalization established role based access controls, API key and quota management, and documented model governance and prompt engineering workflows to guide consultant usage. Rollout followed a staged approach with initial delivery to consulting and delivery teams, accompanied by training on safe prompt practices and review gates for client facing outputs, while aligning operational ownership with existing product and delivery managers.
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Fujitsu | Manufacturing | 113000 | $23.4B | Japan | Cohere | Cohere AI | Generative AI Platforms | 2024 | n/a |
In 2024, Fujitsu co-developed the enterprise Japanese LLM Takane with Cohere and provisioned Cohere AI as a Generative AI Platforms capability designed for secure private cloud capable deployments. The joint solution targeted regulated industries including finance, government, and healthcare in Japan and globally, emphasizing Japanese language performance and enterprise readiness.
The implementation was delivered through Fujitsu DI PaaS, with configuration focused on model specialization for Japanese language tasks, fine tuning for domain specific accuracy, and runtime orchestration for private cloud hosting. Cohere AI was adapted to support enterprise operational features such as role based access controls, data governance hooks, and deployment controls that align model serving with compliance requirements.
Integrations centered on embedding Takane within Fujitsu DI PaaS to enable seamless inclusion in enterprise workflows, with use cases oriented to document centric processes and compliance oriented review flows. Operational coverage was explicitly targeted at regulated sectors across Japan and international customers, positioning the model for secure, private deployments that respect data residency and regulatory constraints.
Governance and rollout emphasized secure private deployments and compliance centric controls, with Fujitsu delivering Takane via its DI PaaS to ensure managed access and adherence to enterprise policies. The joint effort with Cohere aimed to improve accuracy and compliance for enterprise workflows, reflecting an enterprise focused instance of Cohere AI within the Generative AI Platforms category.
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Notion | Communications | 900 | $500M | United States | Cohere | Cohere AI | Generative AI Platforms | 2024 | n/a |
In 2024 Notion integrated Cohere AI into its workspace search to improve relevance and reduce reliance on embeddings, using the Generative AI Platforms offering from Cohere. The integration targeted search and knowledge management within Notion workspaces and was positioned to improve result precision and operational efficiency across global workspaces, including in the United States and other regions.
The implementation centered on Cohere Rerank as the primary module within Cohere AI, embedding Rerank into Notion's search ranking pipeline to reorder candidate results rather than relying on full embedding storage for retrieval. Configuration work focused on invoking Rerank after initial candidate generation, tuning relevance signals, and reducing persistent embedding storage to lower operational cost and storage footprint.
Architecturally the deployment scaled Rerank inference via Amazon SageMaker, integrating Cohere AI inference endpoints with Notion's existing search service and knowledge management workflows. The technical integration emphasized run-time ranking calls to Cohere Rerank, keeping heavy vector storage local to minimal necessary indices while offloading ranking compute to SageMaker for operational scalability.
Governance and operational scope included instrumenting the search pipeline for iterative tuning and monitoring relevance, and applying the change across Notion workspaces used by teams for knowledge management. The project delivered faster, more precise search results and achieved operational cost savings by avoiding heavy embedding storage, outcomes reported in the Cohere case study.
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Buyer Intent: Companies Evaluating Cohere AI
- Modern Aviation, a United States based Transportation organization with 210 Employees
- Qli, a United States based Healthcare company with 567 Employees
- Evercore, a United States based Banking and Financial Services organization with 2000 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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