Enterprise AI models and platforms
Cohere
Cohere builds AI models and applications for enterprises. Command supports chat, retrieval-augmented generation and agents; Embed and Rerank power semantic search and improve result relevance. Its North platform lets teams ground answers in internal data, draft documents and automate workflows. Developers can access models through hosted APIs or Model Vault, which provides dedicated, single-tenant inference. North also supports on-premises and air-gapped deployment, giving organizations options for working with sensitive data.
Founded in Toronto in 2019 by Aidan Gomez, Nick Frosst and Ivan Zhang, Cohere remains led by Gomez as CEO. Its research lab, Cohere Labs, develops multilingual AI through Aya, whose original research model covers 101 languages, including more than 50 previously underserved languages. The lab also contributes Global MMLU, a human-verified benchmark for evaluating models across languages.
Sacra estimates Cohere reached $240 million in annual recurring revenue in 2025. A September 2025 funding extension brought its valuation to $7 billion. Cohere acquired Reliant AI in 2026, adding biomedical datasets and specialized technology for healthcare and biopharma. Its planned combination with Aleph Alpha, announced in April 2026, targets sovereign enterprise AI; Schwarz Group committed €500 million in structured financing for an upcoming funding round.
3 talks
Newest first3 speakers at AIE
Affiliations reflect their AIE appearances, not necessarily current employment.
Start here
- Building enterprise LLM agents that work
Start here for comparisons of agent frameworks, guidance on single-agent versus multi-agent architectures, and approaches to mitigating failures.
Shaan DesaiAI Engineer Summit 2025
- Building SOTA Open Weights Tool Use: The Command R Family
Learn how the Command R family connects retrieval and tool use, with an application toolkit using Next.js and SQL.
Sandra KublikAI Engineer World's Fair 2024
- Cohere for VPs of AI
Use this briefing to compare Command R and Command R+ and understand the roles of embeddings, reranking, citations, and multilingual evaluation.
Vivek MuppallaAI Engineer World's Fair 2024
Messages from the stage
Reliability beyond model selection
Shaan Desai discusses precise tool specifications, human approval for sensitive actions, observability, and golden-set evaluation as parts of building enterprise agents.
Retrieval behavior needs testing
Sandra Kublik examines prompt sensitivity and document-position bias in RAG, alongside KILT benchmarking and multi-step tool use in the Command R family.
Deployment choices extend beyond capabilities
Vivek Muppalla's briefing places model capabilities alongside enterprise data privacy, intellectual-property indemnification, and deployment across clouds, private infrastructure, and on-premises environments.
Affiliations reflect each recorded session, not necessarily current employment.
Company sources · checked 2026-08-28
- About Our Company | Cohere
- Welcome to Cohere
- Newsroom - Press Releases & Press Kit | Cohere
- Research | Cohere Labs
- Cohere and Aleph Alpha join forces to form global AI powerhouse as nations and enterprises demand control over their technology
- Cohere revenue, valuation & funding | Sacra
- Cohere acquires Reliant AI to expand sovereign enterprise AI for the global biopharma and healthcare sectors


