Cohere
Cohere's mission is to scale intelligence to serve humanity by providing a secure, high-performance enterprise AI platform that automates workflows and surfaces insights.
At a Glance
- Financial Services
- Healthcare
- Manufacturing
- Energy
- +2 more
AI Tools by Cohere
(1)
Cohere
Enterprise AI Models Platform
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Latest News
Cohere advances sovereign AI capabilities with NVIDIA
Introducing Rerank 4: Cohere’s most powerful reranker yet
Cohere expands partnership with SAP to provide Europe sovereign AI solutions
Cohere raises $500M at $6.8B valuation to accelerate agentic AI
Products & Services
Family of large language models (including R, R+, and Light) optimized for enterprise use cases like summarization and chat.
Leading text representation models (Embed v3 and Embed 4) for semantic search, clustering, and classification.
Search utility (Rerank 3.5 and Rerank 4) that improves search relevance by re-ordering results from existing search systems.
Turnkey agentic AI platform for workplace productivity, enabling advanced retrieval and workflow automation.
Market Position
Positions itself as a security-first, cloud-agnostic alternative to OpenAI, focusing strictly on enterprise needs and data privacy rather than consumer applications.
Leadership
Founders
Aidan Gomez
Co-founder and CEO. Co-author of the seminal 'Attention is All You Need' paper which introduced the Transformer architecture while at Google Brain.
Nick Frosst
Co-founder. Previously a researcher at Google Brain in Toronto, where he worked under AI pioneer Geoffrey Hinton.
Ivan Zhang
Co-founder. Previously founded FOR.ai, a distributed research lab, and worked with Aidan Gomez at Google Brain.
Executive Team
Aidan Gomez
Co-founder & CEO
Former Google Brain researcher and Transformer co-author.
Martin Kon
President & COO
Former CFO of YouTube and Senior Partner at BCG.
Board of Directors
Founding Story
Aidan Gomez, Nick Frosst, and Ivan Zhang founded Cohere to bridge the gap between AI research and enterprise application, leveraging Gomez's work on the Transformer architecture to build production-ready large language models.
Business Model
Revenue Model
Multi-faceted: Token-based API usage, instance-based hosting (Model Vault), and custom enterprise licenses for agentic platforms.
Pricing Tiers
Command: $1.00/1M input, $2.00/1M output tokens; Embed: $0.10/1M tokens.
Dedicated instances for Embed 4, Rerank 3.5/4 with hourly or monthly rates.
Custom pricing for North, Compass, and private cloud/on-prem deployments.
Target Markets
- Financial Services
- Healthcare
- Manufacturing
- Energy
- Public Sector
- Technology
- Customer service automation
- Internal knowledge search
- Content generation
- Regulatory compliance check
- Semantic search
- Royal Bank of Canada
- Oracle
- Fujitsu
- SentinelOne