Cohere
Cohere is a Enterprise LLM based in Toronto and SF (Canada / United States), founded around 2019.
Enterprise-focused LLMs and RAG (Command, Embed, Rerank) for secure business search.
Company overview
Cohere competes in the global AI stack as a Enterprise LLM. Buyers typically evaluate them on model quality, price/performance, ecosystem (APIs, cloud regions, developer tools), language coverage, and compliance posture.
- Headquarters: Toronto and SF
- Country / region: Canada / United States
- Founded: 2019
- Category: Enterprise LLM
- Website: https://cohere.com
Strategic strengths – what they are good at
- Enterprise RAG
- Embeddings and rerank
- Secure VPC deploys
- Multilingual business text
How teams usually use Cohere
- Builders / startups: ship product features and agents with the best price-quality tier.
- Enterprise: prioritize SLAs, data residency, IAM, and cloud marketplace integration.
- Researchers / open-source: fine-tune or self-host when open weights exist.
- Creators: use media/voice lines when this company ships image, video, or TTS models.
Evaluation checklist
When comparing Cohere against peers, verify: (1) latest official model cards on your task, (2) real token cost under agent harnesses, (3) latency / TPS, (4) tool-use and computer-use quality, (5) policy and regional availability.
Models from Cohere (2)
Click any model for a full page: specs, benchmarks, pricing signals, strengths, limitations, and when to pick something else.
Benchmarks and prices are directional mid-2026 public/provider figures – re-check official docs before procurement.