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Cohere Embed

Enterprise-grade text embeddings for scalable NLP applications and insights

Venture Funded$226MSeries CIndex VenturesTiger GlobalSection 32
text-embeddingsemantic-searchenterprise-nlpscalable-ml
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About

Cohere Embed provides powerful, scalable text embedding models designed for enterprise NLP use cases, enabling semantic search, recommendation, and classification at scale. Cohere's cloud-native architecture ensures high availability and seamless integration into existing workflows.

This description came from a bulk import and has not yet been checked against the vendor's own page. Treat it as unverified.

Enterprise Readiness

from cataloged data

Not scored. Nobody has checked this entry against Cohere Embed’s own site yet, so the signals below are unverified and we will not turn them into a rating. The breakdown shows what our record holds.

Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityStrong

Flexible deployment: Cloud, Self-Hosted

Integration DepthStrong

8 documented integrations

Proven AdoptionPartial

5 documented use cases

Company MaturityStrong

Founded 2019 · Series C

Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.

Enterprise Use Cases

Semantic search and information retrieval
Customer support automation
Content recommendation engines
Document classification and tagging
Sentiment analysis and market intelligence

Integrations

AWSAzureGoogle CloudSnowflakeDatabricksZapierSlackSalesforce

How Cohere Embed compares

ToolReadinessPricingDeploymentComplianceIntegrations
Cohere EmbedNot scoredEnterpriseCloud, Self-Hosted8
OpenAI EnterpriseNot scoredEnterpriseCloud5
Anthropic Claude59 · EstablishedPaidCloud5
DeepSeekNot scoredFreemiumCloud, Self-Hosted, On-Premise5

Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.

Frequently Asked Questions

What is Cohere Embed used for?

Cohere Embed is enterprise-grade text embeddings for scalable NLP applications and insights. It is commonly used for semantic search and information retrieval, customer support automation, content recommendation engines, and document classification and tagging.

Is Cohere Embed free, and how is it priced?

Cohere Embed uses enterprise pricing, typically a custom quote based on seats, usage, and requirements. Contact the vendor for a quote.

How can Cohere Embed be deployed?

Cohere Embed supports Cloud and Self-Hosted deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.

What does Cohere Embed integrate with?

Cohere Embed documents 8 integrations, including AWS, Azure, Google Cloud, Snowflake, Databricks, and Zapier.

When was Cohere Embed founded?

Cohere Embed was founded in 2019 and has raised $226M in funding.

Is Cohere Embed enterprise-ready?

Based on cataloged data, Cohere Embed has an Enterprise Readiness score of 62/100 (Established tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.

Quick Facts

PricingEnterprise
DeploymentCloud, Self-Hosted
Founded2019
Funding$226M

Procurement

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