Cohere Tech Stack

Enterprise AI platform with private deployment and foundation models

Software Development Toronto, Ontario 201–500 employees Founded 2019 Privately Held

Cohere builds foundation models and deployment infrastructure for enterprises that need AI on private infrastructure. The stack reflects dual operating modes: PyTorch + JAX for model research and training, paired with multi-cloud deployment tooling (AWS, GCP, Azure, OCI, Kubernetes). Active hiring skews heavily toward engineering (191 roles) and data (43), with notable security headcount (28), signaling investment in compliance-first infrastructure—a differentiator in regulated industries.

Tech Stack 99 technologies

Core StackPython RAG PyTorch TensorFlow C++ Go React AWS Kubernetes Terraform TypeScript PostgreSQL Docker Redis Salesforce Looker Tableau BigQuery Snowflake TensorFlow Serving JAX OCI GCP Azure SOAR OpenSearch Linear CSV Salesforce CPQ IAM+67 more

AdoptingRAG PyTorch JAX SOAR

What Cohere Is Building

◆Challenges

Improving training throughput
Improving data quality for llm training
Improving token efficiency
Last-mile gap in enterprise ai adoption
Ensuring agent reliability
Security and privacy constraints
Data privacy compliance
Training infrastructure performance
Accurate model evaluation
Speeding up training cycles

▲Active Projects

Supercompute infrastructure research
North ai workspace platform
Training infrastructure tooling
Scalable evaluation tools
Deployment of north in private cloud and on-premises
Audio model serving metrics improvement
Autonomous agents for sensitive enterprise data
Arabic language data annotation for llm training
Embedding and reranker model training
Data pipeline for advanced language models

Hiring Activity

Accelerating370 roles · 120 in 30d

Department

Engineering

191

Data

Security

Research

Marketing

Product

Sales

Finance

Seniority

Senior

209

Mid

Staff

Junior

Manager

Lead

C-Level

Director

Notable leadership hires: Chief Information Security Officer

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About Cohere

Cohere is a Toronto-based foundation model company serving enterprises that require data privacy and deployment flexibility. The product spans three layers: proprietary language models and embedding models trained in-house, a RAG-based platform (North) for private knowledge integration, and deployment infrastructure supporting AWS, GCP, Azure, OCI, and on-premises environments. The company prioritizes security architecture, offering isolated compute, data governance controls, and compliance certifications. Customers are mid-to-enterprise organizations in regulated sectors—financial services, healthcare, government—where model customization and data residency are non-negotiable.

HeadquartersToronto, Ontario

Company Size201–500 employees

Founded2019

Hiring MarketsUnited States, Bulgaria, Canada, United Kingdom, Saudi Arabia, South Korea, United Arab Emirates, France

Frequently Asked Questions

What tech stack does Cohere use?

Core ML stack: PyTorch, TensorFlow, JAX for model training. Deployment: Kubernetes, Docker, Terraform across AWS, GCP, Azure, OCI. Data: PostgreSQL, Redis, Snowflake, BigQuery. Observability: Looker, Tableau. Currently adopting RAG and SOAR for enterprise workflows.

Where is Cohere headquartered and hiring?

Headquarters in Toronto, Ontario. Actively hiring across United States, Canada, United Kingdom, Bulgaria, Saudi Arabia, South Korea, United Arab Emirates, France, Singapore, Japan, and Germany.

How this profile is built

Cohere's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.