Continue Enterprise

Your AI. Your advantage.

An open architecture that fits enterprise infrastructure
Get in touch
Customize everything, run anywhere, and build infrastructure that gets better over time.
Standardize the models, rules, and MCP tools used across your organization
Govern coding agent permissions and protect secrets with centralized controls
Use your data to track agent performance and optimize your context engineering
Choice

Customize for the Enterprise

Build coding agents on existing inference infrastructure to define how AI is deployed in your organization
Bring your own API keys for commercial models or use your own LLMs and compute
Discover best practices from other innovators on the Hub and constantly improve your agent
Equip agents working on large code bases with AI policy rules to drive standards and consistency
01
Choose where you run...
Local
Run small models on your laptop, even when you don’t have Internet, using Ollama, LM Studio, llama.cpp, etc.
Self-Hosted
Run open models on your on-premise inference infrastructure using vLLM, NVIDIA NIM, TGI, etc.
Your Cloud
Leverage scalable, managed frontier models offered by AWS Bedrock, GCP Vertex, Azure AI Foundry, etc.
Commercial APIs
Access the latest, most powerful frontier models via the Anthropic API, OpenAI API, Together API, etc.
02
Choose what models you use...
Claude 4 Sonnet
Frontier model with state of the art agentic reasoning and tool use
Qwen3-Coder
Open model with frontier agentic reasoning and tool use
Mercury Coder
Cutting-edge diffusion model for super fast autocomplete
Kimi K2
Open model with frontier agentic reasoning and tool use
03
Choose what to integrate
Rules
Guide agents with rules to improve code comprehension and generation
MCP tools
Enable agents to use tools securely with MCPs and the right permissions
Models
Optimize model selection for the task and environment
Agents
Create the agent needed for a task out of models, rules, and MCP tools
Governance

Enterprise Control & Security

Drive innovation at scale, while retaining control, protecting privacy, and minimizing vendor lock-in
Enterprise SSO integration for secure access to AI agents
Comprehensive logs of all developer activity to track data access and usage across your organization
Query scanning to ensure security standards are adhered with LLM usage
Single Sign-On
Seamlessly integrate with your enterprise identity providers through centralized SSO.
Role-based access control
Implement strong authentication controls that prevent unauthorized tool usage.
Rules-based governance engine
Enforce company-specific coding standards with our powerful rules-based governance engine.
Targeted MCP tools permissions
Grant agents access and permissions to only the MCP tools necessary to complete their task
Comprehensive audit logs
Gain complete visibility with comprehensive audit logs for all developer activities.
VPN-compatible deployment options
Ensure secure access and operation within your existing network infrastructure.
Data

Enterprise Data Platform

Power AI advancement while keeping your code and data securely in your environment.
Deploy the on-premise data plane to maintain secure communication between developers and agents
Leverage development data to monitor AI usage analytics and inform SDLC improvements
Optimize context engineering with development data for more accurate and relevant AI agent performance
01
On-Premise Data Plane
Keep your code and sensitive data within your environment
Manage permissions for agents
Manage firewall and VPN defenses
02
Data-driven development
Track AI usage and effectiveness across all of your codebases
Analyze your team's development patterns and outcomes
Report inference consumption across teams
03
Unique development data
Use developer intervention rates to guide your context engineering
Refine your rules and enhance your MCP tools using your data
Create models customized to you based on your development data
Continue for Teams

Custom AI coding agents in your environment with dedicated enterprise support

Try Continue