Deploy an in-product agent in less than a month
For teams turning an agent prototype into a product customers rely on, CopilotKit Intelligence is the Enterprise Agentic Frontend Stack 50% of the F500 rely on.
- Build self-improving agentic products quickly (learns from usage)
- Using any agent, harness, or platform (and switch easily, anytime)
- Wherever your users are, today and tomorrow (web, native, mobile, Slack, Teams & more)
Build your agent with CopilotKit engineers.
Apply to build with usApply for forward-deployed engineering help. We’ll scope your project on the first call.
Get past the demo. Get into production, fast.
- Future-proof your product for any stack with AG-UI, an industry standard for connecting agents to applications.
- Instead of building AI plumbing and glue, keep your engineers focused on product features while CopilotKit maintains the learning from product interactions by your customers.
- Unique AI analytics enable engineers to see what the customer asked and what the agent did, so your team can decide what to fix.
A practical example
“A customer says the agent never finished their report. Your team can inspect what they asked, which tool the agent called, and the result it received from the LLM, then decide whether to fix the tool or the agent’s instructions.”
Supercharge your agents with rich UI capabilities.
- The full spectrum of generative UI works out of the box - Controlled (useComponent), Declarative (A2UI), Open (openGenerativeUI), Open-ended (MCP-Apps).
- More than static charts – dynamic widgets that update in real time, and interactive elements that enable complex human in-the-loop workflow capabilities.
- Render UI inside and outside of a chat window – fully in-product interaction capabilities
- Rich interactions are captured automatically, and restore with perfect fidelity across sessions – and it works alongside any pre-existing thread implementation.
A practical example
“Your existing threads already save conversations. Monday’s work adds a chart, tool results and interactive state. Automatically record that new interaction in Rich Threads alongside any existing thread implementation, and on Thursday, your product can restore that working context — not just the text transcript.”
Automatically turn in-product interactions into better agent behavior and a superior customer experience.
- CopilotKit identifies repeated corrections and turns them into Skills – reusable instructions for your agent.
- Choose which Skills to publish, and make those updates automatically available to your agents.
- Configure the agent to remember each customer’s preferences automatically, while your team tests and approves Skills before publishing changes across the product. CopilotKit maintains learning for individuals, teams or the company.
- Fixing the misery of doing work is your competitive moat. Customers find all the unforeseen issues with your product as they do their work. Instead of failing, your product steadily surprises and delights your customers with the rapid improvements.
A practical example
“Customers repeatedly correct the expense-review agent: check the policy exception before asking for approval. Learning finds the pattern and proposes a Skill. Your QA reviewer checks the evidence and tests the proposed instruction, then publishes it for the agent to use for everyone. The team has a way to improve recurring behavior, instead of patching one conversation at a time.”
Run everything in your own cloud.
- Deploy anywhere with Helm charts for Kubernetes, or on Amazon ECS with CloudFormation, or on Amazon EKS through the AWS Marketplace.
- Keep all services and stored interaction data on your already-secure infrastructure that your operations team controls.
- Run air-gapped deployments with telemetry disabled and offline licensing—no phoning home to CopilotKit.
- Your customers will be reassured that CopilotKit is SOC 2 Type II compliant. CopilotKit never sees nor needs access to your customer data.
A practical example
“Your security team says customer conversations cannot be stored in a vendor’s cloud. CopilotKit Intelligence runs in your own cloud, with its services and stored interaction data on infrastructure your team controls. Choose the supported deployment option that fits your environment.”
Used by a majority of the Fortune 500 and 60% of the Global 50.
CopilotKit created AG-UI, with support across AWS Strands/Bedrock AgentCore, LangChain/LangGraph, Google ADK and Microsoft Agent Framework.
AWS Strands / Bedrock AgentCore
LangChain / LangGraph
Google ADK
Microsoft Agent Framework
Your product agentBuild your agent with CopilotKit engineers.
Apply to partner with CopilotKit’s best engineers to deploy an agent that does real work with your customers. Fill out the form, speak to a CopilotKit forward deployed engineer and we’ll scope your project in the first call.
Apply to build with us Apply for engineering help. We’ll scope your project on the first call.