Introducing Helicone Self-Hosting

Juliette Chevalier· May 5, 2025

You love Helicone's insights into your LLM usage, but your security team doesn't love sending sensitive data to third-party servers.

Today, we're bridging that gap with Helicone Self-Hosting — the same powerful observability platform you rely on, now deployable inside your own infrastructure with a single Docker command.

git clone https://github.com/Helicone/helicone.git

cd helicone/docker

# See your Helicone dashboard in localhost:3000!
docker compose up -d

When Compliance Meets Innovation

You've built incredible AI applications. Helicone's observability platform has been essential for tracking usage, optimizing costs, and improving performance.

But as your applications handle increasingly sensitive data, your security and compliance teams have raised valid concerns:

• Customer financial records can't leave your infrastructure
• Patient healthcare data must remain HIPAA-compliant
• Intellectual property in prompts needs protection
• Regulated industries have strict data residency requirements

While 67% of organizations are now using LLM solutions, those in regulated industries face significant barriers to implementation because of data privacy concerns.

You shouldn't have to choose between powerful observability and compliance. Now you don't have to.

Data Sovereignty in AI Monitoring

We have offered a self-hosting option ever since we launched two years ago - but it has become clear we needed a simpler set up.

After a month of engineering work, we reduced twelve containers into four and made it incredibly easy to clone, compose, deploy, and scale.

Why Self-Hosted LLM Observability Is Key for Compliance-Focused Organizations

Self-hosted LLM observability offers enhanced security, flexible customization, greater control over data, and potential cost savings compared to other cloud-hosted solutions.

By self-hosting your own observability tools, you are able to manage your own infrastructure and store your own data - ensuring sensitive information remains within your control.

For security-conscious corporations, the benefits of open source AI observability are clear.

1. Complete Data Sovereignty

Keep all LLM interactions, prompt data, and analytics entirely within your security perimeter.

Healthcare organizations processing patient data can maintain HIPAA compliance while still leveraging powerful AI capabilities with comprehensive LLM monitoring.

Host both your tools and data within your infrastructure, integrated to your existing systems, and secured by your own engineering team.

2. Protection of Intellectual Property

When your prompt engineering represents significant competitive advantage, self-hosted LLM observability ensures proprietary prompts never leave your infrastructure.

Especially when hosting your own fine-tuned models, protect your intellectual property by owning your requests, responses, usage-based tracking, and prompt engineering secrets.

3. Customized Integration

Governance-focused conglomerates often have unique security protocols and existing software ecosystems.

Our open source LLM observability platform seamlessly integrates with your internal SSO, logging systems, and existing dashboards so you don't have to change a thing internally.

4. Cost Efficiency at Scale

For protocol-driven companies processing millions of LLM requests daily, the economics of running your own AI observability stack become increasingly favorable compared to per-request pricing models.

What Self-Hosted LLM Observability Looks Like in Practice

Here's how data-sovereign LLM monitoring works with Helicone Self-Hosting:

1. Your application generates an LLM request
2. Your self-hosted Helicone platform logs and monitors the request within your secured infrastructure
3. Your product and analytics teams gain valuable insights without data ever leaving your control

Each component of this open source AI observability solution operates entirely within your security perimeter and infrastructure.

Who Benefits Most from Self-Hosted LLM Observability?

Financial Institutions

Banks and investment firms can maintain data residency requirements while still gaining critical visibility into their AI operations through robust LLM monitoring, ensuring compliance with financial regulations.

Healthcare Providers

Medical organizations can process patient data through LLMs while maintaining HIPAA compliance and other healthcare data protection requirements with secure LLM observability.

Government Agencies

Public sector organizations with strict data sovereignty mandates can implement and monitor LLM solutions without compromising on security protocols using self-hosted LLM observability.

Airlines and Critical Infrastructure

Companies managing essential services can leverage AI while ensuring sensitive operational data remains under their complete control through comprehensive AI observability.

Getting Started with Helicone Self-Hosting

With a single Docker command, privacy-prioritizing institutions can deploy a complete open source LLM observability platform within their existing infrastructure:

This command launches a fully-featured LLM monitoring platform that includes:

• Comprehensive request and response logging
• Performance metrics and analytics
• Cost tracking and optimization tools
• Prompt management and versioning
• Integration capabilities with existing systems
• Authorization and mailer container

The Future of LLM Observability

As sensitive-data stewards continue to incorporate AI into critical operations, the ability to maintain complete control over observability data will become increasingly essential.

Compliance-conscious establishments are discovering that LLM observability isn't just about tracking metrics – it's about improving products, ensuring compliance, and maintaining competitive advantage through sophisticated AI observability.

Ready to take control of your LLM monitoring?

Contact our team today to learn more about how Helicone's open source AI observability can help your organization leverage the power of AI while maintaining the highest standards of data sovereignty and security.

You might find these useful:

• 5 Powerful Techniques to Slash Your LLM Costs
• Complete Guide to Monitoring Local LLMs with Llama and Open WebUI
• How to Test Your LLM Prompts (with Helicone)