// security & compliance
Know where
your data goes.
A clear view of how Helmcode processes inference data, where models run and what your security team can review before putting a workload into production.
// data flow
What happens to a request?
The data path depends on the model you choose.
// retention
What Helmcode retains
For Helmcode-operated open models. On a third-party frontier model the provider serving it decides what it retains.
Processed transiently
- Prompt and context
- Model routing and inference
- Completion streamed back to the application
Stored for platform operation
- API key metadata
- Aggregate request and token counters
Not stored
- Prompts
- Completions
- Documents
- Source code
// deployment
Choose where your open-model workloads run.
The same Helmcode inference stack can support different infrastructure requirements.
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Shared EU infrastructure
Managed by Helmcode.
The fastest path to production for workloads that can run on shared European infrastructure.
-
Dedicated
Reserved infrastructure for your organisation or workload.
Use dedicated compute when you require stronger isolation, predictable capacity or custom infrastructure requirements.
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On-premise
Run the Helmcode stack inside your own infrastructure.
For workloads where inference must remain within your network or datacenter.
// controls
Controls built into the platform.
These are the controls that exist today. Where your review needs something that is not on this list, ask, and you will get an answer about what exists rather than a page that implies it.
- Encryption in transit
- TLS 1.3 on API connections.
- Scoped API keys
- Keys are managed at workspace level and can be revoked from the Helmcode console.
- Per-key controls
- RPM and concurrency limits can be configured per API key.
- Network isolation
- Dedicated and on-premise environments support isolated deployments.
- Zero inference-content logs
- Prompts and completions for Helmcode-operated open models are processed in memory and discarded.
- No training on customer data
- Customer prompts, documents and source code do not enter Helmcode training datasets.
// documentation
Give your security team the evidence.
You shouldn't have to evaluate an infrastructure provider from marketing claims alone.
For enterprise evaluations, Helmcode can provide the documentation required for a deeper technical, legal and procurement review.
Request the Enterprise Security Pack-
Data Processing Agreement
GDPR DPA available for review.
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Security Overview
Architecture, controls and data-flow documentation.
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Subprocessor information
The parties involved in service delivery and where they operate.
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Architecture & Data Flow
A technical view of how requests move through the Helmcode stack.
Need a deeper review?
Data Processing AgreementSecurity OverviewSubprocessor informationArchitecture & Data Flow
Request the Enterprise Security Pack// direct line
Questions about any of this?
Write to Pedro. He handles enterprise evaluations and answers the technical, security and commercial questions himself.
// get started
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