For software teams with regulated clients
Every AI coding request, checked before it reaches a model.
A gateway between the AI tools your developers already use and the models behind them. Designed to apply your clients' rules to every request, route it to a model you approved, and keep a record your auditors can use.
- From
- IDE · payments-core
- Prompt
- Use ACT/365 day count for CHF accounts
- Context
- interest.ts, config.tsAPI_KEY=[redacted]
- Secret scan1 key found, redacted
- Repository rulepayments-*: self-hosted only
- Modelrouted to self-hosted model
- Audit trailrecorded
The problem
Your clients will ask where their code went.
Banks, insurers and healthcare providers set rules for how their suppliers handle code and data. With most AI coding tools, nothing sits between the developer and the model to apply those rules, or to show afterwards that they were followed.
Which model saw our code?
Did credentials or client data leave the environment?
Under which rule, and who approved it?
How it works
One checkpoint for every request
The gateway is designed as the single path between your developers' tools and the models. Developers keep their editor; the rules live in one place.
Your environment or Swiss-hosted
Developer tools
IDEs and coding agents
HelvetiCode Gateway
- Check
- Route
- Record
Approved models
Self-hosted open models; external only where allowed
Audit trail
Append-only, access-restricted
Check
Before a request reaches any model, it is checked for secrets, repository scope, allowed models and sensitive content. The outcome: allow, redact, reroute or block.
Route
Approved requests go to a model your rules allow: self-hosted open models by default, external models only where permitted.
Record
Each request, decision and model choice is written to an append-only audit trail, ready for your client's audit or your own.
Who it is for
Built for teams whose clients set the rules
Software suppliers to banks and insurers
Show a client which model saw their code, and under which rule.
Healthcare, medtech and pharma software
Keep regulated code and data on models you have approved.
In-house teams in regulated organisations
Give developers AI assistance that your risk function can sign off.
Runs where you decide
Designed to run on-premise or Swiss-hosted, with self-hosted open models, so code stays inside the environment you approved.
Design partnership
What's on your mind?
We are shaping the product with a small number of software teams. If your clients set rules for how you use AI, we would like to hear about them.
Useful to include
- Who your clients are and which rules they set
- Which AI coding tools your team uses today
- What you would need to show in an audit