AI engineering support for sensitive healthcare environments.
Hospital and health-system software sits next to some of the most protected data there is. NeueCode lets your developers use autonomous AI on internal systems without that code — or its context — leaving your infrastructure.
Why cloud coding agents are hard to approve here
Cloud tools are excellent where cloud is permitted. This sector often cannot permit it.
Patient-data-adjacent code
Schemas, queries, and integration code describe patient data even when no records are attached — sending it to a cloud AI raises questions few privacy officers want to own.
Strict access control culture
Healthcare IT is built on least-privilege access — an AI tool with broad, unaudited reach does not pass review.
Evidence for every change
Clinical-adjacent systems demand traceability: what changed, why, who approved it, and proof the record is intact.
What NeueCode brings
Local processing, end to end
Code analysis, edits, and test runs all execute on your servers with local open-weight models — nothing routes through a vendor cloud.
Controlled code access
Least-privilege checks on every tool call, per-role capability gates, and an admin-curated integration catalog with an instant kill switch.
Human sign-off where it matters
Plan mode and reviewable diffs keep clinicians’ systems in human hands — the agent proposes, your engineers approve.
Audit evidence on demand
The tamper-evident Flight Recorder plus signed per-run manifests give privacy and security teams verifiable answers, not assurances.
Internal apps, faster
Backlogs, migrations, integrations, and test coverage on the internal systems that never get enough engineering time.
Deployable air-gapped
For the most restricted segments, the platform installs and runs with no internet path at all — and strict mode locks internet-reaching apps automatically.
In strict mode, your privacy office gets what cloud AI cannot offer: signed, offline-verifiable proof that nothing left the network.
Read the security architectureStart with a 7-day sovereign AI pilot.
Installed on your server, inside your network, on one test repository — ending with a security review session and exported audit evidence.
See how the pilot works