Faster delivery with patient data, safety and quality controls kept in place.
Your engineering and digital teams deliver faster for patients and clinicians without loosening a single control. AI agents do the routine work, and every step lands in a record your security, privacy, quality, clinical safety and audit teams can read.
For engineering, digital, security, privacy, quality and clinical safety teams at hospitals, health systems, health technology firms and makers of software as a medical device, in the US, Ireland and the EU.
Where the hours and the risk go.
Safety and quality evidence, written as the work happens.
Device software traced, requirement to release
Each change to device software carries the requirement and risk controls it traces to, linked to its tests and release, to support your IEC 62304, FDA and MDR records.
Hazard logs drafted with each change
Hazard log entries and safety case updates are drafted from every change to a clinical system, so your clinical safety officer reviews them while the change is fresh.
Incident timelines for breach and vigilance
Every incident keeps its timeline in one record, so your teams start from the facts for a HIPAA breach assessment or an MDR vigilance report.
EHR and HL7 integration
Our engineers connect your electronic health record through its APIs and FHIR interfaces, and your integration engine that passes HL7 messages between clinical systems.
Quality evidence packs on request
An AI agent assembles the record for a control, a period, a release or a software version, for a person to check and sign off.
Records for your SBOM
Your approved list of libraries and your image records give your team what it needs to prepare a software bill of materials.
AI kept inside your boundary
One AI workspace with AI models you run and approve, so protected health information never goes to an outside AI service unless your rules allow it.
Every change reviewed twice
A reviewer AI agent on a different model checks each change against its acceptance criteria, and a person decides the merge.
The same week, with JuhJuh.
Alerts from separate monitoring tools wait for someone to correlate them, and the runbook is hard to find at that hour.
The SRE on-call AI agent opens the incident, finds the release behind it and sends the on-call engineer a voice note. She approves the rollback with one tap, and results flow again by 2:31am.
They rebuild what happened from chat logs, tickets and monitoring tools before they can assess it.
They read the timeline in the incident channel, decide under the group's breach assessment process and the decision is recorded with their names.
Someone spends days gathering approvals, releases and access records from several tools.
The quality and compliance evidence AI agent assembles them from the record, and the head of engineering signs them off.
Every role gets time back.
A person approves anything consequential.
What your AI agents never do on their own
- Merge a change or approve their own work. A different AI agent reviews it, and a person decides.
- Make a clinical safety decision, or decide whether software is a medical device or its safety class.
- Release device software under your quality system, deploy to production or roll back without approval.
- Decide whether an incident is a reportable breach or a serious incident.
- Sign off evidence for an auditor, a notified body or a regulator.
- Use an AI model your rules haven't approved, or send anything outside beyond approved answers.
Self-hosted, connected or air-gapped
JuhJuh runs as your own installation in your own cloud account or your own data centre, connected or fully air-gapped. Open-weight models from the Mistral, DeepSeek, GLM and Kimi families run inside it, and public families such as Claude, GPT and Gemini are added only where your rules allow.
Protected health information, clinical trial data, device designs and know-how stay inside that boundary unless you connect an outside service, approve a website for your AI agents or approve sending something out. Our engineers install it with you and stay to build your services, processes and systems into it.
Start with one or two teams.
Talk to us about your organisation, and add the rest of your teams when you're ready. That's the juju.
