Industries / Healthcare

Connected devices built to the compliance bar.

Healthcare raises the bar on documentation, security, and traceability. We build connected devices and data pipelines that meet it — and can prove they meet it — from firmware to cloud.

The mandate

You have to prove it, not just do it.

In healthcare, security and traceability aren't features — they're the licence to operate. A device or pipeline that can't show where a reading came from, who touched it, and how it was protected isn't nearly done; it's not startable.

So we build for evidence from the first commit. Every reading is attributable, every access is logged, and data is encrypted in transit and at rest as a default, not a hardening pass.

And the documentation that proves it is generated as we build — so when the compliance review comes, the answer is a folder, not a scramble.

100%Traceable, device to record
EncryptedIn transit and at rest
1 teamFirmware to cloud

Evidence

The evidence we generate as we build.

Not assembled the week before an audit — produced continuously, as part of the work.

Traceability from device to record
Access logs and consent capture
Encryption in transit and at rest
Interoperability via HL7 / FHIR
Threat model and security review
Documentation mapped to the standard

How we approach it

Traceable, device to record.

The chain from a sensor on a device to a row in a clinical record is where trust is won or lost. We make every link attributable and every handoff logged, so a reading can always be traced back to its source — and the security around it can be demonstrated, not just claimed.

  1. 01Attributable readings, end to end
  2. 02Security and encryption designed in from the start
  3. 03Consent and access control on every data path
  4. 04Documentation produced as evidence, continuously
Browser mockup of a healthcare device-fleet compliance console for the fictional Livada Medical: KPIs for 100% traceable readings, 342 of 342 devices encrypted, 1,208 evidence items and 2 open findings; a device table of vitals monitors, infusion telemetry and home gateways with firmware and encryption status, and a panel of continuously generated evidence entries such as traceability checks and signed access-log exports.

How we work

From device to defensible record.

  1. 01

    Scope

    We map the data, the regulatory surface, and what 'traceable' and 'secure' must mean here.

  2. 02

    Build

    Firmware and pipelines built encrypted, attributable, and documented from the first commit.

  3. 03

    Assure

    Security review, traceability checks, and the evidence pack a compliance review needs.

  4. 04

    Operate

    Monitoring, secure updates, and maintained documentation — handed over or run with you.

In the field

342 devices, 100% traceable readings, encryption in transit and at rest — with the evidence generated as the fleet runs.
One reading, five links, 1.5 seconds — device to FHIR record, every hop signed and hash-matched, every access logged.
Ward vitals with provenance attached — the device it came from, the encryption it rode, the record it wrote.
The patient side of the audit trail: consent per data path, and a named, timestamped log of everyone who touched the data.

Proof

How we build to the compliance bar.

The discipline every healthcare build carries.

100%
Traceable, device to record
Secure
By design
Audit
Evidence, continuously
1 team
Firmware to cloud

Questions

What healthcare teams ask us.

  • We build to the documentation, security, and traceability bar the framework demands, and generate the evidence as we go — so the review is a review, not a rebuild.

  • Encryption in transit and at rest is the default, with access control, consent capture, and audit logging on every data path.

  • Yes — we build to interoperability standards like HL7 and FHIR so data flows into the systems clinicians already use.

  • You do. Traceability records, security reviews, and architecture docs are part of the deliverable, maintained as the system evolves.

Building for one of these?

Tell us the constraints — uptime, compliance, field conditions. We'll come back with an architecture that fits.