Deterministic systems for regulated environments

Intelligent Systems for Life-Critical Science & Industrial Automation

Passivia builds autonomous hardware, biomedical computer vision, and AI-driven infrastructure across reproductive healthcare, water desalination, and agri-tech.

Passivia precision robotic instrumentation in a clean engineering environment

Passivia Core Node

Live

Simulated production telemetry stream — refreshed continuously.

  • IVF Watch

    Active Incubator Array #04

    37.00°C

    Temperature

    5.98%

    CO2

  • AutoICSI

    Micro-manipulator Calibration

    0.022μm

    Drift

    241fps

    Vision lock

  • DesalPure

    Osmotic Pressure Matrix

    99.47%

    Membrane efficiency

    96.1%

    Energy recovery

0 sync cycles · deterministic edge inference · 0 dropped frames

40,000 ha

Monitored land under active inference

18,400

Clinical sequences evaluated

18%

Energy reduction in desalination pilot

99.2%

Expert-grading concordance

Why Passivia

Built for consequential environments, not generic workflows.

Bounded performance

Latency and failure behaviour are specified before deployment, then monitored continuously.

Evidence by design

Audit trails, model provenance, and validation records move with every system release.

Human authority

Automation accelerates expert decisions while preserving explicit review and override controls.

Product suite

Four systems, one engineering discipline.

Each platform runs the same edge inference, provenance, and security foundation, tuned to the physics and regulation of its sector. Select a system for its full technical detail.

IVF Watch precision system

IVF Watch

Biotechnology

An in-incubator monitoring system that fuses time-lapse imaging with environmental telemetry to deliver deterministic morphokinetic annotation and deviation alerting without moving patient data off-site.

Architecture

01

In-incubator optics

Sealed multi-focal imaging module with thermal isolation.

02

Edge inference node

Deterministic morphokinetic annotation with bounded latency budget.

03

Environmental telemetry

pH, CO2, O2, temperature and humidity fused into one drift model.

04

Chain-of-custody ledger

Biometric identity bound to every specimen event, tamper-evident.

05

LIS integration

HL7 / FHIR exchange with the clinic information system.

Technical specifications

pH level stability
7.27 ± 0.02 continuous, 1 Hz sampling
Gas concentration alerting
CO2 6.0% / O2 5.0%, deviation alarm < 3 s
Incubator array coverage
Up to 16 chambers per edge node
Time-lapse imaging
7 focal planes, 10-minute interval
Chain-of-custody logging
Biometric operator sign-off, append-only ledger
Grading concordance
99.2% vs senior embryologist panel

Compliance

ISO 13485IEC 62304HIPAAGDPRISO 27001
99.2%Concordance with expert grading
Request technical dossier

Technical architecture & security

Cross-disciplinary architecture, shared across every deployment.

The same foundation serves an embryology incubator and a reverse-osmosis train. That is deliberate: fewer variables, more validation depth.

Embedded edge AI hardware and sensor pipeline
01

Embedded Edge AI & Computer Vision

Deterministic inference on constrained hardware with signed model provenance and bounded latency budgets that hold under fault.

02

Sub-Micron Biomedical Micro-Robotics

Piezo actuation with closed-loop force feedback, ±0.4 µm tolerance, and full kinematic telemetry per procedure.

03

Industrial IoT Telemetry Pipeline

Plant-grade acquisition over Modbus TCP, OPC UA, and MQTT with supervised setpoint writes and deterministic failover.

04

HIPAA & ISO-27001 Enterprise Compliance

Zero-trust device enrolment, customer-held key custody, and audit evidence generated with every system release.

Enterprise engagement

Evaluate Passivia against your operating constraints.

Consultations begin with your regulatory posture, existing automation, and data residency requirements — not a product demo.