ALIX LASERS AI SYSTEM interface with energy, fluence, pulse width and cooling readouts

ALIX Lasers Licence Department — Dubai, UAE

Engineering Intelligence.Powering the Future of Medical Laser Technology.

Developing intelligent software platforms for the next generation of professional medical laser systems.

THE FUTURE IS SOFTWARETHE FUTURE IS INTELLIGENCETHE FUTURE IS ALIX SMART AI™

Neural Engine

live
18

Energy

J / cm²

4.2

Cooling

°C skin

320

Pulse

µs width

99

Accuracy

% verified

Energy Ring

The Brain

Twelve intelligences, one nervous system.

Every module of ALIX SMART AI reasons about a different dimension of a treatment — and they all resolve into a single, verified decision. Hover a module to see it activate.

Energy AI

Balances fluence, pulse width and repetition against live device telemetry.

AI Command Center

Mission control for a fleet of intelligent lasers.

System health, thermal behaviour, neural throughput and cloud state — continuously observed, never static. Values shown are illustrative live simulations.

System Health

99.4%

Laser Status

READY

Device Health

97.8%

Pulse Accuracy

99.10%

Cooling Efficiency

94.6%

Cloud Status

SYNCED

GPU Usage

62%

Neural Engine

41TOPS

Prediction Accuracy

96.3%

Temperature

34.2°C

Energy Flow

18.6J/cm²

Service Status

NOMINAL

Connected Devices

1482units

Global Network

42regions

Digital Twin

Every device exists twice. Once in metal, once in software.

Rotate the device, open the housing and inspect any component: function, AI interaction, diagnostics, service history and predicted lifetime.

Digital Twin — drag to rotate

Component

Laser Controller Board

Function
Translates AI decisions into hardware timing.
AI interaction
Decision Engine writes verified setpoints only.
Diagnostics
Timing jitter < 4 µs
Service history
Firmware 4.8.2
Predicted lifetime
Predicted 96% remaining
Maintenance interval
Condition based

Software Architecture

From cloud intelligence down to the pulse itself.

Eight layers, connected by a single stream of verified data. Light travels down the stack exactly as decisions do.

Cloud

Fleet orchestration, OTA, telemetry lake

L08

AI Engine

Model ensemble, inference scheduling

L07

Decision Engine

Simulation, verification, execution

L06

Medical Physics Engine

Deterministic physics of light and tissue

L05

Laser Controller

Microsecond timing and energy gating

L04

Cooling Controller

Thermal management and pre-cooling

L03

Sensors

Reflectance, temperature, flow, energy

L02

Device Hardware

Optics, crystal, handpiece, power stage

L01

Medical Physics Engine

Physics first. Intelligence on top.

Before a model may decide anything, deterministic physics defines the boundaries. Adjust the energy input and watch the engine respond.

Interactive input

Fluence

Move the energy input and watch every dependent value in the physics engine react.

18.4

J / cm²

Pulse Width

320.0

µs

Frequency

8.0

Hz

Fluence

18.4

J/cm²

Spot Size

12.0

mm

Cooling

4.2

°C

Temperature

34.6

°C

Crystal

41.2

°C core

Skin

62.0

% reflectance

Pulse Timing

4.0

µs jitter

AI Decision Engine

Simulate. Predict. Verify. Only then execute.

Millions of calculations per second collapse into one authorised action — and nothing reaches the hardware unverified.

> engine.tick(t=1042.318ms)

sensors.read() -> 14 channels ok

skin.reflectance = 0.62

physics.simulate(pulse=320us, fluence=18.4)

model.ensemble(n=7) -> p(safe)=0.9987

cooling.precool(dT=4.1C) queued

decision.select(profile=A2, gain=1.04)

verify.bounds() -> PASS

controller.commit(pulse#412 984)

learn.enqueue(outcome_vector)

status: 2.4M calculations / second

01Simulation
02Probability Model
03Prediction
04Decision
05Verification
06Execution

Global Network

Engineered in Dubai. Connected worldwide.

Devices, updates and telemetry flowing between our engineering hub and connected systems across every region.

Global Network

Connected Devices1 482
Online Devices1 401
Software Version4.8.2
Updates Delivered38 214
Cloud StatusSynced

Figures shown are illustrative platform visuals, not certified fleet statistics.

AI Learning

Every pulse makes the next one smarter.

Knowledge flows from the device into the cloud, expands the network, and returns as a verified model update.

Neural evolution

  1. 01Each treatment generates structured knowledge.
  2. 02Knowledge is anonymised and flows into the cloud.
  3. 03The neural network expands with every generation.
  4. 04Refined models return to the fleet as verified updates.

AI Timeline

One pulse. Eight software decisions. Milliseconds.

Follow a single laser pulse through the platform, from the first sensor read to the learning loop.

Live Device

Press start. Watch the software think.

A simulated treatment interface: temperature, cooling, energy and pulse count responding in real time.

Live Device — virtual treatment

Pulse counter

0

Skin temperature

32.4 °C

Cooling ΔT

4.0 °C

Energy

18.4 J/cm²

standby
— temperature— energy

Simulated interface for demonstration. Not a medical device and not intended for clinical use.

Software Development

How intelligence becomes a released product.

A disciplined path from research to continuous improvement — with verification and validation as non-negotiable gates.

  1. 01Research
  2. 02Medical Physics
  3. 03Simulation
  4. 04Artificial Intelligence
  5. 05Algorithm Training
  6. 06Software Engineering
  7. 07Verification
  8. 08Validation
  9. 09Cyber Security
  10. 10Cloud Infrastructure
  11. 11Deployment
  12. 12OTA Updates
  13. 13Continuous Improvement

Cyber Security Center

Trust is an engineering requirement.

Encrypted communication, signed artefacts, per-device identity and zero-trust service boundaries — monitored continuously.

Encrypted Communication

TLS 1.3 · AES-256 at rest

Digital Signatures

Signed firmware and model artefacts

Certificates

Per-device identity, rotated

Zero Trust

No implicit trust between services

Medical Security

Designed along medical software practice

Realtime Monitoring

Continuous anomaly detection

Software Lab

Where models, simulations and twins are built.

AI Models

Ensembles for energy, cooling and safety

Training Simulations

Millions of synthetic pulse scenarios

Medical Datasets

Structured, anonymised, governed

Laser Simulations

Optical and thermal behaviour in silico

Digital Twins

Every device mirrored in software

Prediction Engines

Component drift and lifetime forecasts

Performance Center

Realtime performance, end to end.

GPU

68%

CPU

44%

Memory

57%

Cloud

82%

Latency

22%

Energy Processing

74%

Prediction Engine

88%

Neural Processing

91%

Update Engine

36%

AI Accuracy

96%

Innovation Wall

Milestones behind us. Vision ahead of us.

2019

Research

Medical physics modelling of pulse–tissue interaction begins.

2020

Simulation

First in-silico laser twin for thermal prediction.

2021

AI Engine

Model ensemble replaces static parameter tables.

2022

Decision Engine

Verification layer gates every executed pulse.

2023

Cloud

Fleet telemetry and secure OTA delivery.

2024

Digital Twin

Component-level lifetime prediction.

2025

Learning Loop

Continuous model refinement from aggregated outcomes.

Vision

Autonomous Assist

Software that reasons about every treatment in real time.

Roadmap items marked “Vision” describe intent, not delivered functionality.

ALIX Smart AI™

The Future of Medical Laser Intelligence Starts Here.

Software is no longer a tool.
Software has become intelligence.

Enter the Future