ISIDAN

Selected Work
& Capabilities

Isidan designs and deploys AI systems, assistants, and applications that automate operations and improve how businesses run.

Selected Work
01
Mobile / AI Nutrition
SportiveAI

Performance and supplement guidance shaped around the athlete, not a generic template.

SportiveAI is designed as a mobile-first recommendation system for youth athletes. It takes structured athlete inputs, applies a safety-first recommendation engine, and returns a clear supplement stack with timing guidance that can work for individuals and academy environments alike.

Deep AI Analysis

Analyzing athlete profile

Biometric Scan

Analyzing athlete profile

AthleteSofia M.
Age Group10-13
GenderGirl

Athletic Analysis

Processing training data

Primary SportBoxing
Training Frequency3-4 sessions/week
IntensityModerate
Experience1-3 years
Secondary SportMartial Arts
Secondary Frequency5-7 sessions/week

Health Assessment

Evaluating health metrics

Fatigue Level5/10
GoalPerformance
AllergiesLactose
DietVegetarian
Medical HistoryNoted

Database Search

Searching 58,320 protocols

1147 protocols

Age: 10-13Sport: BoxingGoal: Performance

Protocol Match

Generating recommendation

Match Found!

Creatine (1g), Beta-Alanine (500mg), Multivitamin

Personalized for Sofia M.

Matching Formulation

Assembling recommendation

Generating final stack

Matching formulationDone
Generating final stackActive
Validating recommendationQueued
Preparing final outputQueued

Personalized Recommendation

Final protocol output

Personalized Recommendation

Performance Stack
SportiveAI supplement preview

Creatine (1g), Beta-Alanine (500mg), Multivitamin

Balanced meals, consistent sleep, and hydration improve performance.

Dosage

1x/day each

Timing

Creatine and Beta-Alanine post-training, vitamins in the morning

Personalized for Sofia M. based on age group, combat sport profile, performance goal, and dietary context.

Analysis Progress

2.5M funds raisedUS academies300k users

Product Summary

  • -The experience starts from athlete context rather than a fixed supplement template.
  • -Recommendation logic is framed as a visible system with inputs, safety processing, and a usable output layer.
  • -The product language stays practical and trustworthy instead of feeling experimental.

Core Components

  • -Athlete profile intake covering age, sport, training load, goals, allergies, and fatigue
  • -Rule-based safety logic for contraindications, dosage boundaries, and timing checks
  • -AI-assisted recommendation layer that turns inputs into usable daily guidance
  • -Mobile product surface for repeat use by athletes, parents, and staff

Why It Matters

  • -Personal guidance with clear operational safeguards
  • -Credible nutrition workflow for academy-scale environments
  • -Readable outputs instead of opaque recommendation logic
Node.jsPythonLocal LLMReact Native
02
Workforce Coordination
SecuMatch

A platform layer for coordinating security operations, compliance, and assignment resolution in one place.

SecuMatch turns a fragmented industry into a coordinated platform. Requests enter one operational layer, companies and agents become part of the same live network, and missions resolve through a product that behaves like infrastructure rather than a disconnected admin tool.

Mission Workflow

From browse to active shift

Live product flow

Mission Feed

Browse available missions

Live demand across the network

Paris Night Shift

22:00-06:00

Priority mission selected

Event Security - Lyon

18:30-01:00

Available in nearby network

Retail Surveillance - Marseille

14:00-21:00

Available in nearby network

Mission Detail

Review mission and apply

Operational details before acceptance

Paris Night Shift

Commercial site security

Open

Location

Paris 11

Hours

22:00-06:00

Pay

EUR18/h

Role

Night guard

Apply for mission

Availability and credentials ready

Apply

Application Sent

Submission under review

The platform routes availability instantly

Application submitted

Credentials, availability, and location fit have been sent for review.

Status

Pending mission confirmation

Assignment Ready

Mission assigned

Shift confirmed and ready for handoff

Paris Night Shift

Assignment confirmed

Confirmed
Check-in21:45
SupervisorM. Laurent
AccessBadge ready

Mission handoff completed. Guard is cleared to start shift on site.

Shift Active

On mission

Live assignment in progress

Paris Night Shift

Commercial site - Paris 11

On site

Shift

22:00-06:00

Status

Checkpoint 2/4

Live status

Patrol confirmed, checkpoint logged, and mission remains active.

300k raisedFrance50k users

Product Summary

  • -The system is framed around platformization rather than paperwork.
  • -Requests, companies, agents, and missions move through one coordinated layer.
  • -The visual tells the story of an industry becoming a networked platform.

Core Components

  • -Request intake and workforce coordination across missions, companies, and agents
  • -Platform logic that connects fragmented actors into one operational graph
  • -Real-time assignment flow for matching demand with available network capacity
  • -Backoffice controls for approvals, visibility, and operational follow-through

Why It Matters

  • -Less fragmentation across day-to-day operations
  • -A clearer market structure for workforce coordination
  • -Platform behavior that mirrors how the industry actually moves
FastifyPrismaPostgreSQL
03
Preventive Health / AI Diagnostics
PULSE

A preventive health system that measures, analyzes, decides, and triggers action.

PULSE is an AI-powered preventive health platform that guides users through medical-grade measurement, analyzes biological signals in real time, and converts them into clear decisions and actions.

Preventive Health Flow

Measure, analyze, decide, and trigger action

AR Guidance

Cardiac Zone Scan

Guiding measurement across five auscultation points

Guidance

Align stethoscope with active zone

Zone A1

Scanning

Zone A2

Aligned

Zone P1

Pending

Zone P2

Pending

Apex

Pending

Signal Capture

Connected auscultation input

Capturing biological signals with quality confirmation

Waveform

Signal

Clean

Contact

Stable

Quality

93%

Device State

Connected stethoscope active

Capture Notes

Signal quality confirmed. Heart sound stream is stable across the selected zone.

AI Classification

Interpreting clinical signal patterns

Running murmur detection and rhythm screening

Analysis Core

Murmur detection
Arrhythmia screening
Irregular pattern analysis

Interpretation

The model compares waveform quality, rhythm regularity, and acoustic anomalies before classification.

Decision Engine

Classifying finding and severity

Clear result framing for downstream action

Classification

NOT GOOD

Moderate severity

Confidence

93%

Primary Flag

Possible murmur

Rhythm

Irregular pattern detected

Action Trigger

Decision automation initiated

The system moves from detection into action

Recommended Actions

Suggest teleconsultation
Send report to doctor
Schedule monitor and recheck

Status

Clinical report prepared

Decision automation packages findings, assigns next steps, and prepares the care workflow.

Auto walkthrough
1M funds raisedUS deployment200K users

Product Summary

  • -Using AR-guided auscultation and connected devices, PULSE helps users capture high-quality heart and lung signals, interpret them through AI, and determine whether further action is needed.
  • -Rather than stopping at raw data collection, PULSE creates a closed-loop health system: measure, analyze, decide, and act.
  • -From guided measurement to automated workflows, it brings preventive care and real-time interpretation closer to home.

Core Components

  • -Guided auscultation using AR-based body tracking
  • -Real-time analysis of heart and lung signals
  • -AI classification of normal vs abnormal patterns
  • -Automated decision workflows based on severity
  • -Longitudinal health tracking via a digital twin

Why It Matters

  • -Earlier detection before issues escalate
  • -Clinical insight without waiting for in-person evaluation
  • -Clear action paths instead of passive health data
  • -More accessible preventive monitoring at home
AR-Guided MeasurementReal-Time Signal AnalysisPreventive Health System
What We Do

What we build,
and how we deliver it.

01

AI Systems

Custom-built intelligence architectures that automate operations, connect tools, and execute workflows. Designed for specific business contexts, not generic use cases.

02

AI Assistants

Persistent AI operators that answer questions, trigger actions, summarize data, and provide insights. Always on, always in context.

03

AI Agents

Client-facing automation systems for support, lead capture, conversations, and appointment booking. Deployed where users already are.

04

AI Applications

Full AI-native products and platforms built for scale. From concept through production, we own the architecture and the execution.

Contact

Get in touch.

If you're building an AI system, internal assistant, or operational workflow platform, get in touch. We work with a small number of clients at a time.

Mattéo Gob

Co-founder

Valentino César

Co-founder