UK-Based AgriTech Startup · Est. 2024

Smarter Farms, Healthier Flocks.

Chicken Twin deploys AI, LiDAR & RGB cameras to detect disease before symptoms appear, automate flock management, and turn every poultry house into a precision-data operation.

$350B
Global Market
98%
Detection Accuracy
200
Farms on One Dashboard
🔬
EDD-AI
Early Disease Detection via LiDAR + RGB — detects before symptoms appear
⚖️
BWC-AI
Full-flock AI body weight & bird count — no manual sampling
🤖
AI-ROBO
Robotic insemination — replaces 14 workers per 10,000 hens/day
🐣
B-SEX
AI chick sexing — 90% labor reduction, zero global competition
📊
FMS Suite
IoT flock monitoring for Broilers, Layers & Breeders in real time
Market Size $350B Global Poultry Industry
·
Disease Losses $20–25B per year
·
HPAI Mortality Up to 100% without detection
·
US Losses 2024–25 $14.5B from Avian Influenza alone
·
Poland 2025 7M birds lost to Newcastle Disease
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Digital Poultry Tech Projected $3.5B by 2033
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417M Broiler Breeder Hens Globally
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Coccidiosis $3B annual losses worldwide
·
Market Size $350B Global Poultry Industry
·
Disease Losses $20–25B per year
·
HPAI Mortality Up to 100% without detection
·
US Losses 2024–25 $14.5B from Avian Influenza alone
·
Poland 2025 7M birds lost to Newcastle Disease
·
Digital Poultry Tech Projected $3.5B by 2033
·
417M Broiler Breeder Hens Globally
·
Coccidiosis $3B annual losses worldwide
The Problem

A $25 Billion
Annual Crisis

The global poultry industry loses up to $25 billion every year to preventable disease outbreaks — most detected too late, by sight alone. Chicken Twin changes that equation entirely.

Highly Pathogenic Avian Influenza (HPAI)75–100% mortality
Newcastle Disease — Poland 20257M birds lost
US Avian Influenza losses 2024–25$14.5B USA only
Coccidiosis~$3B / year
Mycoplasmosis~$780M / year
Baseline flock mortality4–7% per flock
👁️
Manual Monitoring Fails

Traditional farms rely on visual inspections — but disease signs are invisible until mortality is already rising. Chicken Twin detects behavioral anomalies 48–72 hours before clinical symptoms emerge using AI + LiDAR.

⚠️
Labor-Intensive Operations

Manual weight sampling, bird counting, and insemination teams (14 workers per 10,000 hens/day) inflate costs every cycle. Our AI robotics reduce labor dependency by up to 90%.

📉
Data Blind Spots

Poor data recording makes predictive management impossible. Delayed weight and FCR data means lost cycles, wasted feed, and late market decisions — all solvable with Chicken Twin's real-time AI analytics.

Our Platform

One Unified AI Ecosystem

Eight integrated solutions covering the full poultry production cycle — from day-old chick to processing plant.

EDD-AI
Early Disease Detection
LiDAR + RGB cameras analyze flock posture, clustering, respiration and temperature in real time
FMS Suite
Flock Monitoring
IoT monitoring for Broilers, Layers, and Broiler Breeders with full environmental sensors
BWC-AI
Body Weight & Count
Full-flock real-time weight estimation and automated bird counting — no sampling
B-SEX
AI Chick Sexing
Automated male/female separation for hatcheries — zero global competition for this technology
CSS-AI
Carcass Evaluation
AI assessment of meat yield, injury detection, welfare scoring and quality grading at scale
AI-ROBO
Robotic Insemination
Automated insemination — up to 12 extra chicks per hen annually, no global competition
FFS-C
Feed Formulation
Cloud-based sex-specific SID amino acid & AME standards for optimized broiler nutrition
Dashboard
Digital Farm Management
Monitor 200 farms on one dashboard — FCR, daily gain, mortality, ventilation, live
$350B
Global Poultry Market
$25B
Lost to Disease Annually
$3.5B
Digital Poultry Tech by 2033
$30–65K
Saved Per House Per Year
62.55B
Day-old Chicks Annually
About Chicken Twin

Building the Intelligence
Layer for Poultry.

Chicken Twin is a UK-based startup transforming global poultry production through Artificial Intelligence, LiDAR, and RGB camera technologies. We provide real-time monitoring, predictive disease detection, robotic automation, and intelligent farm management — reducing mortality, increasing productivity, and improving profitability across the entire production cycle.

Mission & Strategy

Why We Exist

The global poultry market exceeds $350 billion, yet the industry operates with tools built for the 20th century. Manual inspections miss early disease signs. Human counting errors cascade into wasted feed and medication dosing mistakes. Labor-intensive operations inflate costs every single cycle.

Chicken Twin was founded to close this gap — deploying AI and robotics where the economic impact is greatest: early detection, automated management, and full-flock intelligence that scales from a single house to 200 farms on one dashboard.

🎯
Our Mission

Provide real-time monitoring, predictive disease detection, robotic automation, and intelligent farm management to reduce mortality, increase productivity, and improve profitability in the global poultry industry.

🔭
Our Vision

A world where no poultry farm loses a flock to a preventable outbreak — and where every farmer has access to the same precision-data intelligence available to the world's largest integrators.

Competitive Advantages
  • AI disease detection — LiDAR + RGB + deep learning algorithms
  • B-SEX and AI-ROBO: zero global competition for either product
  • Full-flock weight & counting — not just sampling
  • Carcass evaluation at processing scale with AI + LiDAR
  • Single dashboard monitoring up to 200 farms simultaneously
Industry Context

Poultry Production Basics

Understanding the three production segments Chicken Twin serves — broilers, layers, and broiler breeders.

01
Broilers — Meat Production

Fast-growing birds raised for meat. They reach approximately 2 kg within 35–42 days, yielding 6–7 production flocks per year per house. A single broiler house is an environmentally controlled facility with a capacity of 30,000–100,000 birds.

02
Layers — Table Egg Production

Only female chicks are reared after sexing for commercial egg production. The global layer industry comprises 15.8 billion hens producing 1.6 trillion shell eggs annually (2020). Accurate day-one chick sexing is economically critical for this segment.

03
Broiler Breeders — Parent Stock

Parents of commercial broilers, maintained for approximately one year. They reach 4–6 kg by 24 weeks, begin laying fertile eggs, and produce ~150 chicks per hen annually. Globally, 417 million broiler breeder hens produce 62.55 billion day-old chicks per year.

Technology Validation

LiDAR & AI: Proven Globally

LiDAR and AI monitoring are already validated across medical, industrial, and agricultural sectors — confirming Chicken Twin's core technology approach.

SLB

Industrial Methane LiDAR Monitoring — detects and quantifies methane leaks at industrial sites with 3D visualization.

Sun Yat-Sen Hospital

LiDAR Patient Monitoring — monitors patient poses and movements in real-time for privacy-compliant healthcare monitoring.

Ouster & Inivation

LiDAR Vital Monitoring — combines LiDAR sensors and event-based cameras to track respiration and heart rate.

Agrisense Drones

Agricultural Disease LiDAR — employs LiDAR-equipped drones to detect and monitor crop diseases for early intervention.

AccuVein

Medical Vein Visualization — non-invasive vein mapping with potential LiDAR integration for enhanced medical precision.

GAO Tek

Environmental LiDAR Sensors — monitors air quality, temperature, and humidity in healthcare and industrial facilities.

CloudFactory

AI LiDAR Data Labeling — provides AI-driven labeling of LiDAR datasets for anomaly and safety detection models.

Fallert

Mobile LiDAR Fall Detection — uses iPhone/iPad LiDAR for accurate 3D fall detection of patients and elderly individuals.

The Team

Built by Industry Experts

Chicken Twin is led by professionals combining decades of poultry science, technology, and global industry experience.

👨‍💼
Muhammad Ubaid Nasir
CEO & Founder
Visionary founder of Chicken Twin, driving the mission to integrate AI and robotics into global poultry production. Muhammad leads the strategic direction, product development, and business growth of the company from its UK headquarters.
🎓
Prof. Dr. Nasir Mukhtar
Co-Founder & Chief Scientific Officer
BBA, BSc (Hons), MSc (Hons), PhD (UAF), Post-Doctorate — University of Edinburgh, UK. 24 years experience including 8 in industry and 16 in academia. Global Group Leader & Vice President of the World's Poultry Science Association (WPSA, est. 1912) — operating in 80 countries with 8,000+ members. Secretary General, WPSA UAE Branch. Author of 64 research publications and 6 books. Guest Editor, Poultry Science (USA). Associate Editor, World's Poultry Science Journal (USA). Completed 5 projects with the US Soybean Export Council.
64
Publications
24yr
Experience
80
WPSA Countries
🌍
Daniel Martínez Iglesias
Team Manager & Global Consultant
Global strategy and business development consultant supporting Chicken Twin's international expansion and market entry. Daniel brings cross-regional operational expertise and management skills to help scale the platform across multiple geographies.
Business Model

How We Generate Revenue

A diversified model combining hardware sales, enterprise licensing, and recurring data intelligence services.

🔧
Hardware & Installation
  • LiDAR sensors, RGB cameras, AI gates — one-time setup per house
  • Processor modification with existing control panels
  • Option to lease hardware with maintenance included
📋
Enterprise Licensing
  • Monthly/annual SaaS fees for dashboard, analytics, and alerts
  • Tiered pricing by farm size or number of farms monitored
  • Custom AI integrations and API access for large integrators
📡
Future Data Intelligence
  • Disease trend analysis and predictive benchmarking reports
  • Insurance scoring based on farm health and performance data
  • Growth forecasts and precision feed advisory services
⚙️
Integration & Automation
  • AI-driven control of feeders, drinkers, ventilation, and lighting
  • DSS decision-support with actionable farm recommendations
  • Telecom connectivity partnerships for cloud data transfer
$10–20K
Mortality loss reduction
per house per year
$5–15K
Labor cost savings
per house per year
$3–10K
Reduced treatment costs
per house
$10–20K
Feed & performance gains
per house
$65K
Max total savings
per house / year
Our Solutions

Eight Products.
One Ecosystem.

From early disease detection to robotic insemination, Chicken Twin covers every critical intervention point across the full poultry production cycle.

Request a Demo →
EDD-AI
Early Disease Detection
FMS Suite
Flock Monitoring
BWC-AI
Weight & Count
B-SEX
Chick Sexing
CSS-AI
Carcass Evaluation
AI-ROBO
Robotic Insemination
FFS-C
Feed Formulation
Dashboard
Digital Farm Twin
🔬
PHASE 1
EDD-AI
AI-LiDAR Camera Based Early Disease Detection
Computer vision and LiDAR continuously monitor flock behavior — detecting abnormal patterns before visible clinical symptoms appear. Predictive alerts enable rapid containment, potentially preventing 75–100% mortality in severe viral outbreaks like HPAI.
  • Monitors: movement, clustering, posture, respiration, facial features, body temperature
  • Current focus: Newcastle Disease (ND) & Highly Pathogenic Avian Influenza (HPAI)
  • Planned expansion: IB, IBD (Gumboro), Coccidiosis, Salmonella, Mycoplasma, E. coli
  • AI Biosecurity: facial recognition for staff, PPE compliance, vehicle tracking
  • Automated alerts: CO₂, NH₃, temperature, humidity, ventilation, equipment faults
Target: $350B global market
Active R&D
📊
3 VARIANTS
FMS Suite
IoT-Based Flock Monitoring Systems (B / L / BB)
Three specialized IoT monitoring platforms covering all three production segments: FMS-B for Broilers, FMS-L for Layers, and FMS-BB for Broiler Breeders. Real-time environmental and flock health data across the full operation.
  • FMS-B: Broiler growth, FCR, mortality, ventilation, temperature monitoring
  • FMS-L: Layer production tracking, egg yield, uniformity monitoring
  • FMS-BB: Breeder fertility, body weight control, fertile egg production
  • IoT Sensors: temperature, humidity, NH₃, CO₂, ventilation, water quality
  • Automated alerts via SMS, email, and mobile app in real time
Poulta IoT — limited scope
Active
⚖️
NO COMPETITION
BWC-AI
AI-Driven Body Weight Assessment & Bird Counting
Unlike traditional 5% manual sampling, BWC-AI provides real-time weight estimation and daily bird counts for 100% of the flock using LiDAR + RGB cameras — eliminating errors in feed allocation, medication dosing, and mortality records.
  • Real-time body weight estimation for every bird in the house
  • Daily automated bird count — no manual counting required
  • Early identification of growth anomalies and uniformity issues
  • Scalable to 200 broiler farms on one centralized analytics platform
  • Targets: 417M broiler breeders + 15.6B layer hens globally
No camera-weight competitor
In Development
🐣
GLOBAL FIRST
B-SEX
AI-Camera Based Chick Sexing in Hatchery
Day-old chick sexing is currently performed by skilled workers using feather or vent sexing methods. B-SEX replaces this entirely with AI-camera robotics — separating male and female chicks automatically with extremely high accuracy and minimal handling stress.
  • 62.55 billion chicks produced by 417M broiler breeder hens annually
  • Layer industry: 15.8B layer chicks — only females are reared for production
  • Reduces labor costs by up to 90% versus manual sexing teams
  • Dramatically increases throughput speed and accuracy
  • Zero global competition currently exists for this solution
No competition globally
In Development
🥩
PROCESSING
CSS-AI
AI-Based Carcass Evaluation & Welfare Assessment
With 62.55 billion broilers produced annually, manual carcass inspection is inconsistent and impractical at scale. CSS-AI uses LiDAR and RGB cameras to evaluate every bird automatically — from welfare scoring at farm level to yield assessment at the processing plant.
  • Real-time monitoring: injuries, posture, mobility, and feather condition
  • AI welfare scoring — ensures compliance with animal welfare standards
  • Meat yield assessment: Breast 35% · Legs 19% · Wings 11% · Back/Ribs 5%
  • Targets: commercial processing plants, integrators, contract producers
  • Zero global competition currently exists for this solution
No competition globally
In Development
🤖
GLOBAL FIRST
AI-ROBO
Robotic Artificial Insemination in Breeding Hens
Heavy male broilers (4–6 kg) face mounting difficulties with age, reducing fertility rates. Manual insemination currently requires 14 skilled workers per 10,000 hens per day. AI-ROBO fully automates semen collection and insemination with higher consistency and zero disease transmission risk.
  • Automated semen collection and precise insemination delivery
  • Up to 12 extra chicks per hen per year = 5 billion additional chicks globally
  • Replaces entire 14-worker manual insemination teams per operation
  • Eliminates disease transmission risk associated with manual handling
  • Initial adoption target: 1–5% of global hatcheries — very high ROI potential
No competition globally
In Development
☁️
CLOUD
FFS-C
Cloud-Based Feed Formulation Software
Advanced cloud-based feed formulation incorporating sex-specific SID amino acid and AME standards for broilers. Enables nutritionists and managers to optimize feed programs separately for male and female birds — improving FCR and reducing cost per kg of gain.
  • Sex-specific SID amino acid standards for broilers and feedstuffs
  • AME (Apparent Metabolizable Energy) optimization per feedstuff database
  • FEED-SEX module: Sex-Specific Standards for Broilers & Feedstuffs
  • Cloud access — available from any device, anywhere in the world
  • Integrates with FMS suite for precision feeding automation
Specialized niche product
In Development
🖥️
ENTERPRISE
Digital Farm Dashboard
Smart Poultry Farm Management Platform
The central nervous system of Chicken Twin. A unified, mobile-accessible dashboard consolidating all sensor data, AI outputs, and farm metrics from up to 200 farms simultaneously — giving integrators, managers, and owners complete visibility and control from any device.
  • Monitor up to 200 farms on a single, real-time dashboard (mobile + laptop)
  • Live tracking: FCR, daily weight gain, feed intake, mortality, carcass reports
  • Environmental: temperature, humidity, NH₃, CO₂, ventilation rate — all live
  • AI-controlled feed, water, lighting, and climate automation
  • DSS provides actionable recommendations and predictive disease alerts
Mobile + laptop accessible
Active
Live Intelligence

Your Entire Operation, One Screen.

The Chicken Twin dashboard aggregates data from every sensor, camera, and LiDAR unit across your farm portfolio. Whether you manage 1 house or 200, you get the same real-time intelligence — accessible from any device, anywhere in the world.

Current market data integration shows sale rate, cost per kg, profit per bird, and ventilation performance — updated live alongside house-level health and growth indicators.

Request Access →
Chicken Twin · Live Dashboard
LIVE
Daily Feed Intake118g / bird
Daily Weight Gain68g / bird
FCR1.8
Mortality Today0.5%
Temperature24.3°C ✓
Humidity64.1%
NH₃ Level13 ppm ✓
CO₂ Level2,300 ppm
Sale Rate$5.1 / kg
Profit / kg$1.0
Farm Portfolio · 200 Active
47
Broiler
31
Layer
19
Breeder
Get in Touch

Let's Build the
Future Together.

Whether you're a poultry producer, investor, integrator, or researcher — we'd love to talk about how Chicken Twin can transform your operation.

Direct Contact
📞
💬
📧
General Email
📧
Alternative Email
Departments
🛠️
Technical Support

Ready to Transform Your Farm?

Join the future of smart poultry farming. Reach us directly on WhatsApp or email — we respond within 24 hours. We welcome poultry producers, hatcheries, integrators, and investors.

✉️   Send an Email
Our Presence
🇬🇧
United Kingdom
Headquarters & Registered Startup
🇺🇸
United States
Business Development · +1 (201) 751-9332
🇦🇪
UAE
WPSA UAE Branch · Research Partnerships
🌍
Global Network
WPSA presence in 80 countries worldwide
Partnership Opportunities

We are actively seeking poultry integrators, hatcheries, and agricultural technology partners for pilot programs, co-development agreements, and investment conversations. Reach out to start the discussion.