Asia/Muscat
ArchiveMay 6, 2026

Env.ai

Building AI for a cleaner recycling future
Saif Al Hashar
Env.ai
Plastic waste remains one of the clearest sustainability challenges in Oman and across the region. Manual sorting is time-consuming, costly, and error-prone. Waste that could be recovered ends up unrecycled. That creates a chain reaction: environmental damage, lost material value, and operational inefficiency.
91%
of global plastic waste goes unrecycled
2.14M
tons of unrecycled plastic in Oman annually
256.8M
OMR in lost plastic value every year
Env.ai started with one simple question:
Can AI make recycling easier to understand, easier to sort, and easier to act on?
That question stayed with me because the problem is not abstract. It is real, visible, and frustratingly inefficient. Sorting is manual, slow, expensive, and disconnected from the tools people actually use every day. What made Env.ai meaningful was that it was never just an AI experiment. It was an attempt to connect technology with a real environmental challenge affecting businesses, recycling systems, and communities.
A smart bin that recognizes waste, identifies the material, and directs it into the correct slot automatically. The system was designed to feel effortless for the user while being intelligent and efficient behind the scenes. It runs on affordable hardware, including Custom Hardware, so it stays practical in places where cost matters. Fast recognition, low-cost operation, and a clear path toward deployment.
01
Item placed in bin
Camera captures the object on entry
02
CNN classification
Model identifies plastic type at 82–93%+ accuracy
03
Automatic routing
Sorted into the correct slot no human input needed
Operational Metric
Manual Sorting
env.ai
Processing Time
2–4 minutes per kg
Instant
Sorting Cost
~1.600 OMR per kg
~0.085 OMR per kg
Accuracy
Highly variable
82% – 93%+depends on plastic type
Health & safety
Depends on environment
Assured by automation
Scalability
Linear cost (labor)
Over-the-air updates
Plastic waste is not just an environmental problem. It's an economic one. When sorting fails, recoverable value disappears. Env.ai turns waste into structured, recoverable value.
Plastic Type
Common Items
Market Price (USD/Ton)
PETWater bottles, food containers$300 – $600
HDPEMilk jugs, shampoo bottles$500 – $800
LDPEPlastic bags, wraps$400 – $600
PPFood tubs, straws$500 – $900
PSDisposable cutlery, foam cups$200 – $400
PVCPipes, cable insulation$50 – $150
HARDWARE

Smart Unit

AI-equipped smart bin unit with integrated multi-material sorting actuators.
AI sorting technology
Hardware deployment
1 year maintenance
OTA updates
1,450
OMR
Per Unit (Hardware purchase)
SERVICE

Plus

Ongoing maintenance and system support.
Maintenance contract
OTA updates
Technical support
0.040
OMR
Per kg of waste sorted
PREMIUM
Most complete

Enterprise

Full-service waste sorting operations including live analytics dashboards and physical waste retrieval.
Real-time ESG dashboard data
Coordinated collection logistics
Custom API integration
0.085
OMR
Per kg of waste sorted
For pilot deployment inquiries, contact me directly via email.
Inquire via Email
Env.ai took me from university showcases to representing Oman on an international stage.
Saif Al Hashar presenting Env.ai at LIYSF 2025 in London
International · British Omani Society

London International Youth Science Forum 2025

Represented Oman and presented Env.ai at the Science Bazaar in London.
400+young scientists
90+countries
London, United Kingdom
Read official coverage
1st Place
UTAS Engineering BashUniversity-level engineering showcase
University
2nd Place
South Al-Sharqiyah HackathonRegional competitive hackathon
Regional
2nd Place
Entrepreneurship HackathonJudged on commercial and entrepreneurial potential
Hackathon
Finalist
Qimam "Creators of Ideas"National innovation competition
National
All 25 public references, including TV and radio, are on Media and Recognition.
Radio Interview - Ayn FMTalking about Env.ai and the future of AI in sustainability - May 2026
Listen on Ayn FM
Saif Al Hashar during the Ayn FM radio interview about Env.ai
Video FeatureA short documentary-style feature on the project
Play feature
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