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Sorted

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Sorted is an AI recycling sorting technology that deploys computer vision robots and guided laser systems to MRFs, improving recyclable material recovery rates by up to 77% over manual picking operations.

AI Categories
Pricing Model
paid
Skill Level
All Levels
Best For
Waste Management & Recycling Municipal Services Industrial Manufacturing Environmental Services
Use Cases
Recyclable Material Sorting MRF Efficiency Optimization Recycling Pick Rate Improvement Sustainability Impact Reporting
Visit Site
4.5/5
Overall Score
4+
Features
1
Pricing Plans
5
FAQs
Updated 3 May 2026
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What is Sorted?

Sorted is an AI recycling sorting technology company that deploys purpose-built robotic systems and AI-guided picking devices to Material Recovery Facilities (MRFs), improving the accuracy and throughput of recyclable material identification without requiring facility redesign or operational shutdowns for installation. High workforce turnover is the defining operational challenge in recycling sorting facilities: new pickers take weeks to learn material identification standards, accuracy drops during that ramp period, and recovery rates suffer. Sorted addresses this directly with two complementary products. Sorted Light is an AI-powered device mounted above the sorting cabin that scans the conveyor belt in real time, identifies valuable recyclables, and projects colored laser beams onto target items to guide pickers — eliminating the identification burden and focusing picker attention on confirmed recovery targets. Sorted SortBot is a fully autonomous robotic sorting unit that handles positive recovery lines without human involvement, billed on an active-hours model rather than a capital purchase. In its initial deployment at SUEZ's Avonmouth MRF, which processes 70,000 tonnes of mixed recyclables annually, Sorted boosted pick rates by 50% and generated critical operational data that linked investments directly to performance outcomes. Sorted is not appropriate for small-scale recycling operations or facilities with very low throughput. The platform's AI vision system and robotic hardware are engineered for MRF and PRF-scale conveyor environments — not household collection vehicles or small community recycling centers that lack a continuous conveyor belt sorting infrastructure. For operations ready to reduce labor dependency without major CapEx commitments, Sorted's pay-per-active-hour SortBot model offers an accessible entry point into automated recycling AI.

Sorted is an AI recycling sorting technology that deploys computer vision robots and guided laser systems to MRFs, improving recyclable material recovery rates by up to 77% over manual picking operations.

Sorted is widely used by professionals, developers, marketers, and creators to enhance their daily work and improve efficiency.

Key Features

1
AI-Driven Sorting Technology
Sorted's computer vision system analyzes conveyor belt imagery in real time, classifying each item's material category — including granular plastic resin types, paper grades, and metal alloys — and triggering guidance or robotic action within milliseconds. The algorithm updates from each session, improving category accuracy as the system accumulates facility-specific material mix data.
2
Customizable Sorting Parameters
MRF operators configure Sorted's sorting targets to match their contracted output streams, adjusting which resin types and material categories the system prioritizes for recovery. This flexibility allows the same hardware to serve facilities with different offtake agreements — a mixed-plastics MRF has different recovery priorities than a dedicated PET-to-food-grade PRF.
3
User-Friendly Dashboard
Operations managers access real-time pick rate data, material recovery metrics, uptime statistics, and shift-by-shift performance comparisons through the Sorted dashboard without requiring data science expertise. Weekly automated reports surface actionable insights for MRF managers to optimize picker placement, shift scheduling, and equipment utilization.
4
Sustainability Impact Reporting
Sorted generates facility-level sustainability reports quantifying the tonnage of materials diverted from landfill or incineration through AI-assisted sorting, providing environmental NGOs, municipal clients, and corporate ESG reporting teams with independently verifiable data to support sustainability disclosures and circular economy compliance.

Detailed Ratings

⭐ 4.5/5 Overall
Accuracy and Reliability
4.7
Ease of Use
4.5
Functionality and Features
4.8
Performance and Speed
4.6
Customization and Flexibility
4.7
Data Privacy and Security
4.5
Support and Resources
4.3
Cost-Efficiency
4.4
Integration Capabilities
4.5

Pros & Cons

✓ Pros (4)
Enhanced Recycling Efficiency Sorted's laser guidance system boosted pick rates by 50% in its initial SUEZ deployment and has achieved up to 77% improvement in recovered value across customer installations, driven by eliminating the material identification burden from pickers and allowing them to focus entirely on the physical recovery action.
Reduction in Waste By improving identification accuracy and recovery rates, Sorted reduces the volume of correctly identifiable recyclable materials that pass through the sorting line undetected and end up in residual waste streams — directly supporting both operator commercial performance and facility environmental compliance targets.
Customization Options Sorting parameters, target material categories, and output stream priorities are configurable per facility deployment, allowing Sorted to serve MRFs with dramatically different input material mixes and contractual output requirements without requiring hardware or software modifications between installations.
Eco-Friendly Impact Every percentage-point improvement in recyclable material capture translates to measurable reductions in virgin material extraction and manufacturing emissions — Sorted's sustainability reporting quantifies this impact at the facility level, supporting both MRF operator ESG disclosures and municipal waste authority public accountability reporting.
✕ Cons (3)
Initial Setup Complexity Configuring Sorted's sorting parameters to accurately match a specific MRF's material mix, conveyor geometry, and picker workflow requires a facility-specific deployment process. Operations with non-standard conveyor configurations or mixed-use sorting cabins may require more extensive commissioning time than standard installations.
Higher Cost for Advanced Features SortBot's full autonomous sorting capability — targeting positive recovery lines without human picker support — involves higher hardware and deployment costs than Sorted Light's augmentation model, which may limit access for smaller independent MRF operators who cannot justify autonomous robotics on their volume and margin structure.
Dependency on Continuous Updates As regional waste compositions evolve — new packaging formats, polymer blends, and collection scheme changes — Sorted's classification models require periodic retraining updates to maintain peak accuracy. Facilities that cannot support software update windows may see gradual accuracy drift as the material mix diverges from the training data the current model version was built on.

Who Uses Sorted?

Municipal Waste Management Agencies
Local authority and contracted waste management operators use Sorted to improve recyclable capture rates across city-wide MRF infrastructure, reducing the volume of potentially recoverable materials that reach residual waste streams and supporting national recycling rate reporting obligations.
Industrial Manufacturers
Production waste handling facilities use Sorted to identify and recover high-value material streams — specific polymer grades, aluminum alloys, paper types — from manufacturing process waste before mixed materials are sent for lower-value bulk recycling or disposal.
Environmental NGOs
Sustainability-focused organizations monitoring recycling outcomes in publicly funded collection programs use Sorted's performance data and sustainability reports to hold facility operators accountable to contracted recovery benchmarks and to identify systemic inefficiencies in the sorting process.
Educational Institutions
Universities offering environmental engineering and sustainable operations programs use Sorted deployments as live case studies for AI application in circular economy infrastructure, providing students with real-world performance data from active MRF environments.
Uncommon Use Cases
Stadium and large event venue waste contractors use Sorted at temporary sorting stations to recover recyclables from high-volume mixed waste generated at public events; research institutions studying waste composition and recovery technology deploy Sorted to generate labeled material stream datasets.

Sorted vs Lutra AI vs Convergence vs Simple Phones

Detailed side-by-side comparison of Sorted with Lutra AI, Convergence, Simple Phones — pricing, features, pros & cons, and expert verdict.

Compare
S
Sorted
Paid
Visit ↗
Lutra AI
Freemium
Visit ↗
Convergence
Free
Visit ↗
Simple Phones
Freemium
Visit ↗
💰Pricing
Paid Freemium Free Freemium
Rating
🆓Free Trial
Key Features
  • AI-Driven Sorting Technology
  • Customizable Sorting Parameters
  • User-Friendly Dashboard
  • Sustainability Impact Reporting
  • Effortless Automation with Natural Language
  • AI-Driven Data Extraction and Enrichment
  • Pre-Integrated for Quick Deployment
  • Secure and Reliable
  • Natural Language Processing
  • Task Automation
  • Web Interaction
  • Parallel Processing
  • AI Voice Agent
  • Outbound Calls
  • Call Logging
  • Affordable Plans
👍Pros
Sorted's laser guidance system boosted pick rates by 50
By improving identification accuracy and recovery rates
Sorting parameters, target material categories, and out
Describing a workflow in plain English and having it ex
Data extraction and enrichment tasks that take an analy
Pre-built connections to Airtable, Slack, HubSpot, Goog
Proxy handles the full execution of delegated tasks aut
At $20 per month for the Pro tier, Convergence provides
Natural language task setup removes the technical barri
Every inbound call is answered regardless of time, day,
Automating call answering, FAQ handling, and appointmen
From the agent's voice and personality to its escalatio
👎Cons
Configuring Sorted's sorting parameters to accurately m
SortBot's full autonomous sorting capability — targetin
As regional waste compositions evolve — new packaging f
Users new to automation concepts may initially write in
Workflows connecting to tools outside Lutra's pre-integ
Users unfamiliar with AI agent delegation often underus
The free plan caps the number of Proxy sessions and aut
Proxy's ability to execute web-based tasks is entirely
Configuring the agent's knowledge base, escalation logi
The $49 base plan covers 100 calls per month, which sui
Simple Phones operates entirely in the cloud — the AI a
🎯Best For
Municipal Waste Management Agencies E-commerce Businesses Busy Professionals Small Businesses
🏆Verdict
For MRF and PRF operators where labor turnover and inconsist…
For digital marketing agencies and financial analysts runnin…
For busy professionals managing high volumes of repetitive o…
Simple Phones is the most accessible entry point for small b…
🔗Try It
Visit Sorted ↗ Visit Lutra AI ↗ Visit Convergence ↗ Visit Simple Phones ↗
🏆
Our Pick
Sorted
For MRF and PRF operators where labor turnover and inconsistent picker performance are the primary barriers to hitting c
Try Sorted Free ↗

Sorted vs Lutra AI vs Convergence vs Simple Phones — Which is Better in 2026?

Choosing between Sorted, Lutra AI, Convergence, Simple Phones can be difficult. We compared these tools side-by-side on pricing, features, ease of use, and real user feedback.

Sorted vs Lutra AI

Sorted — Sorted is an AI Agent platform built specifically for waste management companies, MRF operators, and municipalities seeking to improve recyclable material recov

Lutra AI — Lutra AI is an AI Agent that executes multi-step data workflows autonomously based on natural language input, with pre-built connections to Airtable, Slack, Goo

  • Sorted: Best for Municipal Waste Management Agencies, Industrial Manufacturers, Environmental NGOs, Educational Insti
  • Lutra AI: Best for E-commerce Businesses, Digital Marketing Agencies, Research Institutions, Financial Analysts, Uncomm

Sorted vs Convergence

Sorted — Sorted is an AI Agent platform built specifically for waste management companies, MRF operators, and municipalities seeking to improve recyclable material recov

Convergence — Convergence is an AI Agent that autonomously handles repetitive online tasks — browsing, form-filling, data aggregation, and scheduled workflows — through its n

  • Sorted: Best for Municipal Waste Management Agencies, Industrial Manufacturers, Environmental NGOs, Educational Insti
  • Convergence: Best for Busy Professionals, Managers, Researchers, Developers, Uncommon Use Cases

Sorted vs Simple Phones

Sorted — Sorted is an AI Agent platform built specifically for waste management companies, MRF operators, and municipalities seeking to improve recyclable material recov

Simple Phones — Simple Phones is an AI Agent that handles the inbound and outbound call workload of a small business autonomously — answering, logging, routing, and following u

  • Sorted: Best for Municipal Waste Management Agencies, Industrial Manufacturers, Environmental NGOs, Educational Insti
  • Simple Phones: Best for Small Businesses, E-commerce Platforms, Real Estate Agencies, Healthcare Providers, Uncommon Use Cas

Final Verdict

For MRF and PRF operators where labor turnover and inconsistent picker performance are the primary barriers to hitting contracted recovery rates, Sorted delivers immediate productivity gains without requiring facility closure for installation. The Sorted Light deployment at SUEZ produced a 50% initial pick rate improvement and actionable data connecting equipment investment to yield outcomes. The limitation is scope: facilities with under 20,000 tonnes annual throughput may not generate sufficient operational volume to justify the platform's hardware cost and deployment process relative to incremental staff training improvements.

FAQs

5 questions
How does Sorted AI improve recycling sorting accuracy?
Sorted's computer vision system scans the conveyor belt in real time, identifies recyclable items, and projects colored laser beams onto target materials to guide human pickers. By removing the identification step from the picker's cognitive load, the system reduces missed recoveries and misidentifications, producing documented pick rate improvements of 50% or more in initial deployments.
Does Sorted AI require facility modifications to install?
No. Both Sorted Light and SortBot are designed for retrofit deployment in existing sorting cabins without structural changes to the facility. Sorted Light mounts above the conveyor belt and installs within a standard maintenance window without disrupting active operations, making adoption feasible for MRFs with limited downtime availability.
Is Sorted AI appropriate for small recycling operations?
Sorted's AI vision hardware and robotics are engineered for MRF and PRF-scale conveyor environments processing significant material volumes. Very small operations or facilities without a continuous belt sorting infrastructure — such as community drop-off centers or manual sorting rooms without conveyor systems — are not suitable deployment environments for Sorted's current product lineup.
How does Sorted compare to competitors like AMP Robotics?
Both Sorted and AMP Robotics deploy AI vision for recyclable material identification, but Sorted's hybrid model — augmenting human pickers with laser guidance rather than replacing them entirely — is better suited to MRFs with variable staffing levels and budget constraints. The SortBot option provides full autonomy for operators ready for robotic-only sorting on specific lines.
What sustainability reporting does Sorted provide?
Sorted generates facility-level impact reports quantifying tonnes of recyclables diverted from landfill or incineration, material-specific recovery rate improvements, and shift-by-shift performance comparisons. These reports support municipal authority ESG disclosures, corporate sustainability commitments, and regulatory recycling rate compliance documentation.

Expert Verdict

Expert Verdict
For MRF and PRF operators where labor turnover and inconsistent picker performance are the primary barriers to hitting contracted recovery rates, Sorted delivers immediate productivity gains without requiring facility closure for installation. The Sorted Light deployment at SUEZ produced a 50% initial pick rate improvement and actionable data connecting equipment investment to yield outcomes. The limitation is scope: facilities with under 20,000 tonnes annual throughput may not generate sufficient operational volume to justify the platform's hardware cost and deployment process relative to incremental staff training improvements.

Summary

Sorted is an AI Agent platform built specifically for waste management companies, MRF operators, and municipalities seeking to improve recyclable material recovery rates without major facility investment. The company raised £1.65 million in backing from Pi Labs and the Circular Plastics Accelerator, with documented deployments including SUEZ's UK operations. Sorted Light deploys in hours during maintenance windows without disrupting operations, while SortBot offers continuous autonomous picking on a flexible hourly billing model. Compared to AMP Robotics and Greyparrot, Sorted differentiates on its hybrid human-AI model — augmenting picker accuracy rather than solely replacing human labor — which suits MRFs with variable staffing needs.

It is suitable for beginners as well as professionals who want to streamline their workflow and save time using advanced AI capabilities.

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Anonymous User
Verified User · 2 days ago
★★★★★
Great tool! Saved us hours of work. The AI is surprisingly accurate even on complex tasks.

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