Gradewell

Pocket plastic scanners so small scrap dealers sell graded lots, not mixed

Climate Tech SMEs

TL;DR Gradewell rents small scrap dealers a handheld near-infrared scanner that names the polymer in a second, plus a phone app that records each sorted lot. Dealers pay a monthly fee because graded plastic sells for more than mixed, and recyclers chasing recycled-content targets want lots they can trust.

The problem

Most plastic in Indian cities passes through a neighbourhood scrap dealer before it reaches a recycler. Those dealers sort by eye and touch, and anything they cannot name goes into the "mixed" pile. And the price gap is real - one Bengaluru doorstep rate list pays ₹12 a kilo for soft plastic and ₹10 for PET bottles, but ₹8 for mixed plastic and ₹5 for hard plastic[1].

Recyclers face the opposite problem. From 2025-26, brand owners must use 30% recycled content in rigid plastic packaging, rising to 60% from 2028-29[2]. They need clean single-polymer feed, and a bale with stray PVC or a wrong polymer costs them yield. So how does a small dealer prove what is in a lot? Right now, he can't afford to.

The idea

A dealer holds the Gradewell scanner against an item and the phone shows the polymer, such as PET, HDPE, PP, LDPE or PS, with a confidence score. Items the scanner cannot read, including black plastic, go to a separate bin rather than being guessed. Each finished bale gets a lot record with weight, polymer mix from spot checks, photos and date. Recyclers who buy through partner channels can see that record before paying.

The device uses off-the-shelf near-infrared modules, with a classification model tuned on Indian packaging. Public work shows this is possible but not finished - an open-source scanner from TU Delft reached about 70% accuracy in university tests and has paused development[3], and a CSIR lab in Chennai is building a similar handheld tool with an NMHS grant of ₹47,80,739[4]. Gradewell's job is to make it reliable enough for daily trade use.

Who pays

The user is a scrap dealer or the operator of a dry-waste collection centre. They pay a monthly rental per scanner, priced well below the extra margin from one graded bale a week. Recyclers are the second payer, buying lot records or paying a premium for graded supply because they need recycled content they can document. Brand owners and EPR compliance firms may fund scanners for their supply chain.

Why now

The Plastic Waste Management (Amendment) Rules 2026, notified on 31 March 2026, keep rising recycled-content floors for every packaging category[2]. Handheld near-infrared hardware has become cheap enough for pilots, and machine-learning studies published in 2025 show handheld spectrometers can classify common plastics, with lower accuracy than bench-top units[5].

Market signal

There is no public figure for handheld polymer scanners sold in India. The firmest signal is the price spread at the doorstep, where sorted soft plastic sells for 50% more than mixed[1]. The demand-side signal is regulatory, with recycled-content floors of 30–60% for rigid packaging[2]. Treat both as reasons to test and not as a market size.

Who's already doing this

A German sensor firm sells mobile near-infrared plastic identification to recyclers, without a public price[6]. One open-source scanner project is designed with input from informal recyclers in India and elsewhere, but is not sold[3]. CSIR's Polyscan is a research project with a recycling partner in Chikmagalur[4]. I found no Indian company renting scanners to small dealers with a lot record attached.

How hard is it?

Difficulty Moderate (50/100)
Starting capital ₹60 L–1.2 Cr
Time to launch 9–12 months

Accuracy on dirty, labelled, multilayer Indian packaging is the hardest part, and black plastic will not read at all. The device must survive dust and rough use and still cost little. Selling also takes field time, because dealers trust their own eyes and need proof that a buyer pays more for graded lots.

Licences and approvals

No licence covers the scanner itself, but recycling rules shape who you sell to.

  • Plastic Waste Management Rules 2026 set recycled-content floors that drive recycler demand. They don't license your device[2].
  • CPCB EPR portal registration for the recyclers you sell lot records to, checked before you sign them, since only their output counts toward targets[2].
  • WPC equipment type approval for any Bluetooth or Wi-Fi module, confirmed with the module supplier before launch [Requires validation].
  • Company or LLP registration with the MCA, GST once over the threshold and DPDP care with dealers' personal data.

Building this outside India? The categories above usually have a local equivalent, so check with your own regulator.

How AI can power this business

  • Polymer classification. The model reads the near-infrared spectrum and names the plastic in about a second, so a dealer can sort without guessing.
  • Unknown item handling. Items with low confidence go to a separate bin instead of a forced answer, which keeps lot quality honest.
  • Lot records. The app turns spot checks, weights and photos into a lot record a recycler can review before paying.
  • Model tuning on local packaging. Field scans from yards feed back into training, so accuracy improves on Indian labels and dirt.

Don't quote accuracy you haven't measured. Prototype scanners reached about 70% in tests[3], so publish your own yard results before any buyer relies on them.

Want to work out the AI layer for Gradewell? Talk to Yash →

Biggest risks

Here's what can go south -

  • Accuracy gap. If the scanner is wrong more than a few times in a hundred then dealers stop trusting it and recyclers ignore the lot records.
  • No price premium. If recyclers will not pay more for graded lots then dealers have no reason to rent the device.
  • Bigger players move down. Large aggregators or EPR firms could buy industrial sorters and skip small dealers.

Our take

I like this for a founder with hardware and spectroscopy skills who will happily spend weeks in scrap yards. If you're hoping to sell a gadget without building recycler demand then skip it. First prove two things in one city - 95% accuracy on the five main polymers in real yard conditions, and a recycler that pays at least ₹2 a kilo more for scanned lots.

Questions founders ask

Plan for roughly ₹60 L–1.2 Cr for hardware development, model training and field pilots.

Is a plastic grading business profitable in India?

It can be if recyclers pay more for graded lots. Sorted soft plastic already sells for about 50% more than mixed at the doorstep in Bengaluru, but you need to prove the premium holds.

Can I start a plastic scanner business in another country?

Yes, informal and small-scale recycling exists in many countries. Check local radio approval rules for the device first.

Download the kit

The free Gradewell validation kit has the line-by-line capital breakdown, the effort scoring, the plastic-rules and device checklist, a 14-day validation sprint with pass/fail targets, a 90-day launch plan, 10 interview questions for scrap dealers and recyclers, and 5 assumptions to test. Download the kit →

Talk to Yash

Thinking about building Gradewell or something close to it? The make-or-break work is hitting yard-grade accuracy and getting one recycler to pay more for scanned lots, and I can help you test both. If you need a hand, you know where to find me. Talk to Yash →

Sources

  1. The Kabadiwala, "Scrap rates in Bangalore", accessed 2026-10-21. https://www.thekabadiwala.com/scrap-rates/bangalore
  2. Corporate Professionals, "Plastic Waste Management (Amendment) Rules, 2026: strengthening EPR, recycled content and reuse obligations", 2026-04-07. https://www.corporateprofessionals.com/regulatoryupdate/plastic-waste-management-amendment-rules-2026-strengthening-epr-recycled-content-and-reuse-obligations/
  3. Plastic Scanner, official site, accessed 2026-10-21. https://plasticscanner.com/
  4. National Mission on Himalayan Studies, "Eco-friendly identifier: a handheld plastic type detector" (SG 04 2022-23), accessed 2026-10-21. https://nmhs.org.in/SG_04_2022_23.php
  5. van Hoorn et al., "Machine learning-based identification of plastic types using handheld spectrometers", Sensors 25(12):3777, 2025. https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:40573663&format=json
  6. trinamiX, "Plastic identification", accessed 2026-10-21. https://trinamixsensing.com/application/plastic-identification/

For illustration only. Names are fictional and ideas hypothetical; sourced facts are real but may be out of date. Nothing here is legal, financial or professional advice, and Yash Khatri is not personally liable for any use of it. Read the full disclaimer.

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