Bikeglow

Sensor lights that map where factory workers on bicycles get squeezed

Employers IoT

TL;DR Bikeglow gives factory shift workers who cycle to work a free sensor light. The lights log swerves, hard stops and close passes on their real routes. The employer gets a map of the worst spots and an evidence pack to take to the road owner. Employers pay per site per year.

The problem

In a lot of India the bicycle is a work vehicle - heavy roadster bikes ridden by factory and construction workers at dawn and after night shifts. Two 2026 studies from Delhi show how exposed they are. In a cohort of 844 cyclists, only 3% of crashes reached the police, and the injury rate was 60–200 times higher than in Denmark, Germany or the Netherlands[1]. A study of 50 fatal crash sites in peri-urban Delhi found that a U-turn on the road raised the odds of a cyclist death 4.4 times[2].

So the danger sits in specific places you can actually fix. But almost none of it gets recorded, and the people who could fix it never see it.

The idea

Bikeglow works with one employer at a time. It gives 100–300 workers who cycle a bright rear light with motion sensors and a link to a basic phone app. The light records sudden swerves, hard braking and, using its sensors, the pattern of a vehicle passing too close. Nothing in the reports is tied to a worker's name and the employer never sees individual trips.

After six to eight weeks the employer gets a route map showing where its workers get squeezed, like a median cut used as a U-turn, a junction outside the gate or an unlit stretch by a bus stand. Each spot comes with a short evidence sheet and a suggested fix. The employer takes it to the municipality, the state road department or the highway authority, often with the local industry association in tow.

The seed pitched a device that prevents collisions, and I don't buy it. A gadget on a roadster bicycle can't stop a truck. Of 78 studies on cyclist warning gadgets pulled together in a 2025 review, just two attempted to measure any effect on crashes[3]. Fixing the road is what works.

Who pays

The employer pays. Health and safety heads at large plants in industrial belts already spend on commute safety, and a worker hurt on the way to a shift is their problem too. My test price is ₹5–12 L per site per year, which is an assumption. Industrial area associations are a second buyer, and road agencies may pay later once the data has a track record.

Why now

The 2019 amendment to the Motor Vehicles Act lets contractors be fined up to ₹1 lakh for failing road design standards and created a National Road Safety Board[4]. Sensor lights that send data to cities are now proven abroad[5]. The two Delhi studies are fresh and they give employers a local reason to act.

Market signal

No public figure exists for employer spending on worker commute safety in India. The nearest neighbour is a UK smart-light maker that says its sensor bike lights are used in 20+ cities, with over 200,000 devices sold and projects starting at 200 cyclists[5]. Its pitch is aimed at councils. Here the first buyer is more likely to be the employer.

Who's already doing this

That maker sells smart lights, about ₹15,400–25,600 a set (£119.99–199.99), and anonymised data on near misses, braking and road surfaces to councils[5][6]. Big sports-electronics brands sell rear radar lights with cameras for keen cyclists[7]. Neither is built for Indian shift workers or employers. Nobody we found in India maps cyclist close passes for employers.

How hard is it?

Difficulty Moderate (41/100)
Starting capital ₹45–85 L
Time to launch 6–9 months

The hard parts are a light cheap enough to hand out by the hundred, spotting close passes reliably from a moving bicycle and getting a road owner to act on the report. Workers also need to trust that the light is not an attendance tracker in disguise.

Licences and approvals

No sector licence applies to selling the lights or the road reports, as far as we found.

  • WPC equipment type approval from the Department of Telecommunications' WPC wing for Bluetooth lights, before you import or hand them out[8].
  • DPDP Act compliance before the first pilot. Location traces are personal data, riding with a light can't be a condition of the job, and the employer never sees trip-level data[9].
  • Motor Vehicles (Amendment) Act 2019 lets authorities fine contractors for poor road design, so cite design faults carefully and factually in every report[4].
  • Company registration with the MCA and GST registration once you cross the threshold, since GST applies to both the lights and the reports.

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

How AI can power this business

  • Close-pass detection. Learn the sensor pattern of a vehicle passing too close on a roadster bicycle, which is the hardest signal to read and the core of the evidence.
  • Hotspot mapping. Cluster swerves and hard braking across hundreds of riders into a short list of spots, so the report names five junctions and not five hundred points.
  • Evidence sheets. Draft the one-page sheet for each spot with the pattern, times of day and a standard fix, for a road-safety person to check.
  • Before and after checks. Compare events at a spot before and after a fix, so the employer can show the road owner that the change worked.

Don't let AI present a suggested fix as an approved design, or pin blame on a contractor. A qualified engineer judges both.

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

Biggest risks

Here's what can go south -

  • Reports gather dust. If no municipality or highway office acts on the findings then employers will stop renewing after the first year.
  • Trust. Workers who suspect the light is an attendance tracker will leave it at home.
  • Detection quality. Sensor-only close-pass detection may be too noisy to convince engineers.

Our take

I'd call this a fit for a founder with hardware sourcing skills and contacts in an industrial belt's safety or CSR circles. If you're expecting fast government contracts then look elsewhere. Prove first that one employer will pay for a pilot and that one road owner acts on at least one spot within six months.

Questions founders ask

Expect roughly ₹45–85 L, most of it on lights for the first few hundred riders and the analysis to turn their data into road reports.

Do I need a licence to sell smart bike lights in India?

No sector licence, but Bluetooth lights need WPC equipment type approval, and the location data falls under the DPDP Act.

Can I start a commuter cyclist safety service in another country?

Yes, anywhere workers cycle on unsafe roads to factories. Check local radio approvals and data protection law, and who owns the roads you'll report on.

Download the kit

The free Bikeglow validation kit has the line-by-line capital breakdown, the effort scoring, the data-protection and device checklist, a 14-day validation sprint with pass/fail targets, a 90-day launch plan, 10 interview questions for employers and workers, and 5 assumptions to test. Download the kit →

Talk to Yash

Thinking about building Bikeglow or something close to it? The make-or-break work is turning a map of danger spots into a fix that a road owner actually makes, and I'm happy to help you think that through. If you need a hand, you know where to find me. Talk to Yash →

Sources

  1. Agrawal & Goel, "Characteristics and incidence rates of self-reported bicycle crashes in Delhi: a cohort study", Injury Prevention, 2026-09. https://europepmc.org/article/MED/42711113
  2. Paturi, Agrawal, Bilam, Bhalla & Goel, "Case-control study of fatal bicycle crashes in peri-urban areas of Delhi", Injury Prevention, 2026. https://pmc.ncbi.nlm.nih.gov/articles/PMC12018589/
  3. Jannah, Moridpour, Tay & Du, "Cyclist safety in the digital age: a review of advanced warning technologies", Accident Analysis and Prevention, 2025. https://europepmc.org/article/MED/40286445
  4. PRS Legislative Research, "The Motor Vehicles (Amendment) Bill, 2019". https://prsindia.org/billtrack/the-motor-vehicles-amendment-bill-2019
  5. See.Sense, official site, accessed 2026-10-18. https://seesense.cc/
  6. See.Sense, "Smart cycling projects", accessed 2026-10-18. https://seesense.cc/pages/smart-cycling-projects
  7. Garmin, "Varia RCT715", accessed 2026-10-18. https://www.garmin.com/en-US/p/721258
  8. Bureau Veritas CPS, "India WPC ETA through self-declaration", 2019-04-12. https://www.cps.bureauveritas.com/newsroom/india-wpc-wing-introduce-equipment-type-approval-eta-through-self-declaration-saral
  9. PRS Legislative Research, "Digital Personal Data Protection Bill 2023", 2023-08. https://prsindia.org/billtrack/digital-personal-data-protection-bill-2023

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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