AIR-Ai

Building road intelligence for governments. AI-powered inspections, analytics & data-driven decision-making. Road by road. Ward by ward. Citywide.

[AIR-Ai @AIRAi72]

AIR-Ai was demonstrated to Hon’ble Minister Shri Priyank Kharge, Minister for IT & BT and District In-charge Minister for Kalaburagi. The Minister was briefed on the platform by the Kalaburagi district administration, reviewing ward-level road condition data, pothole evidence and the AI-generated assessment for the city.@PriyankKharge

[AIR-Ai @AIRAi72]

@bmcbbsr @BSCL_BBSR @MayorofBBSR @BDA_BBSR @AshokPradhanTOI @TapasReporter @safabhubaneswar

[AIR-Ai @AIRAi72]

Permissions show where digging is allowed.
AIR-Ai shows where roads are actually cut.
@bmcbbsr, you'd get one dashboard with every utility cut, pothole count and ward-wise C0–C4 condition. 7,000+ km already scanned. Could we have a 15-min Google Meet to discuss its viability? #SmartCities

[AIR-Ai @AIRAi72]

Sir @krishnabgowda, 824 km road surveyed in Byatarayanapura division and found 6000 road defects. AIR-Ai turns road defects into mapped evidence for smarter repairs and budgets. Could we have a 15-min Google Meet to walk you through the findings? Explore our work: https://t.co/wHwPb1Bw9z

[AIR-Ai @AIRAi72]

@bmcbbsr @bmcbbsr, @BSCL_BBSR @MayorofBBSR @BDA_BBSR

[AIR-Ai @AIRAi72]

Sir @krishnabgowda , primary cause of road damage in the city is due to utility cuts , this issue needs to be addressed first . AIR-Ai survey found 14 thousand utility cuts just in Bangalore north city corporation.

learn more at https://t.co/waIS8VIjOX

[Sumanth ಸುಮಂತ್ @sumanthchandar]

What's this new headache we need to endure and for how many months

@ecitycredence
@ChristinMP_
@arunkmurthy

[AIR-Ai @AIRAi72]

@bmcbbsr @HUDDeptOdisha @MoHUA_India @IPR_Odisha @CMO_Odisha @SwachhBharatGov @MoJSDDWS https://t.co/rJXV1mHgyj

[AIR-Ai @AIRAi72]

Permissions show where digging is allowed.
AIR-Ai shows where roads are actually cut.
@bmcbbsr, you'd get one dashboard with every utility cut, pothole count and ward-wise C0–C4 condition. 7,000+ km already scanned. Could we have a 15-min Google Meet to discuss its viability? #SmartCities

[AIR-Ai @AIRAi72]

@bmcbbsr @HUDDeptOdisha @MoHUA_India @IPR_Odisha @CMO_Odisha https://t.co/rJXV1mHgyj

[AIR-Ai @AIRAi72]

Permissions show where digging is allowed.
AIR-Ai shows where roads are actually cut.
@bmcbbsr, you'd get one dashboard with every utility cut, pothole count and ward-wise C0–C4 condition. 7,000+ km already scanned. Could we have a 15-min Google Meet to discuss its viability? #SmartCities

[AIR-Ai @AIRAi72]

@AmdavadAMC @PMOIndia @CMOGuj @HiteshBarotBJP @PIBAhmedabad @InfoGujarat @infoahdgog @MyGovGujarati @DDNewsGujarati https://t.co/kDkvryjaVR

[AIR-Ai @AIRAi72]

Complaints show where people noticed.
AIR-Ai shows every road.
@AmdavadAMC, AIR-Ai provides a city dashboard with pothole counts, utility cuts and ward-wise C0–C4 condition, built from 7,000+ km already scanned in Karnataka. Could we have a 15-min Google Meet to discuss this further.

[AIR-Ai @AIRAi72]

@TMCaTweetAway Learn more at https://t.co/waIS8VHLZp

[AIR-Ai @AIRAi72]

Fast repairs need fast data. @TMCaTweetAway, AIR-Ai scans every road in the city and shows pothole counts, utility cuts and ward-wise C0–C4 condition on one dashboard. 7,000+ km already scanned. Open to a 15-min Google Meet? #Thane

[AIR-Ai @AIRAi72]

Sir @krishnabgowda, 824 km road surveyed in Byatarayanapura division and found 6000 road defects. AIR-Ai turns road defects into mapped evidence for smarter repairs and budgets. Could we have a 15-min Google Meet to walk you through the findings? Explore our work: https://t.co/wHwPb1Bw9z

[AIR-Ai @AIRAi72]

Complaints show where people noticed.
AIR-Ai shows every road.
@AmdavadAMC, AIR-Ai provides a city dashboard with pothole counts, utility cuts and ward-wise C0–C4 condition, built from 7,000+ km already scanned in Karnataka. Could we have a 15-min Google Meet to discuss this further.

[AIR-Ai @AIRAi72]

Sir @krishnabgowda, 824 km road surveyed in Byatarayanapura division and found 6000 road defects. AIR-Ai turns road defects into mapped evidence for smarter repairs and budgets. Could we have a 15-min Google Meet to walk you through the findings? Explore our work: https://t.co/wHwPb1Bw9z

[AIR-Ai @AIRAi72]

The time for data-driven road maintenance is now.

A complaint tells us a road problem is already affecting someone. Regular road inspections can flag deterioration earlier.

AIR-Ai helps cities move from waiting for complaints to planning repairs with evidence.

learn more at https://t.co/HE673ffz2J

[AIR-Ai @AIRAi72]

A defect photo shows one problem. Start-to-end road imagery shows the bigger picture.

AIR-Ai captures imagery along the full road, helping governments assess its overall condition, understand how widespread the damage is and plan repairs accordingly.

700 images of Vishwanatha-nagenhalli main road has revealed extensive utility damage . The road needs immediate attention.

learn more at https://t.co/HE673ffz2J

[AIR-Ai @AIRAi72]

A pothole is visible. The condition of thousands of roads across a city is harder to see.

AIR-Ai brings road imagery and defect data into one view, helping governments understand where attention is needed, road by road and ward by ward.

learn more at https://t.co/waIS8VIjOX

[AIR-Ai @AIRAi72]

Traffic and weather constantly wear roads down. Monitoring thousands of road segments needs technology.

AIR-Ai uses road imagery and AI to detect defects. Colour-coded road maps help governments prioritise repairs, monitor road conditions and plan maintenance.

[AIR-Ai @AIRAi72]

@ashwinmahesh Yes sir, we at air-ai are collecting structured data, road by road ,ward by ward , citywide.

[AIR-Ai @AIRAi72]

@PMCPune @navalMH , @MDNagpure

[AIR-Ai @AIRAi72]

@PMCPune Manual road surveys take weeks and still miss stretches.
> AIR-Ai scans the city, maps every road, and gives structured condition data ward by ward — so decisions rest on a complete picture, not scattered field notes.
> Live in Bengaluru & Kalaburagi. 7,000+ km already.

[AIR-Ai @AIRAi72]

What AIR-Ai gives a corporation:
> City dashboard
> Every road mapped start to end
> Pothole counts
> Utility cuts & inspection notes on the map
> Ward-wise roads in classified condition (C0–C4)
Give us 15 minutes in google meet to discuss viability of AIR-Ai data to Pune municipal corporation.

[AIR-Ai @AIRAi72]

@sarkarvpvp yes sir , you are right . Although we have old data of 16feb2026 , it appears to be a kaccha road in our data set

[AIR-Ai @AIRAi72]

Inspection notes analysis tell us that bulk of this ~6000 road defects are utility cuts . AIR-Ai found 4,756 localised utility cut (from home to manhole chamber) and 501 long utility trench (that spans along the longitudinal length of the road).

[AIR-Ai @AIRAi72]

Sir @krishnabgowda, 824 km road surveyed in Byatarayanapura division and found 6000 road defects. AIR-Ai turns road defects into mapped evidence for smarter repairs and budgets. Could we have a 15-min Google Meet to walk you through the findings? Explore our work: https://t.co/wHwPb1Bw9z

[AIR-Ai @AIRAi72]

@anewalok Definitely Sir, AIR -Ai will be glad to work with noida corporation and deliver city wide road inspection data.we can do road inspection in a month and provide all the data required.