


AI for Construction QA/QC
AI for Construction QA/QC
Automatically detect & track every defect across trades on your site.
Automatically detect & track every defect across trades on your site.
AI for Construction QA/QC
Automatically detect & track every defect across trades on your site.
How does it work?
How does it work?
How does it work?
Defects
AI for all defects!
AI for all defects!
The trades shown are supported by our AI models. Any visual/dimensional deviation defect can be detected and marked on the floorplan
The trades shown are supported by our AI models. Any visual/dimensional deviation defect can be detected and marked on the floorplan
Add Notes
Add Checklists
Raise RFIs
Track defect status
Foundation
Foundation
Structural/RCC
Structural/RCC
Masonry/Brickwork
Masonry/Brickwork
All MEPF trades
All MEPF trades
Plastering
Plastering
Finishing/Painting
Finishing/Painting
Fitouts/Utilities
Fitouts/Utilities
Interiors
Interiors
Basement & G level
Basement & G level
Structural - No defects
Masonry - 4 defects
MEPF - 12 defects
G to UG level
G to UG level
Structural - 3 defects
Masonry - 6 defects
MEPF - 2 defects
UG to G+10 levels
UG to G+10 levels
Structural - No defects
Masonry - No defects
MEPF - No defects
Harshil
Workflows
Quality Management
Quality Management
Build a 30mm accurate 3D model of the site using 360 cameras attached to your hard-hats.
Our AI automatically detects defects and marks them on the floorplan for your teams.
Keep track of changes in a particular defect across time, and solve them faster.
Build a ~30mm accurate 3D model of the site using helmet mounted 360cameras.
Our AI automatically detects defects and marks them on the floorplan for your teams.
Keep track of changes in a particular defect across time, and solve them faster.
Build a 30mm accurate 3D model of the site using 360 cameras attached to your hard-hats.
Our AI automatically detects defects and marks them on the floorplan for your teams.
Keep track of changes in a particular defect across time, and solve them faster.
30mm accuracy
Complete site documentation
Visual snag management
No Manual Data Entry
About the Founders
About the Founders
About the Founders
CEO
Harshil Naik
Harshil Naik
Harshil Naik
B.Tech - IIT Bombay
Prev. Autonomy Lead at Airbound.
Background in Robotics + 3D Computer Vision applied to drones for inspection, surveillance & monitoring.
Family Background in heavy engineering, fabrication and civil work. Here's where Harshil first noticed the problem of
paper-heavy workflows faced by every developer/GC/PMC.
B.Tech - IIT Bombay
Prev. Autonomy Lead at Airbound.
Background in Robotics + 3D Computer Vision applied to drones for inspection, surveillance & monitoring.
Family Background in heavy engineering, fabrication and civil work. Here's where Harshil first noticed the problem of
paper-heavy workflows faced by every developer/GC/PMC.
B.Tech - IIT Bombay
Prev. Autonomy Lead at Airbound.
Background in Robotics + 3D Computer Vision applied to drones for inspection, surveillance & monitoring.
Family Background in heavy engineering, fabrication and civil work. Here's where Harshil first noticed the problem of
paper-heavy workflows faced by every developer/GC/PMC.
CTO
Kanao Ramesh
Kanao Ramesh
Kanao Ramesh
B.Tech + M.Tech (Dual Degree) - IIT Madras
Ex-Founder at EPlane.ai, past AI Eng+product at Mad Street Den, Hyperverge, HSBC, Conxai (CCTV based surveillance for construction sites in Europe).
Background in Computer Vision, Enterprise AI deployments.
At Conxai, Kanao noticed the problem of manual data entry faced by every developer/GC/PMC.
B.Tech + M.Tech (Dual Degree) - IIT Madras
Ex-Founder at EPlane.ai, past AI Eng+product at Mad Street Den, Hyperverge, HSBC, Conxai (CCTV based surveillance for construction sites in Europe).
Background in Computer Vision, Enterprise AI deployments.
At Conxai, Kanao noticed the problem of manual data entry faced by every developer/GC/PMC.
B.Tech + M.Tech (Dual Degree) - IIT Madras
Ex-Founder at EPlane.ai, past AI Eng+product at Mad Street Den, Hyperverge, HSBC, Conxai (CCTV based surveillance for construction sites in Europe).
Background in Computer Vision, Enterprise AI deployments.
At Conxai, Kanao noticed the problem of manual data entry faced by every developer/GC/PMC.


