The AI-driven parking design engine developed for the commercial real estate sector in India. Optimize parking designs in 10 minutes, not days. Unleash 5-15% additional parking capacity from the same land area. Avoid rejection of designs due to compliance issues
Used by leading commercial real estate developers and architecture firms across Hyderabad, Bangalore, and Mumbai
Smart Parking System
(25 hours → 10 minutes)
(₹50–₹300L revenue)
(Zero rejections)
(Native CAD integration)
Parking design is costing you time, money, and regulatory headaches.
All parking designs are done manually. Move a column? Redesign 20+ bays. Rejected by the authority? Entire design needs to be done again.
National Building Code has 10+ stringent parking standards (turning radius, aisle width, PH bays, ramp landings). Violate one, and the project gets rejected by the civic body. Most designs get rejected after submission, requiring costly redesigns.
Manual designs can only capture 85-90% of the maximum parking capacity. Dead space, inefficient circulation paths, and inefficient angles. This translates to 650 parking spots instead of 750, resulting in lost revenue of ₹50-₹300 lakh on a single project.
Column locations, ramp locations, and lift cores do not coordinate well with parking designs. Emails back and forth. No what-if analysis. No single point of truth. This leads to either inefficient parking designs or inefficient structural designs or a 2-week delay.
PH bays placed in tandem positions. Ramp entries too close to aisles. Missing landing distances. Municipal inspector flags issues after submission. Redesign, reschedule, reputation damage.
Four simple steps to NBC-compliant, optimized parking layouts
Import any DXF or DWG file directly from your CAD system. No redrawing. No simplification. Just upload.
Define bay dimensions, aisle widths, PH requirements, parking target. AI auto-calculates compliance needs per NBC 2016.
In seconds, the engine tests thousands of configurations. Detects columns, obstacles, ramps. Optimizes layout. Checks all 8 NBC rules.
Review layout. Make manual tweaks if needed. Export contractor-ready CAD with layers, annotations, color-coding.



Every feature designed to save time, maximize revenue, and guarantee compliance.
Parking AI absorbs dead space when sweat, a 4,900 mm column span yields 3 spaces with waste. Placing AI yields 4 spaces. By distributing 900 mm intelligently across bays, On a 6-level basement that's, 15–45 extra spaces = ₹5–₹45 lakh revenue gain.
Before you see the layout, Parking AI validates:
One issue found? AI suggests auto-repair. One click to fix.
Works directly with DXF and DWG files. No redrawing required. Exports contractor-ready CAD with proper layers, color-coding, annotations. Architects never leave their CAD workflow.
You're in control. Move a column? AI updates surrounding bays instantly. Swap a bay to 4-wheeler? System re-validates in real time. Full version control (RI saved edit, RI backed undo etc.)
Design backward from parking target. Set your goal (750 spaces), and the engine calculates if it's feasible. If not, it tells you why and suggests solutions (add a level, expand the ramp, etc.)
Residual zones classified: If 'Can a 2km × 2km bike bay fit more efficient than forcing car parking', the engine auto-converts and flags it for your approval.
Direct comparison with market alternatives.
Book a demo to see Parking AI in action (5 minutes).
No. Parking design is 10% of architectural work. Parking AI eliminates the tedious, repetitive part (31 hours of manual drafting), freeing your architects to focus on building aesthetics, user experience, sustainability—the value-add work. This tool makes architects more valuable, not less.
100% for the built-in checks. The AI compliance rules (turning radius, aisle width, bay dimensions, PH access, junction logic, fire exit aisles, stacking distances) are NBC 2016 standards and automatically validated. If something violates a rule, the design won't export and we'll show Error: Some invalid/join has additional constraints (early MVP). Instead review.
The tool tells you upfront: "It runs a constraint analysis and reports: 'Row 7B6 space target requires bay widths of 2.4m, which is below NBC minimum of 2.5m. Recommended: Design for 650 spaces, or add a 4th basement level, or convert one level to mixed-use parking + retail.'" This clarity coming early design saves weeks of wasted effort.
Yes. You can draw a simple floor plan in any CAD tool (even SketchUp, then export as DWG), or manually draw it fully at the boundary and column grid we defined. Parking AI can work with it. No need for detailed architectural plans—parking design only needs structural and boundary info.
Parking AI is optimized for standard ramp-based structural parking (the 98% use case in India). Mechanical parking systems (puzzle parking, stack parking, car-skid automation) have different logic and are currently outside scope. We're evaluating mechanical parking as a future feature (2026 roadmap).
For standard NBC 2016, no customization needed—rules are built in. For specific municipal variations or unusual site constraints, we can discuss custom rule sets (Enterprise tier only; additional fees apply). Contact our sales team for details.
Join developers and architects who ve reclaimed 25+ hours per project and recovered ₹50L+ in parking revenue.