● Pre-launch Patent filed · India 2025 Incubated at AIC IISER Pune & IISER Bhopal

AI that reads the city, street by street.

Fig. 01 — Pick a traveller, flip day / night. Streets recolour by model score; the route re-computes. Illustrative sandbox — not live city data

Patent filedPerception-based routing · India 2025

AIC IISER PuneAtal Incubation Centre · Seed grant

IISER BhopalSIG grant · Industry-Academia Conclave

Study areasMumbai · Bhopal · Kerala · Paris

What we build

Three ways to use a city that scores itself.

One model family underneath: spatiotemporal vision models trained on street imagery, 3D reconstruction, LiDAR, and on-ground surveys.

Street scoring engine

Every street segment scored on visual signals — safety, accessibility, liveliness, comfort — conditioned on time of day, weather, and who is travelling.

REST API · GeoJSON tiles

Routing that fits the traveller

Routes picked by how streets serve the person on them — step-free paths for wheelchair users, well-lit streets after dark, clearance-aware roads for ambulances and fire trucks.

Navigation engine · SDK

City data & dashboards

Ward-level maps of how streets perform, for planners and agencies. Synthetic night, fog, and rain scenes fill the data gaps real capture always leaves.

Dashboards · Synthetic scenes

How it works

From street imagery to a route that fits.

01 · Capture

See the street

Street-view imagery, 360° capture, LiDAR sweeps, and on-ground surveys — day and night, dry and monsoon.

02 · Generate

Fill the gaps

Synthetic night, fog, and rain scenes, so the model reasons about conditions no capture van ever drove through.

03 · Score

Read every segment

Vision models score each street on safety, accessibility, liveliness, and more — validated against human surveys.

04 · Serve

Route & report

Scores become routes, APIs, and dashboards — for the traveller, the planner, and the platform in between.

Who it's for

Built with cities, labs, and platforms.

Government

Smart City & development authorities

Accessibility audits, safety mapping, and mobility planning that sit alongside your existing GIS stack — not in place of it.

Start a pilot →

Research

University labs & urban researchers

We grew out of IISER Bhopal and publish our methods. Open to collaborations with planning schools and civic-data labs.

See the research →

Platforms

Real-estate & mobility products

Liveability scores for listings and traveller-aware routing for mobility apps — street-level signals through one API.

Talk integration →

Research

The science underneath.

We are researchers first. The methods get published; the production stack stays ours.

Patent · Filed 2025

Perception-based urban routing

A method for scoring street segments along multiple perceptual axes — conditioned on time, weather, and traveller — and routing over those scores. Filed in India.

Paper · In preparation

Cross-city generalization

How a model trained on Indian street scenes transfers to a structurally different urban fabric like Paris — and the failure modes at the boundary.

Benchmark · In preparation

Day–night street scoring

Paired day–night street imagery for evaluating how scores shift after dark — slated for public release alongside our first paper.

Team

Built by PhD researchers at IISER Bhopal.

Co-founder · Director

Prachi

PhD scholar, Data Science & Engineering, IISER Bhopal. AI modelling and geospatial analytics.

Website ↗

Co-founder · Director

Pyare Lal

PhD scholar, Data Science & Engineering, IISER Bhopal. AI, LiDAR, and 2D & 3D vision for urban environments.

Website ↗

Mentor · Faculty advisor

Dr. Vaibhav Kumar

Assistant Professor, Data Science & Engineering, IISER Bhopal. Strategic guidance and academic-industry linkage.

Website ↗

Company

A lab that became a company.

Netrica.AI grew out of doctoral research at IISER Bhopal into how cities can be measured from what they look like. Today it is a pre-launch company with a filed patent, seed support from two IISER incubators, and study areas across India and France.

Stage: Pre-launch · Private beta
Patent: Filed · India 2025
Incubation: AIC IISER Pune · IICE IISER Bhopal
Grants: AIC Seed · SIG (IISER Bhopal)

Netrica.AI co-founders at IISER Bhopal — Co-founders · IICEIISER Bhopal

Receiving the SIG grant at IISER Bhopal — SIG grant

Receiving the AIC seed grant at IISER Pune — AIC seed grant

FAQ

Questions worth answering up front.

What exactly does the model score?

Visual signals per street segment: safety (including a separate women's-safety dimension), accessibility, liveliness, beauty, walkability, and more. Every score is conditioned on time of day, weather, and the traveller's needs.

Where are you working today?

Study areas in Mumbai, Bhopal, and Kerala, with a cross-city generalization study in Paris. We are in conversations with development authorities on first deployments.

Why synthetic data?

Cities are hard to capture in fog, in rain, at 2 a.m. — and that is precisely when scores change most. We generate the missing scenes so the model can reason about conditions the capture van never saw.

Is the technology protected?

A patent for our perception-based routing method is filed in India, with a second application in preparation. Methods get published; the production stack is proprietary.

How do emergency vehicles fit in?

Ambulances and fire trucks are first-class travellers in the routing engine. The model accounts for road width, canopy, and overhead wires — exactly what generic mapping misses in dense urban fabric.

Pilots & partnerships

Tell us about your city.

Planner, researcher, or product team — write to us about your streets and we'll reply within two business days. No sales script.

netrica.ai@gmail.com
+91 95660 65406
Main Building, 2nd Floor, IISER Bhopal — 462066

Start a conversation

One email is enough — tell us who you are and which streets you care about.

Email the founders →

We read everything ourselves.