Smart Cities
Energy demand prediction, dynamic waste routing, and real-time occupancy detection with computer vision.
- Vehicle flow models
- Infrastructure segmentation
- Anomaly alerts
AI + territory
Trained models for smart cities, digital farming, and geospatial vision.
Rohan designs and trains predictive, segmentation, and monitoring models that understand the physical world. Satellite data, IoT, and mobility in a single intelligence layer.
Launch KPIs
10x faster prototyping
21 cm mean parcel accuracy
48 h from data to decision
Crop health
Water stress risk
Drone route
Telemetry
92%
Detected coverage
18k
Indexed hectares
0.87
Segmentation IoU
Where we accelerate
We train models that deliver decisions in hours, not months.
Integrating satellite data, in-field sensors, and urban mobility to generate operational-grade predictions.
Agri-Tech
Vigor indices, optimal irrigation, and plant counting combining multispectral imagery and IoT sensors.
- NDVI/NDRE inference
- Water stress detection
- Input recommendations
Geospatial
Mosaic pipelines, object detection, and asset tracking with self-supervised models.
- Change detection
- Fleet tracking
- Critical infrastructure
Recent work
From prototype to production with reproducible infra.
Agricultural digital twin
Parcels, weather, and sensors integrated to simulate optimal irrigation. Water usage reduced by 27%.
View project →Urban heat map
Ridership and mobility models for public transit to prioritize micro-interventions and reversible lanes.
View project →Climate risk detection
Automatic flood classification with SAR and optical imagery to trigger parametric insurance.
View project →Team
Meet the founders building Rohan.
AI, geospatial, and operations veterans with a bias for shipping pilots fast.
Adriana Di Ávila
CTO · Cloud & AI Systems — AWS Community Builder in AI,
leading cloud engineering initiatives and building inclusive tech communities.
Cesar Mendez
CEO · Data Intelligence — Data engineer specializing in smart cities, IoT analytics, and AI platforms;
active community leader and NASA Space Apps finalist.
María Fernanda
Research · Data Science & ML — Focused on data-driven software,
combining Python, machine learning, and analytical research for practical AI solutions.
Let’s map your case
Tell us your challenge and we’ll run a data sprint in 10 days.
We train, evaluate, and deploy a pilot with your own layers. Full-stack ML + geospatial team on demand.