Engineering intelligent systems for a data‑driven world.
Cloud9Space is a specialist engineering team for AI, data and geospatial systems. We take them from first architecture to production, built to hold up under real-world data.
Who we are
Where AI meets data and geography.
We build AI systems that understand your data and the world it describes.
Cloud9Space is an engineering company founded in Pune in 2023. We started with geospatial systems and grew into data platforms and applied AI. Today we build complete products for enterprises, consulting firms and technology companies.
- Specialists
- AI, data and geospatial engineering is all we do.
- One team
- The same engineers own the system end to end.
- Built to run
- We measure success in production, not in demos.
What we engineer
Five capabilities, designed to work as one system.
Each practice stands on its own. The value comes from how they combine: data that feeds models, models that understand location and software that puts both in front of people.
AI & Intelligent Systems
AI that survives contact with production.
We build AI systems that run inside real workflows: retrieval-augmented assistants over enterprise data, agents that call your systems safely, vision models on imagery and predictive models with the evaluation and monitoring needed to trust them.
- Generative AI
- Machine learning
- Computer vision
- NLP
- AI agents
- AI-assisted decision systems
- MLOps
- Python
- PyTorch
- TensorFlow
- LangChain
- LangGraph
- LLM APIs
Our differentiator
Four disciplines. One system.
Most firms are strong in one of these. Real operational problems need all four at once, so we design them together from day one.
- AI
- Models that classify, predict, retrieve and reason, evaluated against real cases.
- Data
- Governed pipelines and metric layers that every model and dashboard can trust.
- Geospatial
- Where things happen: territories, parcels, routes, terrain and exposure to risk.
- Engineering
- Applications, APIs and cloud infrastructure that put the result in front of users.
AI engineering
From AI experiments to production systems.
Calling a model API is the easy part. Useful AI depends on the data underneath it, the architecture around it, an honest way to measure it and the engineering to run it every day.
Data foundations
Quality, coverage, governance
Retrieval & context
Indexes, semantic & spatial joins
Models & agents
LLMs, ML, vision, tool use
Evaluation
Test sets, acceptance bars
Deployment
APIs, CI/CD, access control
Monitoring
Drift, cost, feedback
Geospatial intelligence
Intelligence, with location as context.
Geospatial engineering is where Cloud9Space began and it is what separates us from general AI and software firms. We work with imagery, terrain and vector data at production scale and connect it to the business systems that act on it.
- Satellite imagery
- Change detection across seasons and years
- Remote sensing
- Vegetation, water and land-cover signals
- Raster analytics
- Terrain, elevation and volume analysis
- Vector analytics
- Parcels, boundaries, routes and catchments
- Spatial databases
- Fast queries over millions of features
- GeoAI
- Segmentation and classification on imagery
- Location intelligence
- Outlets, territories and coverage
- Geospatial dashboards
- Planning and monitoring on a map
- Large-scale rendering
- Dense map data, smooth in the browser
- Spatial APIs
- Geocoding, distance, hazard-zone checks
Engineering approach
From problem to production.
A delivery framework built around engineering checkpoints. Each stage produces something you can inspect.
Discover
Understand the business objective, the users, the data that exists and the constraints that matter.
Architect
Design the system: data flows, services, models, spatial layers and the cloud footprint.
Engineer
Build software, pipelines, models and maps in short, demonstrable increments.
Validate
Automated tests, model evaluation, security review and performance checks against agreed criteria.
Deploy
Infrastructure as code, CI/CD, monitoring and runbooks for a production-ready release.
Scale
Optimise cost and performance, extend features and support the system in operation.
The team behind the systems.
Engineers across AI, data, GIS, software and cloud, working as one team on every engagement.
Gaurav Panchi
Senior Quality Analyst
Sakshi Jain
Software Engineer - Full Stack
Carina Jose
Associate Product Manager
Shubham Shewdikar
Director & Founder
Sakshi Deshpande
Senior Software Engineer - Full Stack
Sarang Joshi
Software Engineer - Full Stack
Shivani Lad
Software Engineer - Full Stack
Start a conversation
Bring us the hard problem.
Tell us what you are trying to build and the constraints you are working within. We will come back with how we would approach it.