Where applied research meets research infrastructure.
Nebula Cloud Labs is the research and experimentation platform of Nebula Cloud. We develop applied research across spatial intelligence, engineering, agentic systems, physical AI, document intelligence and efficient AI — while providing researchers, universities and R&D organizations with the computing environments needed to advance their own work.
We investigate emerging technologies, build prototypes, test new approaches, benchmark results and translate promising research into capabilities across Nebula Cloud Studio, Workbenches and the wider platform.
Explore Research →Nebula Cloud provides researchers and institutions with reproducible AI, GPU, HPC, engineering, spatial and scientific computing environments without the burden of building and maintaining complex infrastructure.
Explore Research Infrastructure →Applied Research
Active areas where Nebula Cloud Labs investigates, experiments and builds.
GeoAI, Earth observation, remote sensing, computer vision, mapping, change detection, feature extraction, point clouds, 3D reconstruction and digital twins.
AI-assisted CFD, CAE, CAD/BIM, simulation, scientific computing and autonomous engineering workflows.
Autonomous execution, capability routing, tool orchestration, computer use, verification, recovery, supervisors and multi-agent systems.
Robotics, autonomous systems, simulation, ROS 2, CARLA, Autoware and embodied intelligence.
Efficient inference, constrained-resource AI, local models, cloud/local/hybrid execution, AI appliances and model-runtime research.
Multimodal understanding, OCR, retrieval, evidence extraction, knowledge graphs, document reasoning and autonomous document workflows.
Featured
Toward accurate building footprint extraction from high-resolution imagery using open and reproducible spatial-AI workflows.
Evidence-first discovery, verification, comparison and intelligence across fragmented public geospatial data, demonstrated through GeoIndia.
Cloud pipeline transforming Revit/IFC into lightweight web-ready 3D assets and structured BIM metadata through one REST API.
Research into bridging 3D visualization, sensor data, simulation and operational context into functional digital twin prototypes.
Evidence-aware document understanding, retrieval, knowledge graphs and autonomous execution across complex document collections.
Exploring model execution strategies, quantization, efficient inference and resource-aware scheduling for constrained environments.
Using Nebula Cloud Studio to reason across engineering applications, execute simulations and verify outputs with autonomous multi-step orchestration.
For Researchers & Institutions
Run AI, engineering, scientific and data-intensive research in reproducible environments built on Nebula Cloud.
Shared GPU pools, per-faculty workspaces, student provisioning and grant-linked resource allocation.
Dedicated HPC environments, large-scale data processing, and long-running computational experiments.
GPU workbenches, experiment tracking, reproducible environments and publication-ready outputs.
On-demand compute, collaboration tools, dataset management and version-controlled research environments.
Accessible GPU environments, guided workflows, shared datasets and collaborative project spaces.
Enterprise-grade research computing with governance, security, compliance and multi-team coordination.
Environments
PyTorch, TensorFlow, Jupyter, experiment tracking, model registry, distributed training and GPU-accelerated inference.
MPI, OpenFOAM, GROMACS, molecular dynamics, climate modelling, parallel computing and batch scheduling.
FreeCAD, OpenFOAM, CalculiX, CFD, FEA, parametric design and structural analysis.
QGIS, GDAL, PostGIS, satellite imagery processing, point clouds, terrain analysis and GeoAI.
Photogrammetry, NeRF, Gaussian Splatting, point cloud processing, mesh generation and twin creation.
OCR pipelines, NLP models, knowledge extraction, document understanding and retrieval systems.
Platform
AI-native reasoning, orchestration and autonomous execution across specialized workflows.
Preconfigured cloud workspaces for engineering, geospatial, AI/ML, simulation and specialist software.
Domain-specific tools, runtimes, workflows and integrations bundled for research productivity.
Elastic compute from single GPU to multi-node HPC clusters for demanding research workloads.
Deployment
Fully managed research environments on Nebula Cloud with elastic GPU and storage.
Dedicated infrastructure within your cloud account or data centre.
Burst to cloud for peak compute while maintaining sensitive data on-premise.
Full platform deployed within institutional infrastructure for data sovereignty.
Governance
Departments, research groups, projects and individual researchers governed from one platform.
GPU quotas, fair-share scheduling, grant-code tracking and per-project cost attribution.
Role-based permissions, federated identity (SAML/LDAP), and data classification enforcement.
Department-level analytics, capacity planning, utilization reports and audit trails.
Collaborate
Joint applied research with universities, research institutions and industry partners.
Evaluate emerging algorithms, models and computational approaches against real-world workloads.
Work on difficult domain problems involving AI, engineering, spatial computing and specialized workflows.
Research infrastructure, Workbenches and Studio environments for faculty, researchers and students.
Collaborate around datasets, benchmarks, reproducible experiments and open-source tools.
From spatial intelligence to autonomous systems — explore what Nebula Cloud Labs is building, or run your own research on our infrastructure.