Cloudnebula Enterprises Pvt. Ltd.

We build the AI, software & cloud our clients run on.

An engineering partner for teams that need real things shipped: machine-learning models, production applications in Python and TypeScript, and AWS infrastructure that stays up. Here’s who we work with and what we do for each.

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Our work

Long-term partnerships, not one-off projects

We embed with each client as their engineering team, owning the work from research and design through deployment and day-to-day operations.

Quantitative finance

STARlab Capital

A systematic derivatives firm trading SPX options since 2020.

Options trading research and strategy development
Development of AI / ML models for markets
Applications & services in Python and TypeScript
AWS infrastructure support and operations

Agritech · WaterOps

Airrigate

Airrigate WaterOps, with Cloud Nebula as its AI, engineering and cloud team.

AI & machine-learning models and services
End-to-end application development, from design to release
AWS infrastructure design, provisioning and management
Monitoring, security and cost management

Healthcare · Biotech

Vivi Biologics

A biotech partner covering everything from drug discovery to the patient, with Cloud Nebula building its AI capability.

Deep-learning models for cancer detection in histopathology
Designed & built the Vivi AI Detect platform
Slide upload, automated analysis and diagnostic reporting
AI services, model training and cloud deployment

At a glance

What we do, and for whom

Every engagement draws on the same core capabilities. Here’s how they map to each client.

Services delivered per client
Capability	STARlab Capital	Airrigate	Vivi Biologics
AI & machine learningModel research, training, deployment
Application developmentWeb apps, APIs, internal tools
AWS cloud & DevOpsInfrastructure, CI/CD, monitoring
Quantitative researchOptions strategies, backtesting		—	—
Medical imaging AIDigital pathology, cancer detection	—	—

Services

One team, from model to infrastructure

Most clients start with one of these and grow into several. You get the same engineers across the whole stack.

AI & machine learning

From research to production: computer vision, time-series and predictive models, built and deployed behind real products.

PyTorch
Computer vision
MLOps

Application development

End-to-end web applications, APIs and services in Python and TypeScript. We design them, build them and keep them running.

Python
TypeScript
React

AWS cloud & DevOps

Infrastructure as code, CI/CD, observability, security and cost control: AWS managed so your team doesn’t have to.

AWS
Terraform
Docker

Quantitative research

Options strategy research, backtesting frameworks and the data pipelines underneath them, built with systematic traders.

Options
Backtesting
Data pipelines

How we work

Simple, transparent, built to last

Understand

We learn your domain, whether that’s trading, water operations or pathology, before writing a line of code.

Design

Architecture, data and model choices agreed up front, with clear milestones and costs.

Build & ship

Short iterations, working software early, and production-grade from day one.

Run & evolve

We stay on to operate, monitor and improve, so we’re a long-term team rather than a hand-off.

Technology

Tools we use every day

Python
TypeScript
React
Node.js
FastAPI
PyTorch
scikit-learn
Pandas
PostgreSQL
AWS
Lambda
EC2
S3
SageMaker
Docker
Terraform
GitHub Actions

Contact

Have something to build?

Tell us what you’re working on. Whether it’s a model, an application or your AWS setup, we’ll get back to you with next steps.

A reply from an engineer, not a sales team
Flexible engagements, from a single project to an ongoing partnership
Experience across finance, agritech and healthcare