WorkOnGrid Tech Stack

AI-powered analytics platform for utility operations and grid optimization

Software Development Bengaluru, Karnataka 11–50 employees Founded 2017 Privately Held

WorkOnGrid builds a data warehousing and analytics platform purpose-built for utilities—energy, water, and gas operators. The stack is frontend-heavy (React, Next.js, TypeScript) paired with ML infrastructure (TensorFlow, PyTorch, scikit-learn) and Kubernetes orchestration, suggesting active work on both user-facing dashboards and production model deployment. Current projects confirm this split: demand forecasting models and visualization dashboards run parallel to a formal deployment pipeline, indicating operational maturity beyond prototype stage.

Tech Stack 45 technologies

Core StackJavaScript React TypeScript Next.js Vite Webpack Redux Jest Kubernetes Helm Rancher OpenShift Linux Python Ansible pandas scikit-learn TensorFlow PyTorch Tableau Power BI Hadoop Zustand Material-UI Ant Design React Testing Library Kubespray Bash Keras SQL+14 more

What WorkOnGrid Is Building

◆Challenges

Scalability of infrastructure
Energy demand forecasting
Smart grid optimization
Renewable integration
Identifying documentation gaps
Proposal turnaround time

▲Active Projects

Machine learning models for demand forecasting
Data visualization dashboards for stakeholders
Model deployment pipeline with data engineers
Api documentation and integration guides
Knowledge base articles and help centre content
Documentation standards and style guidelines
Proposal template maintenance
Centralised proposal repository

Hiring Activity

Accelerating6 roles · 4 in 30d

Department

Engineering

Product

Data

Sales

Seniority

Mid

Junior

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About WorkOnGrid

WorkOnGrid develops a SaaS analytics platform for utility operators managing grid operations, demand forecasting, and renewable integration. Founded in 2017 with presence in India and Australia, the company serves utilities across scales—small, medium, and large. The platform combines data collection and cleaning, ML-driven forecasting, and interactive dashboards (Tableau, Power BI) to surface operational intelligence. Infrastructure runs on Kubernetes with Rancher and OpenShift, supporting multi-jurisdiction deployments.

HeadquartersBengaluru, Karnataka

Company Size11–50 employees

Founded2017

Hiring MarketsIndia

Frequently Asked Questions

What tech stack does WorkOnGrid use?

Frontend: React, Next.js, TypeScript, Webpack, Material-UI. ML/data: Python, TensorFlow, PyTorch, scikit-learn, pandas, Tableau, Power BI. Infrastructure: Kubernetes, Helm, Rancher, OpenShift, Ansible.

What is WorkOnGrid working on?

ML models for energy demand forecasting, data visualization dashboards, model deployment pipelines, API documentation, and scaling infrastructure to handle utility grid data at scale.