Gridmatic Tech Stack

AI-powered energy optimization and trading platform for grid decarbonization

Software Development Cupertino, California 51–200 employees Founded 2017 Privately Held

Gridmatic builds AI systems to optimize clean energy supply, demand, and transactions across the US power grid. The stack—Python, GCP, AWS, Kafka, Spark, Flink, Airflow, Temporal, dbt—is structured for real-time data processing and ML at scale, reflecting the company's core challenge: ingesting petabyte-scale weather data and training continuous forecasting models to enable spatial price optimization and reliable battery dispatch. Hiring velocity is accelerating across engineering and finance, with leadership gaps in people operations.

Tech Stack 29 technologies

Core StackPython AWS Kubernetes Terraform Go C++ Java Rust Rippling bill.com Slack SentinelOne Apache Airflow Temporal Next.js PostgreSQL BigQuery dbt Apache Spark Kafka Apache Flink Docker GCP Azure macOS Webex Flyte Beam Dataflow

What Gridmatic Is Building

◆Challenges

Energy price volatility
Scaling data infrastructure for ml models
Billing accuracy and automation
Enrollment exception resolution
Incorporating petabyte-scale weather data
Complex pricing and contracting
Increasing spatial granularity of price forecasting
Real-time battery dispatch reliability
Continuous ml model training
Scaling hr function for rapid growth

▲Active Projects

Scaling and reliability of data infrastructure
Designing data models for energy and weather timeseries
Increasing spatial granularity of price forecasting
Billing accuracy and automation
Enrollment automation
Scuc and sced optimization models
Electricity market behavior modeling
Incorporating petabyte-scale weather data
Deep automation of pricing, forecasting, and contracting platform
Automation of pricing from unstructured emails

Hiring Activity

Accelerating15 roles · 7 in 30d

Department

Engineering

Finance

Ops

Sales

Data

Product

Seniority

Senior

Manager

Mid

Intern

Lead

Notable leadership hires: Head of People

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About Gridmatic

Gridmatic is an AI-powered energy company founded in 2017 and based in Cupertino, California. The company helps energy companies and grid operators transition to clean energy by using machine learning to model and optimize energy supply, demand, and market transactions. Their platform integrates forecasting and pricing automation to increase renewable adoption while stabilizing the electricity market. Active development focuses on data infrastructure scaling, timeseries modeling for energy and weather, billing automation, and enrollment workflows. The company operates at 51–200 employees across engineering, finance, operations, sales, data, and product.

HeadquartersCupertino, California

Company Size51–200 employees

Founded2017

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Gridmatic use?

Gridmatic uses Python, GCP, AWS, Azure, Kubernetes, Terraform, Go, C++, Rust, Kafka, Spark, Flink, Airflow, Temporal, dbt, PostgreSQL, BigQuery, and Docker for data processing, orchestration, and infrastructure.

What is Gridmatic working on?

Key projects include scaling data infrastructure for ML models, designing timeseries data models for energy and weather, increasing spatial granularity of price forecasting, automating billing and enrollment, optimizing SCUC/SCED models, and automating pricing from unstructured sources.

How this profile is built

Gridmatic's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.