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Arundo Analytics

Arundo Analytics provides cloud-based and edge-enabled software that utilizes machine learning and advanced analytics to optimize the performance of capital-intensive industrial equipment. Their solutions enable organizations to enhance asset uptime, reduce lifecycle costs, and improve energy efficiency by leveraging existing production infrastructure.

Palo Alto, United StatesFounded 2015337K+ followers
Updated 4 months ago

Funding

$50.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Capital-intensive industries face challenges in optimizing the performance and uptime of their equipment, leading to increased lifecycle costs and reduced energy efficiency. Traditional methods often fail to leverage the vast amounts of data generated by industrial equipment to predict failures and optimize operations.

Solution

Arundo Analytics provides industrial AI software that analyzes data from existing production infrastructure to improve asset performance and sustainability. Their cloud-based and edge-enabled solutions enable organizations to identify critical data patterns, predict equipment failures, and optimize operational processes. By integrating machine learning and advanced analytics, Arundo helps companies enhance asset uptime, reduce lifecycle costs, improve energy efficiency, and manage Scope-3 emissions. The software is designed for easy integration into existing environments, acting as an intelligence layer on top of current technology investments.

Target Audience

Arundo's primary customers are companies in capital-intensive industries such as energy (oil & gas, renewables), processing (chemicals, metals & minerals), maritime (LNG/LPG), and manufacturing (OEM, service providers).

Features

  • Marathon suite for continuous equipment monitoring and prescriptive action recommendations
  • Edge platform for connecting, analyzing, and acting upon remote field data
  • CarbonPath for managing Scope-3 emissions across the shipping value chain
  • Energy Optimizer, an AI-powered application for reducing energy costs in electrolytic processes
  • SPYRO® for Asset Management (SAM) for optimizing ethylene and propylene plant infrastructure
  • Secure applications and data supported by ISO 27001 certified ISMS
  • "Digital Twin" representations of assets and data relationships
  • Data Science / Artificial Intelligence (AI) discovery and production grade MLOps at scale
This profile is AI-generated and may contain inaccuracies.