Top 130 Time Series Intelligence Software SaaS Companies in May 2026

Boston, Massachusetts, United States

SaaS that helps renewables & energy storage operate more profitably

Barcelona, Spain

Provider of an intelligent maintenance platform intended to optimize the production of renewable energy assets by real-time wind farm analysis. The company's platform provides owners and operators with failure prediction alerts and actionable insights by monitoring and predictions with the use of machine learning techniques, enabling clients to reduce operational costs and increase energy output.

Aarhus N, Midtjylland , Denmark

FieldSense A/S is a small growing company developing digital solutions for farmers and agriculturally interested persons and companies. Our chief platform, FieldSense, is an application for web and mobile devices that allows farmers and agronomists to monitor crop health and create variable-rate application maps using satellite images. To compliment the FieldSense-platform we have developed our very own weather stations that provide frequent and precise local weather data. With FieldSense and our weather stations, farmers and agronomists become equipped to make well-informed decisions about tackling crop health issues as well as optimizing yield. The satellite images and weather data are stored historically, allowing the user to review and compare past seasons. Whether you're a farmer or an agronomist, we can offer you the following with FieldSense: + Automatic and early detection of crop health issues. + A complete and frequent overview of all your fields using satellite images

Schwyz, Switzerland

Jua.ai - Accuracy beyond expectation. Use beyond belief. The world's first end to end deep learning model for weather forecasting, delivered on an intuitive platform for anyone to customise it. Startups, governments and large companies alike can now develop global, high frequency and high accuracy weather models within days. Jua’s mission is focused on achieving artificial general intelligence (AGI) through a deep exploration of physics, the universe, and their interaction with the human civilisation. We are initially building the world's largest AI weather forecasting model so far and - to our knowledge - the first truly end to end one. This will help energy companies deal with weather volatility by way of significantly better and faster prediction as well as much more flexible extrapolation of insights.

Grand Rapids, Michigan, United States

BindPlane builds cutting edge observability tools for businesses, private users, and open source projects. Our mission is to advance observability technology through promoting and contributing to open source communities. We are a proud partner of the OpenTelemetry project. Docs: https://docs.bindplane.observiq.com/docs/about

New York, New York, United States

Dash0 is modern OpenTelemetry Native Observability, built on CNCF Open Standards such as PromQL, Perses and OTLP with full cost control. It provides an observability platform that delivers applications and infrastructure resource-centric monitoring, custom service metrics, query building, and promQL support.

Aarhus, Denmark

Cordulus is a series A company based in Aarhus, Denmark, that provides accurate and timely insights into weather data to help stakeholders navigate a changing climate.

Palmerston North, Wanganui-Manawatu, New Zealand

Levno converts data into high-quality information and insights using smart sensor technology to provide farmers the edge through increasing productivity. Levno is leading with its milk, fuel, and water monitoring solutions by providing real-time access to data in form of an intuitive dashboard and alerts.

Berwyn, Pennsylvania, United States

Provider of business weather intelligence services intended to help companies to effectively assess and proactively address how the weather impacts their operations. The company offers critical information, analysis, and services relating to climate, enabling retailers, consumer goods suppliers, restaurants, and service companies to shape strategies and drive improved business.

Canas de Senhorim, Portugal

Developer of a platform designed for hotel professionals to do revenue management. The company's platform allows for quick insights into hotel performance that will help to make the course corrections necessary to maximize revenue and minimize losses and also provides smart forecasting, elegant reporting, and powerful pricing recommendations to work together, enabling clients to take hotel performance to the next level.