As of September 2026, Latka tracks 58 time series intelligence software companies with $1M–$5M in annual revenue. They have combined revenues of $140.6M and employ 1.3K people. They have raised $35.7M and serve 41.3K customers combined.
Every company below sells time series intelligence software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
Time Series Intelligence Software facilitates the analysis and interpretation of time-ordered data points, enabling businesses to discern patterns, trends, and anomalies over specific periods. This category of software is integral in various applications, including financial forecasting, stock market analysis, and monitoring sensor data from IoT devices. By processing sequential data, these tools empower users to make informed decisions based on historical trends and predictive insights. Key features of time series intelligence software often include advanced analytics capabilities, visualization tools, anomaly detection, and forecasting models. These functionalities streamline workflows for domains like finance, operations, and IT, where professionals require a reliable understanding of trends over time. Typical users of these tools include data analysts, financial officers, and business intelligence professionals who need to convert complex datasets into actionable insights. Ultimately, time series intelligence software serves as a critical resource for organizations looking to leverage historical data for strategic planning and operational improvements, enabling them to stay ahead in a competitive environment.
Sorting: Highest -> Lowest
Showing 10 of 58 companies ranked by annual revenue.
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.
Boulder, Colorado, United States
Provider of a next-generation weather forecasting technology software created to meet the need of accurate weather forecasts. The company's next-generation weather forecasts are being designed to run on graphic processor unit accelerators using GPU processors to commercial users and government agencies obtained through satellite sensors, drones and radars, offering users to collect global weather data.
Latka tracks 58 time series intelligence software companies with $1M–$5M in annual revenue. Together they generate $140.6M in annual revenue and employ 1.3K people.
Delfos is the largest, with $4.6M in annual revenue, founded in 2016.
The average time series intelligence software company in this list makes $2.4M a year, across 58 companies with reported revenue. They serve 41.3K customers combined.
Ranked by annual revenue, the leaders are Delfos, FieldSense A/S, Jua, observIQ and Dash0.
The 58 time series intelligence software companies with $1M–$5M in annual revenue tracked here have raised $35.7M in disclosed funding between them.
- Must analyze time-ordered data to identify trends and patterns - Should provide forecasting capabilities to predict future outcomes based on historical data - Must include visualization tools to present data analyses clearly - Should enable anomaly detection to highlight significant deviations in datasets - Target users typically include data analysts, financial professionals, and business intelligence teams - Not limited to just basic data processing; must also offer advanced analytical features
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