
Munich, Bayern, Germany
Preisenergie develops dynamic pricing software for the energy sector that helps increase loads on renewable generation.
- Revenue
- $1M
- Customers
- -
- Year founded
- 2016
- Funding
- -
- Team size
- 1
- Growth
- -
As of May 2026, there are 130 SaaS companies in Time Series Intelligence Software. They have combined revenues of $945M and employ 5.5K people. They have raised $1B and serve 47.4K customers combined.
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 41 companies ranked by annual revenue.

Munich, Bayern, Germany
Preisenergie develops dynamic pricing software for the energy sector that helps increase loads on renewable generation.

Mountain View, California, United States
AI-powered time insights to keep your focus on what matters most

Kirkland, Washington, United States
Foundation models to simulate Earth, starting with weather.

Boston, Massachusetts, United States
Provider of a predictive analytics technology intended to provide a time series of data. The company's predictive analytics technology uses probability intelligence tool identifies data series from data set, search for multiple disparate patterns simultaneously, find similar conditions and provide relevant results, enabling businesses to get data-based intelligence to uncover opportunities and better estimation of risks.

North Vancouver, British Columbia, Canada
🔍 At Soshianest, we harness the power of AI to redefine maritime market analysis. Our advanced machine learning algorithms provide precise shipping rate forecasts, enabling the maritime community to steer through market volatility with confidence. ⚓ Offering monthly to annual forecasts for container ships, chemical tankers, and bulk carriers, our services cater to a global clientele that includes shipowners, shipyards, engineering firms, financial institutions, and logistics companies. 🌐 Embrace data-driven foresight with Soshianest - where innovation meets the open sea. Contact us for more information - https://soshianest.ai/contact-us/

Leganés, Community of Madrid, Spain
AI METHODS is a university spin-off born from a research project of the Universidad Carlos III de Madrid. We strive to transform the aviation industry by providing the most precise, real-time weather intelligence, enabling professionals to anticipate, adapt, and optimize flight operations like never before.

Montreal, Quebec, Canada
LatenceTech offers a cloud and AI-based monitoring and analytics solution for low latency connectivity networks such as Private LTE and 5G. We generate active real-time measurements using multiple IP protocols and then perform AI/ML-based advanced analytics to detect anomalies, predict the near future and perform Root Cause analysis with a focus on latency. We also offer a mobile app to perform latency « spot checks » Go to Google or Apple store to try it out!

Middletown, Delaware, United States
Meet REFINERY CALCULATOR – we are your refinery, petrochemical, industrial gas, power, natural gas, hydrogen and energy information supplier. Empowering traders and analysts with global refinery operations intelligence. Track refining margins and shifts at the local, regional, country, or even global level with our platform. Pinpoint trading opportunities with Refinery Calc's proprietary optimization engine. Our technology solutions generate best-in-class yields through full heat and mass balance. Understand economic trends through the lens of the international oil market and stay ahead of the competition with our comprehensive analytics tailored for your needs. Insert your own forward looking assumptions to build powerful time series data sets for yields, margins, energy, and emissions. Understand the immediate impact of key refining process unit shutdowns and turnarounds. Oil Producers: Cutting-edge technology solutions designed for oil and gas producers. Value any grade of crude oil in the world using our Gross Product Worth methodology (GPW) Determine the best candidate refinery for a list of target grades of crude oil Understand the replacement or substitution value of a particular grade of crude against a basket or blend of competing crudes Price various grades of uncommonly traded crude oils Triangulate and position your grade of crude oil for maximum value Connect with Refinery Calc using our API and prebuilt SDK Clients

Grand Rapids, Michigan, United States
We’re the company that set the standard for enterprise-grade integration for IT monitoring. We believe that data is dimensional, not flat, and health and performance metrics must include their relationship to other components in the IT stack to truly provide insights. We deliver this Dimensional Data using the industry’s first IT monitoring integration service (MIaaS), BindPlane. For more information, visit bluemedora.com.

Aachen, Germany
Developer of a distribution management software designed to monitor, analysis, control, automation and planning of distribution grids. The company's active distribution management software utilizes machine learning technique based on artificial neural networks to estimate precisely the state of the power grid using only 10% of processing power compared to a traditional state estimation, enabling distribution network operators to get affordable real-time grid awareness as well as safe and efficient operation to distribution system operators.
- 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
Each Tuesday, we reverse-engineer a real SaaS company's revenue, profit, CAC, funnels, and its top growth tactic.
Sign up to access all features
Sign up with GoogleSign up with LinkedInAlready have an account? Log in
GetLatka is trusted by 200k+ founders, researchers, and marketers.
No contracts, cancel at any time