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Top 38 Time Series Intelligence Software Companies Under $1M Revenue (September 2026)

As of September 2026, Latka tracks 38 time series intelligence software companies under $1M in annual revenue. They have combined revenues of $17.6M and employ 427 people. They have raised $16.7M and serve 1K 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.

What Time Series Intelligence Software Companies do

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.

Companies
38
Revenue
$17.6M
Funding
$16.7M
Employees
427

Filters

Sorting: Highest -> Lowest

Filters

Top Time Series Intelligence Software Companies Under $1M Revenue

Showing 10 of 38 companies ranked by annual revenue.

1EidoSearch logo
EidoSearch

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.

Revenue
$991.3K
Year founded
2010
Team size
8
2Soshianest logo
Soshianest

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/

Revenue
$990K
Year founded
2020
Team size
9
3AI METHODS logo
AI METHODS

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.​

Revenue
$990K
Year founded
2022
Team size
9
4Refinery Calc logo
Refinery Calc

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

Revenue
$880K
Year founded
2020
Team size
8
5Latence Technologies Inc. (Latencetech) logo
Latence Technologies Inc. (Latencetech)

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!

Revenue
$880K
Year founded
2020
Team size
8
6Blue Medora logo
Blue Medora

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.

Revenue
$770K
Year founded
2007
Team size
7
7Gridhound logo
Gridhound

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.

Revenue
$688.4K
Year founded
2015
Team size
5
8Fresh4cast logo
Fresh4cast

London, England, United Kingdom

SaaS forecasting tools for fresh produce

Revenue
$686K
Year founded
2013
Funding
$1.1M
Team size
4
9Grovf logo
Grovf

Berkeley, California, United States

Developer of hardware and software products designed to assist industrial Internet of Things and Big Data problems. The company offers an accelerated time series database for IoT data storage where smart sensors data pass directly from Ethernet adapter bypassing any type of operating systems and software layers, enabling industrial customers to solve IoT generated Big Data storage problems.

Revenue
$683.8K
Year founded
2017
Team size
31
10Purrmetrix logo
Purrmetrix

Cambridge, England, United Kingdom

Developer of a heat mapping system designed to monitor the performance of heating and cooling systems with an unprecedented level of accuracy and detail. The company's system provides high resolution insight into the performance of buildings, projects and infrastructure, measures, logs and analyses environmental variables such as temperature, humidity, carbon dioxide, occupancy and offers notification, enabling clients to measure, log and store the environmental data to improve service delivery, use space more efficiently and protect wellbeing.

Revenue
$680.2K
Year founded
2015
Team size
6

Frequently asked questions about Time Series Intelligence Software Companies Under $1M Revenue

How many time series intelligence software companies under $1M in annual revenue are there?

Latka tracks 38 time series intelligence software companies under $1M in annual revenue. Together they generate $17.6M in annual revenue and employ 427 people.

Which time series intelligence software company under $1M in annual revenue is the largest?

EidoSearch is the largest, with $991.3K in annual revenue, founded in 2010.

How much revenue does a typical time series intelligence software company under $1M in annual revenue make?

The average time series intelligence software company in this list makes $463.2K a year, across 38 companies with reported revenue. They serve 1K customers combined.

Who are the leading Time Series Intelligence software vendors under $1M in annual revenue?

Ranked by annual revenue, the leaders are EidoSearch, Soshianest, AI METHODS, Refinery Calc and Latence Technologies Inc. (Latencetech).

How much funding have time series intelligence software companies under $1M in annual revenue raised?

The 38 time series intelligence software companies under $1M in annual revenue tracked here have raised $16.7M in disclosed funding between them.

Related Analytics Tools & Software categories

Inclusion Criteria

- 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