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Top 2 Financial Predictive Analytics Software Companies With $10M–$100M Revenue (September 2026)

As of September 2026, Latka tracks 2 financial predictive analytics software companies with $10M–$100M in annual revenue. They have combined revenues of $32.3M and employ 131 people. They have raised $34.5M and serve 150.1K customers combined.

Every company below sells financial predictive analytics 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 Financial Predictive Analytics Software Companies do

Financial Predictive Analytics Software is a category of data analysis tools designed to forecast financial outcomes based on historical data and statistical models. These tools enable organizations to analyze trends, identify patterns, and make data-driven decisions for various financial activities such as budgeting, cash flow management, and investment strategies. Key features often found in these software solutions include data visualization, machine learning algorithms, risk assessment models, and scenario planning functionalities. Common users of financial predictive analytics software include finance professionals, investment analysts, corporate strategists, and risk management teams, who rely on these insights to navigate uncertainties in the financial landscape.

Companies
2
Revenue
$32.3M
Funding
$34.5M
Employees
131

Filters

Sorting: Highest -> Lowest

Filters

Top Financial Predictive Analytics Software Companies With $10M–$100M Revenue

Showing 2 of 2 companies ranked by annual revenue.

1Kayrros logo
Kayrros

Paris, Ile-de-france, France

Provider of predictive analytics created to increase efficiency for energy markets. The company's predictive analytics is integrating unstructured data such as satellite imagery and social news with large scale financial and technical data and then combines data science, machine learning and advanced mathematical models with deep industry knowledge enabling energy market players to take faster and better informed decisions.

Revenue
$20.2M
Customers
80
Year founded
2016
Funding
$34.5M
Team size
121
2Emerge logo
Emerge

Johannesburg, South Africa

Provider of a SaaS based data analytics platform intended to provide predictive insights about banking, retail and insurance businesses. The company's platform solves complex business problem through machine learning and artificial intelligence, enabling their clients to navigate through the corporate data maze and become more profitable.

Revenue
$12.1M
Customers
150K
Year founded
2012
Funding
$18.2K
Team size
10

Frequently asked questions about Financial Predictive Analytics Software Companies With $10M–$100M Revenue

How many financial predictive analytics software companies with $10M–$100M in annual revenue are there?

Latka tracks 2 financial predictive analytics software companies with $10M–$100M in annual revenue. Together they generate $32.3M in annual revenue and employ 131 people.

Which financial predictive analytics software company with $10M–$100M in annual revenue is the largest?

Kayrros is the largest, with $20.2M in annual revenue, founded in 2016.

How much revenue does a typical financial predictive analytics software company with $10M–$100M in annual revenue make?

The average financial predictive analytics software company in this list makes $16.2M a year, across 2 companies with reported revenue. They serve 150.1K customers combined.

Who are the leading Financial Predictive Analytics software vendors with $10M–$100M in annual revenue?

Ranked by annual revenue, the leaders are Kayrros and Emerge.

How much funding have financial predictive analytics software companies with $10M–$100M in annual revenue raised?

The 2 financial predictive analytics software companies with $10M–$100M in annual revenue tracked here have raised $34.5M in disclosed funding between them.

Related Vertical Industry Software categories

Inclusion Criteria

- Provides predictive modeling capabilities to forecast financial trends - Supports risk assessment and management processes - Enables cash flow forecasting and budgeting improvements - Incorporates machine learning or statistical analysis tools - Facilitates scenario planning for financial decision-making - Not limited to historical reporting; must include predictive capabilities