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Top 13 Financial Predictive Analytics Software SaaS Companies in May 2026

As of May 2026, there are 13 SaaS companies in Financial Predictive Analytics Software. They have combined revenues of $47.3M and employ 245 people. They have raised $51.5M and serve 650.6K customers combined.

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
13
Revenue
$47.3M
Funding
$51.5M
Employees
245

Filters

Sorting: Highest -> Lowest

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Top Financial Predictive Analytics Software Companies

Showing 10 of 3 companies ranked by annual revenue.

1
B33

Miami, Florida, United States

B33: Revolutionizing Accounts Receivable with AI-Powered Automation B33 is a cutting-edge AI-powered accounts receivable automation platform for medium-sized businesses. We streamline payment processes, improve cash flow, and reduce Days Sales Outstanding (DSO). Our mission: empower businesses with intelligent workflows that transform financial operations, enabling efficiency, scalability, and growth. What We Do: • AI-Powered Automation: Reduce manual tasks by up to 80% • Cash Flow Optimization: Improve by 20%+ with smarter strategies • Seamless Integration: Connect with Salesforce, QuickBooks, Xero, NetSuite • Advanced Analytics: Real-time reporting and predictive insights • Customizable Workflows: Tailored for SaaS, property management, accounting, media, and more Why Choose B33? • Proven Results: Significant improvements in billing efficiency and cash flow • Scalable Solutions: Grow without compromising performance • Enhanced Customer Experience: Self-service portal for easy invoice management • Security & Compliance: Bank-grade encryption and industry standard adherence Our Vision: 
We’re leading the transition to agentic AI workflows, revolutionizing business operations. By leveraging advanced AI, we enable companies to unlock new efficiency levels and drive measurable growth. Join Us:
Discover how B33 can transform your financial operations. Let’s redefine the future of accounts receivable automation together. #AI #Automation #AccountsReceivable #FinTech #Innovation

Revenue
$1M
Customers
-
Year founded
2025
Funding
-
Team size
2
Growth
-
2
Chiefsight.ai

Boston, Massachusetts, United States

Chiefsight. ai is a Decision Intelligence company offering a comprehensive suite of Gen AI -powered SaaS applications that empower mid-market companies (200 - 3,000 employees) to quickly, accurately, and confidently make data-driven financial decisions. Chiefsight. ai applications leverage industry-specific benchmarks...

Revenue
$220K
Customers
-
Year founded
2023
Funding
-
Team size
2
Growth
-
3
AlphaGainDaily

Sydney, New South Wales, Australia

AlphaGainDaily provides AI-powered stock analysis tools, in-depth trading platform reviews, and free investment calculators for retail investors and active traders. Covers AI screeners, portfolio rebalancing, ETF tools, and quantitative trading strategies with bilingual content in English and Chinese.

Revenue
$1K
Customers
500
Year founded
2025
Funding
-
Team size
3
Growth
-

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