top of page

Our Revenue and Growth Strategy 

SaaS Subscription Model with Fair Pricing Across All Customer Levels

 

At EmergIQ, our SaaS subscription model is designed to create a level playing field for both small and large customers. Whether you're an independent analyst or part of a large financial institution, our pricing is fair, transparent, and scalable based on the services you need.

 

 Per-User Pricing and Data Licensing:

Our pricing is **per user**, ensuring that every individual has full access to the insights and tools they need. Each subscription acts as a **data license** locked to a specific terminal, preventing password sharing and ensuring that our high-quality data and analysis tools are used as intended. This protects the value of our data while providing users with a dedicated, secure experience.

 

Tiered Pricing Structure by Asset Class:

Our model is designed around  asset class-specific pricing, allowing you to tailor your subscription based on the markets and financial products you focus on. This structure ensures flexibility, so customers can access relevant data without overpaying for irrelevant asset classes.

 

Initial Focus on EM Corporates:

We are initially rolling out Emerging Market Corporates bonds as our first asset class to showcase the full capability of our AI-driven platform. Emerging markets present unique investment opportunities, and our proprietary AI models deliver deep insights into these often underserved markets. By focusing on EM corporates first, we demonstrate the precision, depth, and predictive power of EmergIQ in uncovering valuable opportunities in this space.

 

We are committed to  expanding our coverage into additional sub-asset classes, with equities, fixed income, and commodities—set to be delivered in short order.

 

1. Basic Plan:

   - Target Audience: Independent analysts and small investment teams.

   - Features: Access to AI-driven financial insights and predictive analysis for a single asset class, such as EM Corporates. The Basic Plan provides the essential tools needed to gain deep insights without overwhelming costs.

   - Pricing: Fair, affordable pricing per user, allowing smaller firms and individuals to benefit from the same level of advanced insights as larger customers.

 

2. Pro Plan:

   - Target Audience: Mid-sized investment firms and research teams.

   - Features: Comprehensive access to multiple asset classes with advanced AI predictive models and detailed financial analysis. This plan includes more expansive datasets, giving teams the ability to track and analyze a broader range of markets.

   - Pricing: Scaled per user and asset class, making it easy to customize the plan to your firm’s specific needs.

 

3. Enterprise Plan:

   - Target Audience: Large institutional investors and asset management firms.

   - Features: Full access to all asset classes with the ability to customize AI models for specific sectors or markets. This plan includes real-time data feeds, API access for seamless integration with internal systems, and in-depth predictive insights tailored to organizational goals.

   - Pricing: Premium per-user pricing, with volume-based discounts for larger teams. Each user gets dedicated terminal access for secure data usage.

 

 Building Out for Future Asset Classes:

Our pricing structure is designed to evolve. As EmergIQ expands its coverage into additional asset classes, customers will have the ability to add new asset classes to their subscriptions as needed. We are committed to rolling out more asset classes such as  equities, fixed income, commodities, and currencies in the near future. This modular approach ensures that you only pay for the data and insights you use, while having the flexibility to scale as your needs grow.

​

By maintaining per-user pricing and emphasizing fairness and security, EmergIQ ensures that both small and large customers have equal access to our industry-leading financial insights, unlocking the potential for smart, data-driven decision-making across all markets.

bottom of page