Ayasdi Pricing

Based on our most recent analysis, Ayasdi pricing starts in the range of $100 - $500.

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Starting From: Still gathering data
Pricing Model: Monthly
Free Trial: No

Ayasdi Benefits and Insights

Why use Ayasdi?

Key differentiators & advantages of Ayasdi

Maximize ROI: Grow ROI over time through iterative data discovery and business intelligence. Reduce hidden risks in the organization in less time through its automated ML- and AI-based approach. Forge strong customer relationships with clear answers about the company’s risk profile, agilely adapting to new financial crimes, asset classes and regulatory changes through machine learning.
Asset and Liability Management (ALM): Discover margin and profit and optimize the use of capital through risk, profit and liquidity predictions. Drive transparency and efficiency in risk management decisions by ensuring adherence to data governance regulations, and optimize operational workflows.
Monitor Customer Behavior: Track customer behavior, monitor changes over time and spot emerging patterns that could become issues. Position products and services better by surfacing churn trends, market changes, risks and opportunities.
Financial Data Security: Boost performance and profitability by integrating into business infrastructure seamlessly. Secure data by identifying patterns and previously unknown associations between financial transactions and workflows.
- Detect Money Laundering: Discover financial risks on a global scale and drill down into specific behaviors through SensaAML, its AI-backed anti-money laundering module. Control service costs, identify false positives and discover new anomalies with next-generation data monitoring.
- Fraud Prevention: Provides fraud analytics teams with comprehensive AI insights that enable seamless data-driven operations. Prevent fraud by getting a comprehensive strategy overview across multiple decision systems and optimize third-party data usage.
Healthcare Support: Improves patient outcomes by identifying more efficient care strategies through sequential data analysis. Reduces variation in care paths for the same procedures across multiple healthcare facilities by analyzing historical patient data, billing records and insurance claims.
Build Applications: Quickly build enterprise-scale intelligence applications, or leverage existing investments by integrating with analytics and BI tools through built-in APIs.

Industry Expertise

The vendor provides machine intelligence and analytics to clients in diverse industries across the world; these include healthcare, life sciences, financial services, customer services, oil and gas and security.

Ayasdi Reviews

Average customer reviews & user sentiment summary for Ayasdi:

8 reviews

81%

of users would recommend this product

Key Features

ML-Based Algorithms: Derive meaning from data through automated analytics by combining TDA and machine learning. Rapidly uncover critical data patterns and associations by combining a multitude of machine learning, statistical and geometrical algorithms.
Data-Driven Segmentation: Create logical groups and subgroups of information — flares, clusters and loops — in the network. Easily access underlying data for these points of interest from the same interface.
AI-Based Insights: Get predictive insights on individuals’ credit risk in advance through integration with SymphonyAI. Spot opportunities to free up cash from company balances while maintaining the minimum liquid capital reserve and risk appetite via a profitability discovery module.
- Machine Learning: Combines machine learning methods and statistical calculations for predictive analytics. Make data science teams feel at home by integrating with existing tools through a Python SDK.
- Automated Alerts: Reduces false positives and generates accurate, contextual alerts about suspicious customer behavior patterns to quickly detect financial fraud.
Topological Data Analysis (TDA): Discover and predict data trends through multi-dimensional data modeling. Reduce the chance of missing critical insights through self-service analysis, eliminating the need for machine learning experts.
- Unsupervised Learning: Runs clustering algorithms on small portions of data separately, reducing the noise of incomplete and unstructured data.
- Supervised Learning: Optimizes separate machine learning models for local data sets, creating a collection of models for more accurate insights. Discovers errors in underlying data.

Limitations

At the time of this review, these are the limitations according to user feedback:

Only accepts tabular formatted data as input.
Data aggregation doesn’t happen internally; only organized data can be imported.

Suite Support

Go through the case studies, datasheets, publications, blogs, videos webinars and whitepapers on the knowledge center on the vendor’s website.

Email: Not specified.

Phone: Not specified.

Training: Not specified.

Tickets: Submit a support request through the “Contact Us” page.

Ayasdi Reviews & Pricing

What is Ayasdi?

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