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Shakudo Use Cases

Bespoke data and AI solutions engineered for mission-critical use cases, empowering diverse industries with unparalleled speed, reliability, and efficiency

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Technology & Software

Accelerate Development with AI-Powered Code Review

Analyze Sales Call Transcripts to Identify Winning Strategies

Financial Services

Assess Investment Thesis Fit and Drift Efficiently

Financial Services

Automate Custom Sustainability Report Population

Financial Services

Calculate and Optimize Customer Lifetime Value Metrics

Chat with Enterprise Knowledge Base Using AI Assistants

Deploy AI-Powered Customer Service Agents for Support

Financial Services

Detect Hidden Red Flags in Company Data

Sports

Detect and Mitigate Toxic Behavior in Online Gaming

Financial Services

Extract Custom Insights from Earnings Calls Rapidly

Financial Services

Extract Key Insights from Financial Documents Using AI

Healthcare & Life Sciences

Generate Real-World Evidence for Healthcare Decisions

Manufacturing

Implement Digital Twins for Enhanced System Modeling

Aerospace

Improve Air Traffic Control with Advanced Pattern Recognition

Manage Customer Retention with Predictive Analytics

Retail

Manage Inventory Accurately with AI-Powered Predictions

Model Media Mix Effectiveness for Marketing Optimization

Financial Services

Monitor Market Sentiment Across Multiple Sources

Retail

Optimize Retail Pricing Strategies for Market Advantage

Automotive & Transportation

Optimize Route Planning with Real-Time Traffic Analytics

Sports

Optimize Ticket Pricing with Dynamic Demand Modeling

Higher Education

Personalize Learning Pathways with Adaptive AI Algorithms

Real Estate

Predict Property Values with AI Market Analysis

Climate & Energy

Schedule Preventive Maintenance for Energy Infrastructure

Score Propensity to Buy with Predictive Analytics Tools

Segment Customers Intelligently for Targeted Marketing

Healthcare & Life Sciences

Streamline Hospital Staffing with AI Demand Forecasting

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"Shakudo gave us the flexibility to use the data stack components that fit our needs and evolve the stack to keep up with the industry."
Neal Gilmore
Senior Vice President, Enterprise Data & Analytics
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