DataForge Analytics
AI & Data Analytics Platform
How an AI-powered analytics company reduced OpenAI costs by 75% and optimized multi-cloud infrastructure to save $840K annually while improving model performance.
Key Results
About DataForge Analytics
DataForge Analytics provides AI-powered business intelligence and predictive analytics to enterprise customers. Their platform processes billions of data points daily using advanced ML models and LLMs for insights generation.
Platform Metrics
The Challenge
DataForge's AI-first approach led to explosive growth but also spiraling costs. OpenAI API expenses were consuming nearly half their revenue, while multi-cloud infrastructure lacked cost visibility and optimization.
Pain Points
- OpenAI API costs consuming 40% of revenue
- Inefficient model usage across applications
- Multi-cloud setup with no cost visibility
- Data processing workloads over-provisioned
- No governance around AI model selection
Cost Breakdown (Before)
The Solution
DeepCost implemented a comprehensive AI and multi-cloud cost optimization strategy, focusing on intelligent model routing and infrastructure rightsizing.
Implementation Steps
- Implemented DeepCost AI cost tracking
- Optimized model selection with intelligent routing
- Unified multi-cloud cost monitoring
- Automated data pipeline rightsizing
- Set up AI budget alerts and governance
Intelligent model routing between GPT-4, GPT-3.5, and Claude based on task complexity
Automated rightsizing of EMR clusters and BigQuery slots
Unified cost monitoring across AWS, GCP, and AI providers
Implementation Timeline
AI Usage Discovery
Week 1-2Analyzed OpenAI usage patterns, model performance, and cost drivers across all applications
Multi-Cloud Integration
Week 3-4Connected AWS and GCP accounts, implemented unified cost monitoring and data pipeline analysis
Optimization & Governance
Week 5-8Deployed intelligent model routing, rightsized data workloads, and established AI cost governance
Detailed Results
OpenAI Costs
AWS Data Processing
GCP ML Workloads
Model Performance
AI Model Optimization Strategy
Simple Tasks
Data categorization, basic sentiment analysis
Medium Tasks
Report generation, complex analysis
Complex Tasks
Strategic insights, research synthesis
"DeepCost didn't just reduce our AI costs – they revolutionized our approach to model selection. We now deliver better results to customers while spending 75% less. It's been transformational for our business economics."