Chrimata is an intelligent platform designed to plan, optimize, and analyze the costs of Generative AI (GenAI) workflows. It enables organizations to accelerate AI adoption by automatically generating architectures, recommending the best-fit tools, providing transparent cost breakdowns, and projecting ROI—fully tailored to your specific use case.
Organizations struggle with GenAI adoption due to:
- ⚙️ Overwhelming tool choices and lack of clarity on where to start
- 💸 Unpredictable and opaque costs across setup, operations, and scaling
- 🕒 Manual and time-consuming planning, delaying deployment
- 📉 Difficulty measuring ROI, making it hard to justify investments
Chrimata provides an automated, end-to-end solution:
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⚡ AI-Powered Workflow Generator
Auto-generates optimal GenAI architectures based on your requirements using OpenAI models. -
🧩 Smart Tool Recommendation Engine
A FAISS-based RAG system suggests the most suitable tools for your needs with reasoning. -
💰 Transparent Cost Analysis
Detailed setup, monthly, and yearly cost breakdowns—including optimization recommendations. -
📊 ROI Calculator
Predictive ROI projections and timeline analysis to support confident investment decisions.
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Upload Inputs
Provide your company profile, financials, and GenAI objectives. -
AI-Powered Analysis
Our AI agents analyze your data using domain knowledge and best practices. -
Tool & Cost Recommendations
FAISS RAG engine recommends tools and presents a transparent cost analysis. -
Report Generation
Receive a downloadable report detailing your GenAI architecture, projected costs, ROI, and timeline.
- ⚡ < 90 Seconds: Architecture generation time
- 💵 35%: Average cost savings through optimization
- 🧪 MVP Validated: Beta version tested and in use
- ✅ High Engagement: Early users report actionable insights and strong usability
| Component | Purpose |
|---|---|
| OpenAI GPT Models | Architecture generation and requirement analysis |
| FAISS + RAG | Vector-based tool retrieval and semantic matching |
| Supabase | Backend, user authentication, and real-time updates |
| News API | Real-time market data integration |
| Next.js & React | Responsive, modern web interface |
| Python Analytics | Cost modeling, savings analysis, and ROI projections |
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Kanishk K R – AI Lead
GenAI system design and workflow optimization. -
Darshan K – Full-Stack Developer
Eeb infrastructure and user experience.
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✅ Free GenAI Cost Report
Get your custom architecture and cost breakdown in under 30 seconds. -
📞 1:1 Consultation Available
Book a session with our team to plan your GenAI strategy.
This project is licensed under the MIT License.
⚡ Transform your GenAI planning with AI Cost Optimizer — intelligent, transparent, and fast.