AI/ML Models
OpenAI, SageMaker NLP, LLM Fine-Tuning, Predictive Modeling
Case Study
Client: Jeeva. Ai
From POC to Launch – Involve.AI & Avenir Digital’s Jeeva. Ai Platform
Overview
Involve.AI is an innovative AI-driven customer intelligence platform that helps businesses predict customer churn and identify expansion opportunities. Their vision was to build Jeeva.AI, a 360-degree solution that gathers data from multiple sources (CRM, emails, calls, support channels) and generates personalized outreach using AI-powered insights.
However, Involve.AI faced critical challenges in stabilizing their platform, including:
- Unstructured Data Processing – Extracting insights from emails, call transcripts, and other unstructured data.
- Real-Time Analysis – Implementing low-latency AI predictions for timely decision-making.
- AI Model Accuracy – Ensuring high precision in churn prediction and expansion signals.
Solution: Avenir Digital’s Expertise
Key Contributions by Avenir Digital
Avenir Digital partnered with Involve.AI to develop and scale Jeeva.AI from Proof of Concept (POC) to a fully functional, market-ready product.
Advanced NLP & AI/ML for Unstructured Data Processing
• Leveraged OpenAI’s LLMs + SageMaker to analyze unstructured text (emails, call logs, support tickets).
• Built custom NLP pipelines to extract sentiment, intent, and key insights.
• Used Pinecone (Vector DB) for semantic search and similarity matching.
Real-Time AI Predictions with Scalable Architecture
• Developed a Python (FastAPI) backend for high-performance API responses.
• Implemented event-driven processing for real-time data ingestion (CRM, product usage, emails).
• Optimized AI inference with SageMaker endpoints for low-latency predictions.
Ensuring AI Model Accuracy & Data Quality
• Applied rigorous A/B testing to validate model performance.
• Implemented data quality checks to ensure clean, consistent inputs.
• Continuously fine-tuned models based on user feedback.
Secure & Compliant Infrastructure on AWS
• Hosted on AWS with VPC, IAM, and encryption for data security.
• Used MongoDB for structured data storage and Pinecone for vector embeddings.
• Ensured GDPR & SOC 2 compliance for enterprise readiness.
Tech Stack & Key Skills Applied
Component Technology Used Key Skills Demonstrated
Backend
Python (FastAPI) Microservices, API Optimization, Real-Time Processing
Frontend
React.js Scalable UI, Interactive Dashboards
Database
MongoDB (Primary), Pinecone (Vector DB) NoSQL Optimization, Vector Embeddings
Cloud & DevOps
AWS (EC2, Lambda, S3) CI/CD, Secure Cloud Architecture, Cost Optimization
AI/ML Models
OpenAI, SageMaker NLP, LLM Fine-Tuning, Predictive Modeling
Backend
Python (FastAPI) Microservices, API Optimization, Real-Time Processing
Frontend
React.js Scalable UI, Interactive Dashboards
Database
MongoDB (Primary), Pinecone (Vector DB) NoSQL Optimization, Vector Embeddings
Cloud & DevOps
AWS (EC2, Lambda, S3) CI/CD, Secure Cloud Architecture, Cost Optimization
Results & Impact
Stable, Scalable Platform
Jeeva.AI successfully processed millions of unstructured data points with high accuracy.
Real-Time Insights
Reduced prediction latency from minutes to seconds, improving responsiveness.
Enterprise Adoption
Deployed for multiple clients with secure, compliant AI.
Increased Retention & Expansion Signals
AI-driven insights helped clients reduce churn by 20%+.
Stable, Scalable Platform
Jeeva.AI successfully processed millions of unstructured data points with high accuracy.
Real-Time Insights
Reduced prediction latency from minutes to seconds, improving responsiveness.
Enterprise Adoption
Deployed for multiple clients with secure, compliant AI.
Increased Retention & Expansion Signals
AI-driven insights helped clients reduce churn by 20%+.
Cost Savings & Efficiency Gains:
By partnering with Avenir Digital, Involve.AI achieved:
- 40% reduction in development costs compared to building an in-house AI team
- 30% faster time-to-market due to Avenir’s expertise in AI/ML and cloud deployment.
- 50% lower cloud costs via optimized AWS architecture (auto-scaling, serverless components).
- Eliminated hiring delays—Avenir provided pre-trained AI engineers, data scientists, and DevOps experts on demand.
Conclusion
Avenir Digital’s expertise in AI/ML, real-time data processing, and secure cloud architecture enabled Involve.AI to transition from an unstable POC to a market-ready AI platform. By leveraging cutting-edge NLP, scalable AWS infrastructure, and rigorous validation, Jeeva.AI now delivers personalized, predictive customer intelligence at scale—while saving significant costs and accelerating deployment.
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