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Gen AI stack with advanced LLM and RAG integration

Our Gen AI technology stack is built for cost-efficiency, reducing expenses by 50% through the strategic use of advanced Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). This optimized implementation allows organizations to harness powerful AI capabilities without excessive overhead, balancing high performance with sustainable budget management.

Optimized Content Retrieval

Rapid access to relevant, organization-specific data with cost-effective Retrieval-Augmented Generation.

Secure Data Privacy Compliance

Ensure secure handling of domain-specific data to meet privacy regulations.

Custom Model Tuning

Industry-specific model tuning that leverages domain data while staying within budget.

Scalable LLM Deployment

Tailored, scalable language models for cost-efficient operations with domain-focused insights.

Automated Knowledge Extraction

Extract and retain critical organizational knowledge with minimal manual effort.

Hybrid Cloud Integration

Deploy in a hybrid or multi-cloud environment while optimizing costs for organization-specific applications.

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Vihan Gundlapalli

Co-Founder & COO

vihan@oktane.ai

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Chandra Gundlapalli

CTO/CAIO Advisor

chandra.g@oktane.ai

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WWW.OKTANE.AI

5 Cowboys Way, Frisco, TX 75034
O: (469) 799-2690
https://www.linkedin.com/in/chandra-gundlapalli/

 

NVIDIA AI and DeepLearning.AI Certified

Wharton CTO | Top 100 Diverse Leaders

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