THE FUTURE OF AI

AI is set to generate $13T in business value by 2025, transforming industries.

THE_FUTURE_OF_AI

GenAI CAPABILITIES

  • AI/ML_IN_E-COMMERCE

    E-commerce:

    Automated Product Descriptions: Leverage AI to generate optimized, detailed, and engaging descriptions for extensive product catalogs, enhancing SEO and user experience

    Visual Search: Helps users find products by analyzing images or video inputs.

  • AI/ML_IN_Healthcare

    Healthcare:

    AI-Driven Medical Documentation: Streamline patient record management and medical note transcription, improving accuracy and operational efficiency.

    Patient Support: Chatbots provide real-time answers to health-related queries.

  • AI/ML_IN_Marketing_and_Advertising

    Marketing and Advertising:

    AI-Powered Content Creation: Utilize Generative AI to craft compelling ad copy, social media content, and personalized email campaigns, maintaining brand consistency and fostering creativity.

    Customer Insights: Analyzes trends and preferences, enabling targeted campaigns.

  • AI/ML_IN_Technology

    Technology:

    Intelligent Code Assistance: Employ AI to assist developers in writing and debugging code, accelerating development cycles and enhancing code quality.

    Knowledge Management: Builds advanced search and recommendation systems for technical documentation.

  • AI/ML_In_Cryptography

    Cryptography:

    AI-Enhanced Encryption: Utilize Generative AI to develop advanced encryption algorithms, bolstering data security and safeguarding sensitive information.

    Decryption Analysis: Assists in analyzing and strengthening cryptographic systems by identifying potential vulnerabilities.

  • AI/ML_In_Gaming

    Gaming:

    AI-Driven Dynamic Content: Enhance gaming experiences by analyzing player behavior to generate unique worlds, levels, and challenges in real-time, increasing replayability.

    Realistic NPCs: AI-driven NPCs adapt and behave lifelike, enriching storytelling and deepening immersion.

OUR SPECIFIC GEN AI USE CASES

GenAI UseCases
GenAI_Use_Cases

GenAI FULL STACK EXPERTISE 

Hugging-Face

LLM

Mistral-AI

LLM

Llama

LLM

Lang-Chain

FRAMEWORK

Llama-Index

FRAMEWORK

Milvus

VECTOR DATABASE

AWS-NOVA

LLM

Open-AI

LLM

Open-AI

EMBEDDING MODEL

AWS-Bedrock

PLAY GROUND

Qdrant

VECTOR DATABASE

Open-AI

PLAY GROUND

OUR CASE STUDIES

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Code Embedding and Retrieval for Ticket-Driven Code Generation

Revolutionizing software development workflows.

Challenge

Bringing efficiency in time and accuracy in navigating large codebases to reduce time spent searching for relevant snippets and ensuring seamless integration of new code.

Solution

Extract, embed, and index code snippets using advanced models. Retrieve contextually relevant code based on ticket descriptions and provide structured inputs for LLMs to generate or enhance code effectively.

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Natural Language to SQL Transformation(AI Agent)

Bridging the gap between users and databases.

Challenge

Enabling non-technical users to query databases in natural language, reducing the dependency on technical expertise and ensuring accurate SQL query generation in a time-efficient manner.

Solution

Set up a structured pipeline to parse database schemas and dynamically generate SQL queries based on user inputs. The solution involves generating prompts tailored to user queries, resolving errors in SQL execution, and providing seamless integration for query retry mechanisms and memory-based context refinement.

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AI-Powered Interview Profiling: Uncovering Insights Beyond the Words

Empowering Recruitment with AI-Driven Video Analysis

Challenge

Analyzing self-introduction videos of interviewees to extract valuable insights such as grooming, speaking style, clarity, confidence, and role suitability, without requiring human intervention for each evaluation.

Solution

An automated system was developed to analyze interview videos, extracting key insights such as grooming, communication style, clarity, confidence, and emotional cues.

AI-Powered-Interview-Profiling-Uncovering-Insights-Beyond-the-Words

Deep Learning-Based Document Review Platform

Technology disrupting traditional BPO, underwriting and legal back office operations.

Challenge

Bringing efficiency in time and accuracy in mundane document review & analysis processes.

Solution

An automated system was developed to analyze interview videos, extracting key insights such as grooming, communication style, clarity, confidence, and emotional cues. The system processes visual and audio data to generate a detailed profile of the interviewee, providing fast and accurate evaluations based on a range of behavioral and presentation metrics.

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