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sentienz

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Sentienz Solutions Private Limited - Company Research Report



Company Overview


  • Name: Sentienz Solutions Private Limited

  • Mission: Sentienz aims to empower businesses with cutting-edge, next-generation IT engineering solutions, driving innovation, inspiring others, and upholding integrity.

  • Founded: No information is available.

  • Founder(s): No information is available.

  • Key People: No information is available.

  • Headquarters: 3rd Floor, PR Business Center, Service Rd, Kadubisanahalli, Marathahalli Outer Ring Road, Bangalore – 560087, India.

  • Number of Employees: No information is available.

  • Revenue: No information is available.

  • What the Company is Known For: Sentienz is recognized for its expertise in various domains including AI, Data Analytics, Distributed Computing, Product Development, Platform Development, and IoT solutions.


Products


  • AiFA - Generative AI:

  • Description: AiFA provides asset accelerators for rapid solution building with Generative AI, independent from the GenerativeAI layer for flexibility.

  • Key Features:

  • Machine Comprehension

  • Domain Specialized Bots

  • Entity Extraction

  • Preprocessor

  • Fact Extractor and Enricher

  • Segmentation and Syntactic Analysis


  • Data Intelligence:

  • Description: Empowers businesses to leverage data-driven success, transforming raw data into actionable insights.

  • Key Features:

  • Data Collection & Integration

  • Data Warehousing

  • Data Analysis & Visualization

  • Machine Learning & Predictive Analytics

  • Data Governance & Security

  • Business Intelligence Consulting

  • Real-time Data Processing


  • Product and Platform Development:

  • Description: Focuses on internet-scale prowess, crafting and scaling complex distributed applications.

  • Key Features:

  • Horizontal Scaling

  • Caching Strategies

  • Load Balancing Strategies

  • Database Optimization

  • Anomaly Detection and Response


  • Contextual NLP Search:

  • Description: Provides advanced NLP-based contextual search for precise and contextually-aware search results.

  • Key Features:

  • Entity Recognition

  • Numeric, Logical and Negation Detection

  • Business-Critical Insights

  • Customizable Solutions

  • Data Security


  • MLOps:

  • Description: Facilitating the transition of Machine Learning models into real-world application with reliable performance.

  • Key Features:

  • Data Preparation

  • Model Development and Deployment

  • Real-time Model Monitoring

  • Model Governance and Scaling


  • AIOps:

  • Description: Revolutionizes IT operations management through AI and ML technologies for improved IT infrastructure management.

  • Key Features:

  • Real-time Monitoring

  • Predictive Analytics

  • Automation

  • Intelligent Insights


  • Managed DevOps & DataOps:

  • Description: Enhances development and operations teams' collaboration and efficiency.

  • Key Features:

  • CI/CD Implementation

  • Infrastructure Automation

  • Containerization & Orchestration

  • Data Pipeline Automation

  • Data Quality & Governance


  • Monitoring and Observability:

  • Description: Provides real-time insights and a deeper understanding of system health and behavior.

  • Key Features:

  • Real-time Performance Monitoring

  • Alerting & Notifications

  • Application Performance Monitoring (APM)

  • Distributed Tracing


Recent Developments


  • Awards & Recognition:

  • Sentienz was selected as the Government of Karnataka KITS' empanelment vendor in the "Smart City" sector.

  • Winner of ELEVATE 2023 Call 2, supporting innovative startups in Karnataka.

  • Winner in the Startup Trailblazer category at the LEAP India Startup Summit 2024 for the product Akiro.


  • New Products Launched: No information is available.

  • New Features Added to Existing Products: No information is available.

  • New Partnerships: No information is available.


Please note, certain information like revenue, key personnel, founding details, and recent product launches were not available based on the provided data.
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