Narwal

Overview

Based in Cincinnati, Ohio, this technology company specializes in Artificial Intelligence (AI), Data, and Quality Engineering. It is dedicated to helping enterprises thrive through the delivery of intelligent and scalable technology solutions built for the digital era, keeping innovation and a client-centered approach at the core of its operations.

The company’s range of services include developing AI applications for smarter business outcomes, providing data analytics and insight-driven solutions, and ensuring robust testing and assurance via quality engineering. Serving leading global enterprises and acclaimed as one of the Inc. 5000 fastest-growing companies, it maintains a strong focus on customer obsession, excellence, and ethical practices while striving for sustainable growth and global expansion.

Basic Information

Contact Details

• Phone: +1 513-342-2626
• Website: narwal.ai
• LinkedIn: linkedin.com/company/narwal-ai
• Facebook: facebook.com/narwalinc/
• Twitter: twitter.com/narwalinc

Key Focus Areas & Initiatives

• Automation
• Artificial intelligence
• Data science & ML
• Cloud cost optimization
• Cyber security
• Quality engineering
• DevOps
• DataOps
• MLOps
• Test automation
• Process automation
• Machine learning
• Cloud FinOps
• Data monetization
• Generative AI
• RPA
• Quality assurance
• Testing
• Gen AI testing
• Data governance
• AI solutions
• Software automation
• AI strategy
• AI advisory
• AI performance
• AI model validation
• AI explainability
• AI model drift detection
• AI knowledge graphs
• Data warehouses
• AI integration
• AI multi-agent collaboration
• Computer systems design and related services
• Data modernization
• Digital transformation
• Human-in-the-loop AI
• AI model deployment
• AI compliance tools
• Data pipelines
• AI-powered automation
• Deep learning
• AI ethical frameworks
• AI model retraining pipelines
• AI data pipelines
• AI model performance
• AI compliance standards
• AI innovation
• AI model robustness
• AI bias mitigation
• AI self-learning systems
• Data lakes
• Responsible AI
• AI platforms
• Operational efficiency
• Autonomous agents
• Cloud data services
• Multi-modal AI
• Generative AI models
• AI model lifecycle management
• AI frameworks
• AI data security
• ML operations
• AI bias mitigation techniques
• AI model validation tools
• AI compliance
• Multi-agent systems
• Consulting
• Healthcare
• Automation testing
• Agentic AI
• AI optimization
• AI automation
• AI enterprise platforms
• AI business transformation
• AI explainability dashboards
• Data engineering
• Data analytics tools
• Online retail
• AI multi-modal reasoning
• AI bias detection
• AI data governance
• Financial services
• Cloud migration
• Manufacturing
• B2B
• AI model interpretability
• AI model deployment automation
• AI explainability tools
• AI scalability
• Predictive analytics
• AI model fairness
• Fraud detection
• AI data quality
• AI model explainability
• B2C
• AI deployment
• AI orchestration
• Information technology and services
• Services
• ML lifecycle management
• AI accelerators
• D2C
• AI ecosystem
• AI knowledge graph automation
• AI
• Data science
• AI governance
• AI deployment pipelines
• Data analytics
• AI model retraining
• AI innovation labs
• AI autonomous decision-making
• Responsible use of AI
• AI security
• AI model monitoring
• AI cloud solutions
• AI fairness frameworks
• AI multi-modal data integration
• Retail
• AI model explainability frameworks
• AI digital transformation
• AI governance frameworks
• Finance
• Cloud computing
• Enterprise software
• Enterprises
• Computer software
• Health care
• Health, wellness & fitness
• Hospital & health care
• E-commerce
• Consumer internet
• Consumers
• Internet
• Mechanical or industrial engineering

Technologies Used

• AI
• Bootstrap Framework
• Google Font API
• Microsoft Office 365
• Mobile Friendly
• Outlook
• Remote
• Snowflake
• WordPress.org
• YouTube

Affiliated Organizations & Regional Branches