NStarX | Company Profile
Contact Information
Industry & Market
Company Metrics
Funding Information
Headcount Distribution
By Department
Department Breakdown
Technology Stack
Analytics & Tracking
Video & Media
Email & Communication
Keywords & Focus Areas
NStarX
Overview
NStarX Inc. is a global IT solutions company based in Ballwin, MO, with over 10 years of experience. The company specializes in AI-driven enterprise transformations, SaaS product development, and cloud platforms tailored for startups, small to medium-sized businesses, and large enterprises. With a reported estimated annual revenue of $14.9 million, the organization delivers advanced technology services to a diverse client base.
The team provides solutions such as AI engineering, platform design, DevOps, cloud consulting, and product development. Their approach focuses on creating intelligent products that boost productivity and efficiency through human-centered AI, addressing organizational and ethical challenges to deliver measurable results. NStarX is dedicated to maximizing cloud platform value with ongoing support and maintenance services.
Basic Information
| Industry | information technology & services |
|---|---|
| Founded | 2010 |
| Revenue | $14.9M |
| Headquarters | 13610 Barrett Office Dr, 210, Ballwin, Missouri 63021-7802, United States |
Contact Details
- Phone: +1 314-720-4402
- Website: nstarxinc.com
- LinkedIn: linkedin.com/company/nstarx
Key Focus Areas & Initiatives
- AI engineering
- Data science
- Data engineering
- Product engineering
- Generative AI
- Kubeflow
- AI consulting
- Kubernetes
- Cloud-native platforms
- Security and compliance
- AI solutions for media
- AI experimentation
- Media
- AI automation tools
- AI performance optimization
- AI solutions
- Secure AI
- AI for genomics analysis
- AI integration
- Digital transformation
- Cloud infrastructure
- Federated learning
- Healthcare technology
- AI scalability solutions
- Enterprise AI
- AI governance frameworks
- Enterprise cloud
- AI in regulated industries
- AI in telemedicine
- AI research
- AI model management
- AI for digital identity verification
- AI security and privacy
- AI security tools
- AI security
- Data pipelines
- Predictive analytics
- AI experimentation frameworks
- Healthcare
- Databricks
- AI transformation
- AI performance
- AI model training
- Consulting
- AI for media content personalization
- AI for fraud detection in telecom
- Knowledge graphs
- Open-source AI tools
- AI innovation
- AI model versioning
- Platform design
- AI compliance
- Private equity
- RAG solutions
- Model monitoring
- AI for healthcare
- AI data management
- Azure ML
- Regulatory compliance
- AI for media
- Services
- GCP Vertex AI
- AI model explainability
- Software engineering
- Scalable platforms
- AI for healthcare diagnostics
- AI data pipelines
- AI model optimization
- AI for patient monitoring
- AI model monitoring
- B2B
- AI development frameworks
- DevOps
- AI workflow automation
- AI solutions for healthcare
- Cloud-native solutions
- Digital twins
- AI product development
- AWS SageMaker
- AI model deployment
- Venture capital
- Computer systems design and related services
- AI workflows
- AI for content recommendation engines
- AI platform development
- AI for drug discovery
- AI for venture capital
- AI for private equity operational efficiency
- MLOps
- AI testing tools
- DevOps/DevSecOps
- AI model version control
- Cloud-native
- AI governance policies
- AI for private equity
- AI automation
- AI data residency compliance
- AI governance
- Enterprise software engineering
- Enterprise software
- Model training
- LLMOps
- AI research and development
- AI deployment automation
- AI for venture capital portfolio analysis
- Scalable AI solutions
- AI for video streaming optimization
- AI scalability
- AI platform tools
- Enterprise
- SaaS
- AI
- Generative_AI
- Cloud
- Venture_capital
- Private_equity
- Federated_learning
- Data_engineering
- Security
- Compliance
- Digital_transformation
- Enterprises
- Computer software
- Information technology & services
- Internet infrastructure
- Internet
- Health care
- Health, wellness & fitness
- Hospital & health care
- Financial services
Technologies Used
- AI
- AMD SEV
- AWS Glue
- AWS Lambda
- AWS SDK for JavaScript
- AWS Secrets Manager
- AWS Step Functions
- AWS Trusted Advisor
- Amazon AWS
- Amazon CloudWatch
- Amazon DynamoDB
- Amazon EventBridge
- Amazon Kinesis Data Firehose
- Amazon Managed Streaming for Apache Kafka (Amazon MSK)
- Amazon S3
- Amazon S3 Glacier
- Anthropic Claude
- Apache
- Apache Kafka
- Apache Parquet
- Apache Spark
- Bash
- Boto3
- CAT
- Chrome
- Cucumber
- Databricks
- Django
- Docker
- Flask
- Git
- GitHub
- GitHub Actions
- GitLab
- Gmail
- Google Apps
- Google Font API
- Google Tag Manager
- GraphQL
- JUnit
- Jenkins
- Jira
- KISSmetrics
- LlamaIndex
- Material UI
- Maven
- Microsoft Azure Monitor
- Mobile Friendly
- Mode
- MongoDB
- NVIDIA
- NVIDIA DGX-1
- OpenAI
- Opt-Intelligence
- PySpark
- PyTorch
- Python
- REST
- React
- Redis
- Redshift
- Redux
- SQL
- Scala
- Selenium WebDriver
- Semrush
- Sizmek (MediaMind)
- Slack
- Spark SQL
- Spectrum
- Tailwind
- TensorFlow
- Testng
- Tor
- TypeScript
- Typekit
- Ubuntu
- Vitess
- WordPress.org
- Yarn
- YouTube
- npm
- pandas
- scikit-learn
- webpack