Enterprise AI
Innovate Faster,
Operate Smarter
At NStarX Inc., we deliver Enterprise AI services to drive innovation, efficiency, and growth. Our expertise spans MLOps, AI Engineering, Data Science, and Advisory, enabling seamless AI adoption, scalable platforms, actionable insights, and tailored strategies. We empower businesses to integrate AI for transformative and sustainable outcomes.
Enterprise AI
Explore Our Comprehensive Range of Services
Explore how we can drive your enterprise forward with tailored AI solutions that deliver measurable results.
Advisory
Data Engineering
Federated Learning & Distributed AI
AI Platform
Data Science
Advisory Services
NStarX Inc. provides comprehensive Enterprise AI Advisory Services designed to empower organizations to adopt AI effectively, develop robust production architectures, and execute Proof of Concepts (POCs) or Minimum Viable Products (MVPs). Our advisory services are tailored to meet the unique needs of ISVs, healthcare providers, media companies, and investor communities (VCs and PE firms).
Key Advisory Services
Why Choose NStarX Advisory Services?
Domain Expertise
Deep understanding of ISVs, healthcare, media, and investment sectors.
Outcome-Oriented
Focus on delivering measurable results from AI investments.
Customizable Approach
Services tailored to fit the unique needs of your organization.
End-to-End Engagement
From discovery to execution, we ensure seamless follow-through.
Target Industries
Investor Communities (VCs and PE firms)
Identify high-value AI opportunities in portfolio companies.
Independent Software Vendors (ISVs)
Enhance product capabilities with AI.
Healthcare Providers
Improve patient outcomes and operational efficiencies.
Media Companies
Personalize content delivery and streamline workflows.
Data Engineering Services
NStarX Inc. offers robust Data Engineering Services tailored to help enterprises in healthcare, media, ISVs, and investor communities (PE and VCs) build reliable, scalable, and high-performance "Enterprise AI" applications. Our services focus on enabling seamless data management, integration, and preparation to fuel AI-driven business outcomes.
Key Data Engineering Services
Key Tools Across the Data Engineering Lifecycle
| Lifecycle Stage | Enterprise Tools | Open Source Tools | Purpose |
|---|---|---|---|
| Data Ingestion | Informatica, Talend, Fivetran, AWS Glue | Apache NiFi, Logstash, Flume | Collect and ingest data from diverse sources |
| Data Integration | SAP Data Services, MuleSoft, Azure Data Factory | Apache Kafka, Airbyte, dbt | Consolidate and transform data across systems |
| Data Storage | Snowflake, Google BigQuery, Microsoft Azure Synapse | Apache Hadoop, Apache Hudi, Delta Lake | Centralize structured and unstructured data |
| Data Processing | Databricks, Cloudera, AWS EMR | Apache Spark, Flink, Beam | Process large-scale data in real time or batches |
| Data Quality and Governance | Collibra, Alation, Informatica Axon | Great Expectations, Apache Atlas | Validate, clean, and govern enterprise data |
| Big Data Platforms | IBM BigInsights, Oracle Big Data Service | Hadoop, Presto, Hive | Process and analyze big data efficiently |
| Data Security and Compliance | Microsoft Purview, AWS Lake Formation | HashiCorp Vault | Manage access controls and secure sensitive data |
| Analytics Integration | Tableau, Power BI, Looker | Superset, Metabase | Visualization and reporting of processed data |
| AI/ML Data Preparation | H2O.ai, SAS Data Preparation | Pandas, Scikit-learn, TensorFlow Data Validation | Prepare data for AI/ML model training |
Why Choose NStarX Data Engineering Services?
Domain Expertise
Extensive experience in healthcare, media, ISVs, and investment domains.
AI-Driven Focus
Every data engineering solution is designed to meet the demands of Enterprise AI applications.
Scalable Solutions
Architectures optimized for future growth and high-volume data needs.
Security-First Approach
Prioritizing compliance and protection of sensitive data.
Federated Learning and Distributed AI Services
NStarX Inc. delivers an innovative open-source-based Distributed AI framework designed to address the challenges of data sovereignty and residency, enabling enterprises to build compliant, secure, and scalable AI solutions. With our focus on Federated Learning, we help regulated industries such as healthcare, media, ISVs, and investor communities (PEs and VCs) thrive in environments constrained by data localization laws.
Key Federated Learning Services
Why Choose NStarX for Distributed AI?
Expertise in Distributed AI
Open-Source Leadership
Rapid Prototyping and Deployment
Focus on Collaboration
Built-In Compliance
Cost Efficiency
Cloud-Native and Flexible Architecture
Proven Results in Regulated Industries
Benefits to Enterprises in Regulated Industries
Enhanced Security and Trust
Accelerated AI Innovation
Scalability and Flexibility
Data Sovereignty and Residency Compliance
Improved Collaboration and Productivity
Tools Supporting Distributed AI Framework
| Category | Enterprise Tools | Open Source Tools | Purpose |
|---|---|---|---|
| Data Ingestion and Integration | Informatica, Talend, AWS Glue | Apache NiFi, Flume, Airbyte | Data extraction, transformation, and loading |
| Data Storage | Snowflake, Google BigQuery, Azure Synapse | Apache Hadoop, Delta Lake, MongoDB | Centralized and distributed data storage |
| Model Training and Orchestration | SageMaker, Vertex AI, Databricks | Kubeflow, MLflow, TensorFlow Extended (TFX) | Training, tuning, and deploying AI models |
| Federated Learning | IBM Federated Learning | FATE, TensorFlow Federated, PySyft, Flower | Distributed AI model training |
| Monitoring and Observability | Dynatrace, New Relic | Prometheus, Grafana | Real-time performance and metrics monitoring |
| Security and Compliance | Azure Policy, AWS Lake Formation | HashiCorp Vault, Aqua Security | Secure data handling and compliance tracking |
| Experimentation Tools | H2O.ai, SAS | Jupyter Notebooks, SciKit-Learn | Rapid prototyping and experimentation |
| Collaboration and Portal | Tableau, Looker | Superset | Unified analytics and reporting dashboards |
| Scalability and Automation | Terraform, Ansible, CloudFormation | Kubernetes, Helm, Docker | Automated provisioning and container orchestration |
Case Studies: Federated Learning
AI Platform Services
NStarX Inc. specializes in building advanced AI platforms leveraging open-source technologies like Kubeflow and Kubernetes and enterprise-grade tools like Databricks. We deliver scalable, secure, and robust AI solutions tailored to ISVs, healthcare providers, media companies, and investor communities (PEs and VCs). Our expertise spans AI portal development, MLOps, ModelOps, DataOps, and comprehensive AI testing to meet enterprise-grade demands.
Key AI Platform Services
Why Choose NStarX for AI Platform Development?
Expertise in Scalable AI Platforms
Security-First Approach
End-to-End Services
Customization for Industry Needs
Accelerated Development
Key Benefits of Building an AI Platform with NStarX
Enhanced Scalability
Handle massive data volumes and increasing AI demands effortlessly.
Improved Reliability
Ensure consistent performance through automated testing and monitoring.
Faster Time-to-Market
Accelerate AI adoption with streamlined workflows and pre-configured solutions.
Cost Efficiency
Optimize resources with Kubernetes-based orchestration and cloud-native designs
Enterprise-Grade Security
Protect sensitive data with robust encryption and access controls.
Cross-Team Collaboration
Enable data scientists, engineers, and business stakeholders to work together seamlessly.
Regulatory Compliance
Align AI platforms with strict industry regulations and standards.
Key Tools for Building AI Platforms
| Category | Enterprise Tools | Open Source Tools | Purpose |
|---|---|---|---|
| AI Portal | Power BI, Looker | Superset | Visualization and management of AI processes |
| MLOps | SageMaker, Databricks MLflow | Kubeflow, Airflow | Model lifecycle automation |
| ModelOps | Domino Data Lab, Azure AI | MLflow, TensorFlow Model Garden | Operationalize and scale AI models |
| DataOps | Informatica, Talend, AWS Glue | Apache NiFi, dbt, Great Expectations | Manage data pipelines and governance |
| AI Testing | H2O.ai, SAS | PyTest, TensorFlow Data Validation (TFDV) | Test AI models for robustness and fairness |
| Security and Compliance | Azure Policy, AWS Lake Formation | HashiCorp Vault, Open Policy Agent | Ensure compliance and secure data handling |
| Monitoring and Observability | Dynatrace, Datadog | Prometheus, Grafana | Monitor AI performance and metrics |
| Collaboration and Experimentation | Databricks Workspaces, JupyterHub | Jupyter Notebooks, Google Colab | Collaborative experimentation and testing |
| Scalability | Kubernetes, OpenShift | Docker, Helm | Container orchestration and scalability |
Data Science Services
NStarX Inc. offers cutting-edge Data Science services designed to help enterprises unlock the full potential of their data. Serving ISVs, healthcare providers, media companies, and investor communities (PEs and VCs), NStarX provides tailored solutions for data-driven decision-making and innovation.
Key Data Science Services
Enterprise and Open Source Tools for a Comprehensive Data Science Practice
| Category | Enterprise Tools | Open Source Tools | Purpose |
|---|---|---|---|
| Data Preparation | Alteryx, Informatica, Talend | Pandas, Apache Arrow, DataWrangler | Cleaning, transforming, and organizing data |
| Data Visualization | Tableau, Power BI, Looker | Matplotlib, Seaborn, Plotly, Superset | Creating dashboards and visual analytics |
| Machine Learning Frameworks | H2O.ai, SAS Viya | TensorFlow, PyTorch, Scikit-learn | Model training and optimization |
| NLP Tools | AWS Comprehend, Azure Text Analytics | spaCy, NLTK, Hugging Face Transformers | Text analysis and processing |
| Computer Vision | Google Vision AI, AWS Rekognition | OpenCV, Detectron2 | Image and video data processing |
| Data Storage and Management | Snowflake, Google BigQuery, Azure Synapse | Apache Hadoop, Delta Lake, MongoDB | Storing and managing structured and unstructured data |
| Model Deployment | SageMaker, Databricks MLflow | Kubeflow, BentoML | Deploying and managing ML models |
| Experiment Tracking | Domino Data Lab, Neptune.ai | MLflow, Weights & Biases | Tracking model experiments and iterations |
| Big Data Processing | Cloudera, Databricks | Apache Spark, Dask | Processing large-scale datasets |
| Collaboration | Confluence, JIRA, Slack | Jupyter Notebooks, Google Colab | Collaboration and project management |
| Security and Compliance | Microsoft Purview, AWS Macie | Open Policy Agent, HashiCorp Vault | Ensuring data security and compliance |
Why Choose NStarX for Data Science Services?
Industry Expertise
End-to-End Support
Cutting-Edge Technology
Security and Compliance
Accelerated Outcomes
Key Benefits for Enterprises
Enhanced Decision-Making
Data-driven insights enable better strategic planning and execution.
Increased Operational Efficiency:
Automation and optimization of business processes.
Scalability and Flexibility
Solutions designed to grow with organizational needs.
Improved Customer Experience
Tailored AI solutions that enhance engagement and satisfaction.
Regulatory Confidence
Compliance with industry standards ensures trust and transparency.
