TECH STACK
TECHNOLOGIES
We leverage cutting-edge technology stack recommendations to build scalable, reliable, and future-proof AI-powered solutions.
Backend Infrastructure
- Cloud Platform: AWS/Azure/Google Cloud with AI/ML services
- Database: PostgreSQL for structured data, MongoDB for unstructured
- API Gateway: RESTful APIs with GraphQL for complex queries
- AI/ML Framework: Python with TensorFlow/PyTorch
Frontend Technology
- User Interface: React 18 with Next.js 14 for SSR
- Styling: Tailwind CSS for rapid UI development
- Mobile Application: Flutter for cross-platform development
- Real-time Updates: WebSocket connections for live dashboards
AI & Machine Learning
- NLP: GPT-4 API integration for content generation
- Computer Vision: Document processing and data extraction
- Automation: UiPath for complex workflow automation
- Analytics: Advanced predictive modeling algorithms
Integration Ecosystem
- CRM Integration: Salesforce, HubSpot, Pipedrive native connectors
- Communication: Slack, Microsoft Teams, Zoom integrations
- Email Infrastructure: Dedicated IP with SPF, DKIM, DMARC
- Social Media: LinkedIn, WhatsApp Business API integration
Data Engineering
- ETL Pipelines: Apache Airflow for workflow orchestration
- Data Lake: Amazon S3 with Delta Lake for analytics
- Stream Processing: Apache Kafka for real-time data flows
- Monitoring: Prometheus & Grafana for system observability
Security & Compliance
- Authentication: OAuth 2.0 with JWT tokens
- Data Encryption: AES-256 encryption at rest and in transit
- Compliance: GDPR, SOC 2, HIPAA compliance frameworks
- Monitoring: Real-time security event monitoring
DevOps & Architecture Excellence
Infrastructure as Code
- •Terraform for cloud resource provisioning
- •Kubernetes for container orchestration
- •Docker for application containerization
- •Helm charts for Kubernetes application deployment
CI/CD Pipeline
- •GitHub Actions for automated testing and deployment
- •ArgoCD for GitOps-based continuous deployment
- •SonarQube for code quality and security analysis
- •Automated testing with Jest, Cypress, and Pytest
Built for Scale and Performance
Our technology stack is designed to handle enterprise-scale workloads while maintaining the agility needed for rapid innovation and deployment.
Discuss Your Technical Requirements