Our Technology Stack

AI & Machine Learning Infrastructure

• Language Models: Claude, OpenAI GPT-4o, Perplexity, Gemini, DeepSeek, Mistral and others per use case.

• ML Frameworks: PyTorch for production AI, JAX for high-performance research, MONAI for medical imaging applications.

• Vector Databases: Pinecone, Chroma, and FAISS for semantic search and retrieval-augmented generation (RAG).

• AI Development: Amazon Web Services for custom model fine-tuning, embedding generation, and intelligent content processing.

Automation & Orchestration

• Workflow Automation: n8n for visual workflow building with native AI capabilities and 500+ integrations.

• Agent Orchestration: AutoGen for multi-agent systems, LangChain for complex AI operation chaining.

• MCP Integration: Advanced Model Context Protocol implementation for seamless AI tool connectivity.

• Process Intelligence: Fair-code automation platforms supporting both no-code and full programming flexibility.

Modern Data Stack

• Real-Time Analytics: Serverless data processing for instant health system monitoring.

• Database Technologies: Neon (serverless Postgres), Supabase (with vector similarity search), Redis for caching.

• Data Pipeline: ETL automation, real-time data synchronization, and intelligent preprocessing.

• MLOps: Vertex AI for model deployment, Arize AI for real-time model monitoring and performance tracking.

API-First Architecture

• Integration Patterns: GraphQL, REST APIs, webhooks, and real-time synchronization protocols.

• Microservices: Cloud-native, serverless deployment with automatic scaling.

• Enterprise Connectivity: FHIR compliance, HL7 integration, and healthcare data interoperability standards.

• Security & Compliance: Zero-trust architecture, end-to-end encryption, and HIPAA-compliant data handling.

Cloud-Native Infrastructure

• Deployment: Kubernetes orchestration, Docker containerization, CI/CD automation.

• Serverless Computing: Modal for inference, Baseten for model serving, and edge computing optimization.

• Monitoring & Observability: Real-time health tracking, automated alerting, and performance optimization.

• Security: We secure AI workflows and data with zero-trust, MFA, API gateways, encrypted storage (S3, Pinecone), continuous monitoring, and HIPAA-compliant controls.

• Scalability: Auto-scaling infrastructure adapts to demand while maintaining cost efficiency.

Measurable Impact

• 70% reduction in manual data processing time through intelligent automation.

• 40% improvement in resource allocation efficiency using predictive algorithms.