Backend language
Python
Used for automation scripts, APIs, agent tooling, and AI workflow orchestration including n8n-adjacent services.
Technology
Technology stack
NexaTechSynergy engineers across software, AI and agentic workflows, n8n automation, AIoT and Digital Twin, web delivery, and integrations - choosing proven tools that match your business problem and long-term maintainability.
Application language
TypeScript
Used for strongly-typed service logic and frontend/application contracts.
Web framework
Django
Production-grade backend framework for business platforms and admin workflows.
Service framework
NestJS
Modular API architecture for scalable microservices and integrations.
Micro framework
Flask
Lightweight API and AI service layer for focused automation components.
CMS platform
WordPress
Fast delivery of business websites with custom integrations and governance.
LLM runtime
Ollama
Local and controlled model orchestration for AI-enabled use cases.
ML framework
TensorFlow
Model training and inference pipeline support for predictive systems.
Serverless runtime
AWS Lambda
Event-driven backend execution for scalable, low-ops workloads.
Container platform
Docker
Portable environments for repeatable deployment and team handoff.
Primary datastore
MySQL
Relational data storage for transactional systems and reporting.
Digital Twin / OT
Industrial telemetry
Live operating data from motors and industrial assets into a persistent twin used by operations and maintenance teams.
Industrial messaging
MQTT
Reliable equipment-to-platform messaging for live Digital Twin synchronization, AIoT event hooks, and remote operational visibility.
IoT / plant systems
Edge & connected assets
Sensor and edge-device integration so AIoT, automation, and a software twin can follow the physical motor or machine without a redesign.
Workflow orchestration
n8n
Event-driven automation across APIs, SaaS, databases, and custom services - used as a delivery capability for reliable workflow handoffs.
AI delivery
Agentic AI patterns
Multi-step agents with tools, memory boundaries, and human approval gates - scoped to measurable operating workflows.
AI + IoT
AIoT / MQTT edge
Edge and MQTT telemetry paired with AI classification, anomaly awareness, and workflow triggers - Digital Twin adjacent.
| Technology | Category | Typical use |
|---|---|---|
| Python | Backend language | Used for automation scripts, APIs, agent tooling, and AI workflow orchestration including n8n-adjacent services. |
| TypeScript | Application language | Used for strongly-typed service logic and frontend/application contracts. |
| Django | Web framework | Production-grade backend framework for business platforms and admin workflows. |
| NestJS | Service framework | Modular API architecture for scalable microservices and integrations. |
| Flask | Micro framework | Lightweight API and AI service layer for focused automation components. |
| WordPress | CMS platform | Fast delivery of business websites with custom integrations and governance. |
| Ollama | LLM runtime | Local and controlled model orchestration for AI-enabled use cases. |
| TensorFlow | ML framework | Model training and inference pipeline support for predictive systems. |
| AWS Lambda | Serverless runtime | Event-driven backend execution for scalable, low-ops workloads. |
| Docker | Container platform | Portable environments for repeatable deployment and team handoff. |
| MySQL | Primary datastore | Relational data storage for transactional systems and reporting. |
| Industrial telemetry | Digital Twin / OT | Live operating data from motors and industrial assets into a persistent twin used by operations and maintenance teams. |
| MQTT | Industrial messaging | Reliable equipment-to-platform messaging for live Digital Twin synchronization, AIoT event hooks, and remote operational visibility. |
| Edge & connected assets | IoT / plant systems | Sensor and edge-device integration so AIoT, automation, and a software twin can follow the physical motor or machine without a redesign. |
| n8n | Workflow orchestration | Event-driven automation across APIs, SaaS, databases, and custom services - used as a delivery capability for reliable workflow handoffs. |
| Agentic AI patterns | AI delivery | Multi-step agents with tools, memory boundaries, and human approval gates - scoped to measurable operating workflows. |
| AIoT / MQTT edge | AI + IoT | Edge and MQTT telemetry paired with AI classification, anomaly awareness, and workflow triggers - Digital Twin adjacent. |
Domains we deliver
EdTech, HCM/HR, healthcare web, industrial Digital Twin and authentication, IoT, call-center integrations, e-commerce, and exam proctoring — backed by a public GitHub portfolio.
Remote delivery
Structured communication, documentation, and milestone-based delivery with flexible overlap for US business hours.