Backend systems, APIs, and cloud infrastructure.

Service-oriented architectures, cloud infrastructure, and systems integration. On AWS, Google Cloud, Azure, or on-premises.

How we build backends

AI agents scaffold services, generate API contracts, and maintain boilerplate across integrations. Engineers design the system boundaries, define data models, and review every integration point. The architecture decisions stay human; the implementation accelerates.

We work with Node.js, Java, and .NET on Windows and Linux stacks. PostgreSQL is our default database, with Redis for caching and messaging between distributed components. For machine learning workloads, we use Python.

We've built on AWS, Google Cloud, and Azure — and we've deployed on-premises and in private clouds depending on what the client's infrastructure requires.

Node.js Java .NET PostgreSQL Redis Python AWS Google Cloud Azure

Talk to us about backend architecture

Architecture focus

Architecture and infrastructure.

APIs, cloud infrastructure, and integrations designed for the systems that actually need to run in production.

API Design & Service Architecture

REST APIs and service-oriented architectures for N-tier distributed systems. Clear contracts, explicit service boundaries, and room to scale without piling on coordination cost.

Agents generate service scaffolds, API contracts, and integration tests. Engineers own the domain boundaries and data flow.

Node.js Java .NET

Cloud & Infrastructure

AWS, Google Cloud, and Azure environments. We've deployed on managed cloud services, on-premises, and private clouds depending on what the client needs.

Agents generate deployment configurations and infrastructure scaffolding. Engineers own security, cost optimization, and architecture decisions.

AWS Google Cloud Azure

Data & Integrations

Systems integration including SSO connectors, document storage providers (SharePoint, Office365, Google Drive), business process automation, and ML services such as chatbot development and document classification.

Agents handle connector boilerplate and data transformation scripts. Engineers design the integration architecture and error handling.

PostgreSQL Redis Python

What we build

Backend projects we work on.

API development, cloud infrastructure, integrations, data pipelines, and architecture consulting.

REST API design & implementation

API layers that support multiple clients and future integrations — typically as part of a full-stack engagement with mobile or web teams.

Systems integration

SSO connectors, document storage (SharePoint, Office365, Drupal, Google Drive), and other system-to-system connections where reliability matters.

Business process automation

Task automation, document approval workflows, and BPM implementations that reduce manual coordination across teams.

Machine learning services

Chatbot development, cognitive services, and document classification using ML — integrated into existing backend systems.

Architecture audits & optimization

Technical reviews that diagnose where the system is slowing delivery, raising costs, or creating operational risk — with concrete improvement proposals.