Our Engineering DNA

Latency
14 ms
Uptime
99.9%
Compliance
HIPAA / SOC2
Concurrency
12.3 K Users

We believe in iterative development: analyze a little, design a little, code a little, and test a little.

We leverage vendor-neutral, cloud-native architecture, an API-first development approach, SOLID principles, pair programming, and automated testing integrated into CI/CD pipelines.

Besides coding, our team places equal emphasis on non-functional requirements, including:

Scalable systems designed to handle growing demand
High availability, targeting nearing 100% uptime
Low latency and high throughput for faster response times
Adherence to software compliance standards
24x7 support and rapid incident response

Operational Standards

We strictly follow standard operating procedures to ensure software reliability, resilience, security, maintainability, consistent quality, improved developer productivity and meet service level agreements (SLAs). After the application goes into production, we continue to optimize and enhance it using techniques such as edge computing for low latency, load balancing for scalability, and monitoring for continuous improvement.

Guidelines for Agile requirements engineering, programming, testing, and version control
Security: CI/CD for testing & vulnerability scanning, data encryption, and audit logs
RTO/RPO compliance: Immutable versioned backups and automated recovery testing
Incident Management: Prioritize incidents, do RCA, resolve, and document the solution
Development Ecosystem

Applications We Develop

From enterprise systems to ML-powered platforms and cross-platform mobile apps, we build cost-effective solutions without sacrificing quality.

Real-Time Processing Systems

We excel in building systems that aggregate and process real-time data streams from distributed sources into live dashboards for instant decision-making.

Business Applications

We build end-to-end B2B workflows — automating procurement, inventory, warehousing, order management, integrated logistics, and secure payments.

Data Integration

We employ ETL & CDC to consolidate data from multiple sources into warehouses, or apply data virtualization that provides unified view without physical movement.

Machine Learning Integration

We embed AI models into operational systems to automate routine tasks, enhance decision-making, improve forecasting and personalize customer experiences.

Monoliths to Microservices

Transitioning to a microservices architecture can be complex. We have successfully migrated production systems in increments without bringing them to a halt.

Technology Stack

We leverage industry-leading technologies, tools, frameworks and languages — preferably open source — to build resilient and scalable software.

Node.js

JavaScript Runtime

Python language

Data Science and ML

Java Language

OOPS with FP features

PostgreSQL

Relational Database

Nats

Messaging Systems

React JS

Building UI

PyTorch

ML Framework

Spring Boot

Java Microservices

AWS

Cloud Infrastructure

Azure

Cloud Computing

Docker

Container Runtime

Kubernetes

Container Orchestration

Clickhouse

OLAP Database

Tailwind CSS

Utility-first framework

Modernization for established enterprisesSolid foundations for growing startups

Whether you are planning to build a prototype, migrate a legacy application, or develop a new application with AI-first scalable architecture, get in touch with us to explore how ObjectServe can assist your team.

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