Building the Future with Cutting-Edge Tools

Our Technology Stack

Eepos recommends technologies according to product requirements, existing architecture, scalability, security, integration needs, and long-term maintainability rather than forcing every project into a fixed technology stack.

Web Development

Our web development stack supports customer portals, internal platforms, SaaS products, APIs, and responsive business applications. The team selects frontend and backend technologies according to the existing architecture, performance needs, integration requirements, security model, and the people who will maintain the product after launch.

HTML5

Standard markup language for creating web pages

CSS3

Style sheet language for designing websites

Go (Golang)

Compiled language designed for efficient performance

Java

Object-oriented programming language for cross-platform applications

JavaScript

High-level scripting language for interactive web features

.NET

Microsoft framework for building applications

Node.js

JavaScript runtime for building scalable server-side apps

PHP

Open-source scripting language for server-side development

React

JavaScript library for building user interfaces

Ruby on Rails

Full-stack web application framework written in Ruby

Data Science & AI/ML

Our AI and data technologies support machine learning features, analytical workflows, model experimentation, intelligent automation, and data-backed product decisions. Tooling is selected around the available data, the intended business outcome, explainability needs, deployment environment, and the monitoring required to keep an AI-enabled feature useful over time.

Python

Popular language for data science and AI development

Jupyter

Interactive notebooks for data visualization and analysis

Apache Spark

Cluster-computing framework for big data processing

Tableau

Visual analytics platform for business intelligence

PyTorch

Deep learning framework for training AI models

TensorFlow

Google's open-source library for machine learning

R

Statistical programming language for data analysis

Orange

Visual programming tool for data mining and ML

Scikit-learn

Machine learning library for Python

Data Analytics

Analytics platforms help product and operational teams turn application data into dashboards, reports, and measurable product insights. We consider data quality, event design, access permissions, reporting cadence, and integration with existing systems before selecting a business intelligence or product analytics tool.

Mopanel

Product analytics tool to track user interactions

Amplitude

Analytics platform for product intelligence

Power BI

Microsoft's business analytics service

Heap

Tool for automatic user behavior tracking

Metabase

Open-source business intelligence dashboard tool

Mobile Development

Our mobile development technologies support native and cross-platform applications for iOS and Android. Framework decisions account for device features, release timelines, performance, offline behavior, existing team skills, shared code requirements, app-store maintenance, and the long-term cost of supporting each platform.

Flutter

Cross-platform toolkit from Google

Kotlin

Modern programming language for Android development

Objective-C

Programming language for iOS/macOS development

Swift

Apple programming language for iOS and macOS apps

React Native

JavaScript framework for building native mobile apps

DevOps

Cloud and DevOps tools support repeatable builds, automated testing, controlled deployments, infrastructure management, and application monitoring. Eepos plans delivery workflows around the client's hosting environment, access model, release process, rollback needs, scalability targets, and the level of operational support required after launch.

Jenkins

Automation server for building and deploying code

AWS

Amazon cloud platform offering scalable services

GitLab

DevOps platform for CI/CD and source control

Terraform

Infrastructure as Code tool for managing cloud services

GitHub Actions

CI/CD tool for automating workflows on GitHub

Docker

Platform for containerizing and deploying applications

GitLab CI

CI/CD pipeline service for rapid code delivery

Kubernetes

Container orchestration system for automating deployment

Database

Database technologies are selected around data relationships, query patterns, consistency, scale, latency, backup requirements, and integration needs. Relational, document, cache, embedded, and real-time data services can be combined where the product architecture benefits from clear ownership and a maintainable data model.

MongoDB

NoSQL database for flexible, JSON-like documents

PostgreSQL

Advanced open-source relational database

Redis

In-memory key-value store for fast caching

MySQL

Popular open-source relational database system

SQLite

Lightweight embedded SQL database engine

Firebase

Platform for building real-time web applications

Blockchain

Blockchain technologies can support approved decentralized application and smart-contract requirements where a distributed ledger provides a practical product benefit. Architecture decisions should consider custody, transaction costs, security review, network choice, user experience, system integrations, and the maintenance implications of immutable on-chain behavior.

Web3

JavaScript library for interacting with Ethereum blockchain

Ethereum

Decentralized blockchain platform for smart contracts

Hyperledger

Enterprise-grade distributed ledger framework

Solidity

Programming language for Ethereum smart contracts

MetaMask

Browser extension wallet for blockchain apps

UX/UI Design

Product design tools support research, interface design, prototyping, design review, and developer handoff. The design workflow is chosen to keep business stakeholders, users, designers, and engineers aligned while preserving accessible interaction patterns and a maintainable component system across web and mobile products.

Adobe XD

Design and prototyping tool for UI/UX

Sketch

Vector-based design tool for interface design

Figma

Collaborative design tool for UI and prototyping

InVision

Tool for interactive UI/UX design prototypes

Marvel

Rapid prototyping platform for designers

Cybersecurity

Security tooling supports authentication, encryption, vulnerability assessment, application testing, and review of network or web traffic. Controls and tests are selected for the product's threat model, data sensitivity, architecture, hosting environment, user roles, and the security responsibilities defined in the engagement scope.

OpenSSL

Toolkit for SSL and TLS encryption

2FA

Two-Factor Authentication for enhanced security

Palo Alto

Network security and firewall solution

Nessus

Vulnerability scanning tool for network protection

Wireshark

Network protocol analyzer for security analysis

Metasploit

Penetration testing framework for security assessment

Burp Suite

Web application security testing platform

Auth0

Authentication and authorization platform

OWASP

Open Web Application Security Project standards

Quality Assurance (QA) & Testing

Quality assurance technologies support browser automation, API testing, performance testing, unit tests, behavior-driven specifications, and test-case management. The team builds a testing approach around product risk, release frequency, supported devices, critical user journeys, integration boundaries, and the evidence needed for confident handover.

Cypress

End-to-end testing framework for web applications

Selenium

Framework for testing web apps across browsers

Testrail

Test case management tool for QA teams

JMeter

Load testing tool for performance testing

Postman

API testing and collaboration platform

Zephyr

Test case management tool for QA teams

Cucumber

BDD testing framework for readable tests

Playwright

End-to-end testing framework by Microsoft

Gauge

Test automation framework with markdown specs

Gherkin

Language for writing test scenarios

Jest

JavaScript testing framework by Facebook

Mocha

Flexible JS test framework for Node.js apps