The stack.

We are deliberately full-stack — the same team that writes the interface provisions the servers, wires the DNS, and ships the firmware. This is the complete toolkit we apply across the portfolio.

A diamond puzzle of nine black pieces divided by hairlines; hovering lifts a piece.

01 Frontend & apps

Interfaces people actually use.

  • web-static

    Web — static & marketing

    Vanilla HTML5, CSS3, and JavaScript (ES6+) — fast, SEO-friendly, zero-dependency sites.

    HTML5CSS3JavaScript
  • web-apps

    Web — apps & dashboards

    Component-driven front-ends, responsive layouts, and progressive enhancement.

    SPAResponsive
  • mobile

    Mobile & cross-platform

    Flutter (Dart) — a single codebase for Android, iOS, web, and desktop.

    FlutterDart
  • state

    App state management

    Riverpod — predictable, testable state for Flutter applications.

    Riverpod

Build philosophy: start vanilla, evolve to Flutter. Simple sites ship as hand-tuned HTML/CSS/JS; product surfaces are built as Flutter apps with Riverpod.

02 Backend, APIs & messaging

Services that hold up under load.

  • api

    API services

    FastAPI (Python) — high-performance, async REST APIs.

    FastAPIPython
  • events

    Async & events

    RabbitMQ — message queues, background jobs, and event-driven workflows.

    RabbitMQ
  • ml

    Intelligence

    Machine learning — predictive features, analytics, and automation served through our APIs.

    Machine Learning

03 Data & storage

The right store for the job.

  • postgres

    PostgreSQL

    Primary relational / transactional database for structured product data.

  • supabase

    Supabase

    Postgres-as-a-service with built-in auth, realtime, and storage.

  • mongo

    MongoDB

    Document store for flexible, schema-light data.

  • firestore

    Firebase / Firestore

    Realtime app backend, authentication, and rapid product backends.

  • s3

    Amazon S3

    Object storage for media, assets, uploads, and backups.

  • fit

    Chosen per workload

    Relational, document, realtime, or object — selected per product, never by habit.

04 Cloud, infrastructure & devops

The backbone under every project.

  • firebase

    App platform

    Firebase — Authentication, Hosting, Firestore, Cloud Functions, and push messaging.

    FirebaseHosting
  • aws

    Cloud infrastructure

    AWS — compute, storage, and managed services.

    AWSS3
  • docker

    Containerization

    Docker Engine — reproducible builds and portable deployments, identical from local to production.

    Docker
  • nginx

    Web server / proxy

    Nginx — reverse proxy, SSL termination, and load balancing.

    Nginx
  • dns

    Domains & networking

    Domain registration, DNS management, subdomain routing, and URL forwarding.

    DNSDomains
  • ci-cd

    Source & CI/CD

    GitHub operations — version control, branching, pull requests, and automated build & deploy.

    GitHubCI/CD

05 Specialized & embedded

Where software meets hardware.

  • drm

    Secure video

    VdoCipher — encrypted, DRM-protected video streaming for course and LMS content.

    VdoCipherDRM
  • embedded

    Firmware / embedded

    Low-level firmware programming for IoT and connected hardware — including SOS devices.

    FirmwareIoT
  • applied-ml

    Applied ML

    Machine learning for intelligent product features and data-driven decisions.

    Machine Learning

06 Delivery pipeline

Idea pitch to L3 support — one disciplined lifecycle.

Every engagement runs through the same six phases, delivered in two-week Agile sprints.

  1. Planning & Requirements

    Idea pitch — the client or product owner pitches the concept.

    Requirements gathering — Business Analysts capture Functional (what it does) and Non-Functional (performance, security) requirements.

    Sign-off — everything is documented in a Software Requirement Specification (SRS).

    BASRS
  2. UI/UX & System Design

    Wireframing — designers map mockups and user flows in Figma or Adobe XD.

    Architecture — technical leads define the stack, database schemas, and cloud infrastructure (AWS, Azure, or Firebase).

    FigmaArchitecture
  3. Implementation

    Sprints — engineers build the product in two-week Agile iterations.

    Version control — all code is committed and managed in Git / GitHub / GitLab.

    Front-end & back-end — APIs and interfaces built with Flutter, React Native, Swift, Java, or Python.

    AgileGit
  4. QA & Security

    Testing — the QA team runs Unit, Integration, and System testing.

    UAT — the client validates the build against their business needs.

    Security & compliance — vulnerability scanning and penetration testing harden the app.

    QAUATPen-testing
  5. Deployment

    Release management — DevOps ships tested builds through CI/CD pipelines (Jenkins, Azure DevOps, GitHub Actions).

    Rollout — published to the Google Play Store, Apple App Store, or enterprise web servers.

    CI/CDDevOps
  6. Maintenance & Support

    L1–L3 support — from basic user troubleshooting to advanced bug fixes and server monitoring.

    Continuous updates — new feature enhancements delivered through subsequent sprints.

    L1–L3Monitoring

Async & scale: RabbitMQ decouples heavy background work, machine learning adds intelligence, and VdoCipher secures premium video.

The stack, in production.

See every layer of this toolkit running in real products across the registry.