Trade & logistics
Autonomous Document Intelligence
Architecture
Extract→Classify→Cross-validate→Route
Stack
- React
- Java
- PostgreSQL
- Docker
- AWS
- 85%
- faster
- 90%
- fewer errors
- $175K
- saved / year
Technology
Engineering systems that run in production
The stack we work in, the quality gates every change passes, and how we use AI inside a disciplined engineering process.
Web appReact / Next.js
Mobile appiOS + Android
Back-officeERP screens
API & integration layerAuth · REST · events
Business servicesOrders · payroll · inventory
DataPostgreSQL · Redis
Cloud & CI/CDDocker · Kubernetes
15+ years of engineering for clients across 10+ countries and markets
Trusted across markets
Technology stack explorer
Seven layers, one production system
Pick a layer to see its role, the problems it solves, the tools we use and the projects where it runs in production.
07
AI
Role in the system
Models and tooling behind assistants, search over documents and automation.
Problems it solves
Reading and validating documents, answering from internal knowledge, automating judgment-heavy steps with a person in the loop.
Technologies
- Claude
- GPT-4o
- Gemini
- DeepSeek
- Ollama
- LangChain
- Hugging Face
- PyTorch
06
Mobile
Role in the system
iOS and Android apps for customers, drivers and field teams.
Problems it solves
Device pairing and control, delivery workflows on the road, ordering and loyalty for consumer brands.
Technologies
- iOS
- Android
- BLE
05
Web frontend
Role in the system
Web apps, portals and back-office screens for customers and internal teams.
Problems it solves
Large, data-heavy interfaces that stay fast and consistent, from marketing sites to 400+ screen enterprise apps.
Technologies
- Next.js
- React
- TypeScript
- Tailwind
- Vite
04
ERP & platforms
Role in the system
Back-office and business platforms that run daily operations.
Problems it solves
Payroll and HR rules per country, point-of-sale that keeps working offline, operational reporting.
Technologies
- Spring Boot
- .NET
- PowerBI
Used in
03
Backend & APIs
Role in the system
Business logic, integrations and APIs behind every app.
Problems it solves
Multi-tenant services with role-based access, approval workflows, third-party integrations and order sync.
Technologies
- NestJS
- Express
- Spring Boot
- Java 21
- Python
- TypeScript
02
Data
Role in the system
Transactional data, caching, queues and vector search.
Problems it solves
Keeping data consistent across services, shared caches that cut cost, search over enterprise documents.
Technologies
- PostgreSQL
- pgvector
- Redis
- BullMQ
Used in
01
Cloud & DevOps
Role in the system
Infrastructure, containers and the pipelines that ship every change.
Problems it solves
Repeatable deployments, versioned releases and quick rollback across cloud environments.
Technologies
- AWS
- Docker
- Kubernetes
- GitHub Actions
Used in
Engineering for production
Quality gates on every change
From commit to production, each change passes the same gates.
- Gate 01
Commit
A push to the main branch triggers the pipeline automatically.
Automated - Gate 02
Code review
AI-assisted review first, then a senior engineer approves every change.
Human - Gate 03
CI checks
Lint, typecheck, build and automated tests run on every change.
Automated - Gate 04
Security scan
Dependency and code scanning before anything ships.
Automated - Gate 05
Staging
Release candidate verified in a production-like environment.
Automated - Gate 06
Release approval
A named owner signs off before production.
Human - Gate 07
Deploy
A versioned container image rolls out with no manual steps.
Automated - Gate 08
Monitor & rollback
Health checks confirm the release; one command rolls back.
Automated
01
Humans approve, automation enforces
Every change passes automated checks, and a senior engineer still signs off. Automation never merges on its own.
02
Every release is reversible
Versioned images and health checks mean a bad release is rolled back with one command, not a late-night fix.
03
Observable in production
Deploys are followed by monitoring and managed operations, so issues are found by us before your users find them.
AI engineering & automation
How the AI-native workflow actually runs
AI speeds up each stage of delivery, and people stay accountable for every decision. The same discipline applies to the AI systems we build for clients.
- 1
Plan & Spec
AI helpsAn AI agent drafts requirements, specs and test cases from workshops.
People decideProduct owner and BA agree scope and acceptance criteria.
- 2
Design
AI helpsUX, architecture and design system drafts generated with AI.
People decideDesigners and architects shape and approve the result.
- 3
Build
AI helpsAI-assisted, agentic coding across the full stack.
People decideSenior engineers review and own every merge.
- 4
Test & Review
AI helpsAI-assisted QA, test generation and code review.
People decideQA engineers verify and harden before release.
- 5
Ship & Measure
AI helpsAutomated deploy, observability and alerting.
People decideThe team monitors, operates and improves after launch.
Agent loop in client systems
Plansplit the task
Actcall tools
Observecheck results
Reviewa person approves
Agents plan, act through approved tools and check their own results, but a person reviews before anything is committed.
Guardrails we build in
- Grounded in your own data (RAG)
- Tool use limited to approved actions
- Human-in-the-loop for decisions
- Evaluation before and after release
- Memory & context management
- Multi-agent orchestration
Technology in action
From stack to shipped system
Three projects in production, with the architecture, the stack and the outcome side by side.
Internal platform · localization
AI Translation
Architecture
React UI→Express API→Gemini + Ollama→Shared cache
Stack
- React
- Vite
- Express
- Gemini
- Ollama
- Docker
- 978
- glossary terms
- 708K
- tokens saved
- VI + ID
- from English
Multi-country · APAC
HR & Payroll SaaS
Architecture
React app · 400+ screens→8 Spring Boot services→Payroll rules engine
Stack
- Spring Boot
- Java 21
- React
- TypeScript
- 8
- microservices
- 400+
- screens
- 4
- languages
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Share your technical requirements
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