Services
Engineering software
from idea to production.
Four connected disciplines, applied together on every engagement — software engineering, AI engineering, data & intelligence, and cloud & systems.
01Software Engineering
Software Engineering
Production-grade applications built with clean architecture, real test coverage, and code that's still legible a year from now.
- Custom Software
- Web Applications
- SaaS
- Mobile
- Backend
- APIs
- Modernization
app/checkout.tsx
lib/payments.ts
api/orders/route.ts
Build passingTests passingTypes passingDeploy passing
Where this applies
- 01A customer-facing web platform replacing a spreadsheet-driven process
- 02A mobile app for field or frontline teams
- 03An internal tool built around how your team actually works
- 04Modernizing a legacy system without a risky full rewrite
02AI Engineering
AI Engineering
AI integrated where it improves capability, workflow, and understanding — not stapled on as a feature nobody asked for.
- AI Applications
- Generative AI
- LLM Integration
- RAG
- AI Assistants
- AI Agents
- Document Intelligence
- Automation
- Machine Learning
NANEXI / Agent ConsoleLive
Retrieve contextdone
Reason over sourcesdone
Draft responserunning
Human reviewqueued
model: nanexi-workflow · latency 184ms · confidence 0.92
Where this applies
- 01An assistant trained on your internal knowledge base
- 02Automated document review and classification
- 03Retrieval-augmented search across scattered company data
- 04Agentic workflows that remove repetitive manual steps
03Data & Intelligence
Data & Intelligence
Data systems built to be trusted first, then made visible — pipelines, warehouses, and dashboards that hold up under real use.
- Data Engineering
- Analytics
- Business Intelligence
- Dashboards
- Pipelines
- Data Integration
- Predictive Analytics
Revenue Pipeline — Trailing 4Q
Q1
Q2
Q3
Q4
Sources unified12
Refresh cycle15m
Where this applies
- 01Unifying data scattered across separate systems
- 02Executive dashboards with real-time visibility
- 03Forecasting demand, churn, or capacity
- 04Establishing a single source of truth for the business
04Cloud & Systems
Cloud & Systems
Infrastructure that runs reliably, scales predictably, and stays observable — so growth doesn't turn into firefighting.
- Cloud Architecture
- Deployment
- DevOps
- CI/CD
- Serverless
- Containers
- Database Infrastructure
- Integrations
- Monitoring
- Maintenance
Infrastructure Topology
API
Queue
Cache
DB
CDN
APIOperational
DatabaseOperational
Deploys142 this month
Where this applies
- 01Migrating from legacy hosting to modern cloud infrastructure
- 02Setting up CI/CD for faster, safer releases
- 03Improving uptime, observability, and incident response
- 04Reducing infrastructure cost without cutting reliability