Technical capabilities
The capabilities behind the products.
These are the capabilities we use on our own products first. Technology names are supporting evidence, not the story.
Technical capabilities
01
SaaS & Multi-tenant Architecture
Tenant isolation, roles and permissions, billing-ready data models and the operational tooling a subscription product needs from day one.
02
Web & Mobile Product Engineering
Production web applications and native-quality mobile products, including field-facing apps that must work on site.
03
AI & LLM Engineering
Assistants, retrieval, structured extraction and agentic workflows built against real business data with evaluation and guardrails.
04
Workflow Automation
Approval chains, scheduled operations, event-driven processes and the automation layer that removes repetitive work.
05
Systems & API Integration
Connecting products to the systems a business already runs — accounting, HR, messaging, payments and internal services.
06
Real-time Data Platforms
Live operational state shared across organisations and devices, including offline capture and later synchronisation.
07
Cloud & Product Delivery
Environments, deployment pipelines, observability and the release discipline that keeps a product shippable.
Technologies we work with
- React
- Next.js
- React Native
- PostgreSQL
- Supabase
- Python
- n8n
- Docker
- Vercel
- AWS
- GCP
- OpenAI
- Anthropic
- Google AI
A supporting list, not a capability claim. The stack follows the product decision, never the other way around.
How we build
From operating problem to scalable product.
We begin with the business model and operating problem — not the technology stack.
01
Discover
business model, workflow, users, economics
We map how the business actually makes money, where work gets stuck and who is affected before proposing anything technical.
02
Design
product strategy, UX, data and architecture
Product scope, interface, data model and system architecture are decided together, so the build does not fight the business model later.
03
Engineer
SaaS, web, mobile, APIs and cloud
We build the product for a real operating environment — multi-tenant where it needs to be, integrated where the business already runs.
04
Automate
AI, agents, workflows and integrations
Repetitive work moves into automation and AI where that measurably changes how the work is performed.
05
Scale
measurement, reliability, iteration and product growth
Instrumentation, reliability and iteration turn a working product into one the business can grow on.
Digital IP & commercialization advisory
Protect the value created by technology.
NAIT helps technology ventures identify, structure and commercialize digital intellectual property — including software copyright, trademarks, product identity, domain assets, ownership arrangements, licensing and technology transfer.
- Software copyright
- Trademarks
- Product identity
- Domain assets
- Ownership arrangements
- Licensing
- Technology transfer
Registration and legal procedures are coordinated with qualified intellectual-property representatives and legal professionals. NAIT is not a law firm and does not provide legal services.
Why NAIT
Four positions we actually hold.
01
We build what we advise.
NAIT operates products rather than only producing consulting decks.
02
Business first. Technology second.
We begin with the economics, workflow and user problem.
03
AI-native, not AI-decorated.
AI must create a meaningful capability or change how work is performed.
04
Owner mindset.
NAIT approaches product decisions as an investor, owner and engineering partner — not as a vendor optimizing billable hours.
Next step
Tell us the problem you are trying to solve.
Whether you are building a product, replacing a manual operation or looking for a technology partner with capital behind it — start with the business problem.