AI software development
LLM features, RAG pipelines, agents and copilots wired into the stack you already have, with the evals and limits that make them safe to ship.
- LLMs
- RAG
- Agents
- Evals
Software & AI engineering studio
Ideas,
engineered to last.
We build software that people actually use. Custom apps, mobile and SaaS platforms, from the first sketch through to launch. We also build AI products and consult on AI workflows, when AI is genuinely the right tool for the job.
- End-to-end
- Concept to launch
- Full-stack
- Web · Mobile · AI
- Auckland
- Delivering worldwide
What we do
Full-stack engineering, plus AI that holds up.
Shipping solid, working software is the base. On top of that we build AI products, consult on AI workflows, and take on advisory work for teams who already have engineers of their own.
AI workflow consulting
We find where your team loses hours, then rebuild those parts around AI. Usually automations, a few internal tools, and playbooks so people actually use them.
- Automation
- Internal tools
- Adoption
Full-stack development
Backend APIs through to the frontend people touch, built on technology that has been around long enough to trust.
Mobile development
Native iOS and Android apps that feel fast and don't get deleted after a week.
Platforms and data
SaaS platforms and database design that still holds up when the traffic and the data grow.
Analytics and insights
PostHog goes into every build, so you can see what people do in your product instead of guessing.
Software consulting
Sometimes you don't need a build, you need someone to look at what you've already got. Architecture and code reviews, technical due diligence, or a second opinion before you commit to a direction. Hourly, and plenty of it never turns into a build project.
Where AI fitsScope an AI project
AI that still works in month six.
A lot of AI demos look great and fall over a fortnight later. We spend the time on the unglamorous parts (evals, limits, monitoring) so yours keeps working after launch.
AI software development
We design and ship AI inside real products. Chat and copilots, RAG over your own data, agents that take on the repetitive work.
- LLM & multi-model integration
- RAG & vector search
- Agentic workflows & tools
AI workflow consulting
We look at how your team works now, find the parts worth changing, and rebuild them around AI. Then we stay on long enough to see people using it.
- Workflow audit
- Custom internal tools
- Rollout & training
datanest / ai-workflow
$datanest deploy --ai workflow
$✓ mapped 7 manual workflows
$✓ shipped RAG assistant + 3 agents
$✓ hours of manual work handed back
$status
Faster
Fewer hours on repetitive work
Reliable
Evals & monitoring built in
How we work
A way of working that keeps surprises small.
01
Discover
We get into your goals, your users and whatever is in the way, then work out what's worth building first.
02
Design & build
Short cycles, with working software in your hands early rather than one big reveal at the end.
03
Ship
We launch with analytics and monitoring already running, so you can see how it's going from day one.
04
Iterate
What people actually do in the product decides what we build next. We keep refining alongside your team.
FAQ
Questions, answered
The things teams ask us before kicking off a software or AI project.
What do you actually do with AI?
Two things. We build AI into products (copilots, RAG assistants, agents, automations), and we consult on AI workflows, which means looking at how your team works now and rebuilding the slow parts around AI. We built our own product for that second part, Orbit, where your team plans the work and agents do the execution. We run our own projects on it, so most of what we suggest has already been tried on ourselves first.
orbitwork.shHow do you keep AI features reliable?
We treat it like any other system. Evals to measure quality, limits to keep it in bounds, monitoring so you catch it drifting early. The demo is the easy part. We build for the version that still works in month six.
How long does a typical project take?
It depends on scope. A single AI workflow or automation can land in 2 to 4 weeks. A full application is usually 3 to 6 months. We give you a timeline up front and keep working software in your hands the whole way through.
What are your pricing and payment terms?
Fixed price projects, hourly consulting, or an ongoing support retainer, whichever suits you. Builds are usually 50% up front and 50% on completion, with milestone payments on the bigger jobs.
How do you handle security and code quality?
Code reviews, automated tests and the usual security practices on every build. With AI that also means being careful with your data and your prompts. Nothing ships untested, and we can stay on for maintenance afterwards.
How do I get started?
Book a time, or email hello@datanest.co.nz with a rough sketch of what you're after. We'll have a short chat, scope it out, and come back to you with a plan and a timeline.
Let's build
Have an idea? Let's engineer it.
A new product, a platform that needs to hold more weight, or AI fitted into how your team already works. Book a call and we'll scope it out together.