Technology consultancy · Based in Australia, working worldwide

Software and AI, engineered down to the last ıota.

We help organisations put AI into production, modernise the systems they depend on, and build the software and teams that keep it all running. We're senior and hands-on, and we embed where the work happens.

Start a conversation How we work
02Point of view

Most AI projects stall somewhere between the demo and the real world.

The demo is the easy part. The hard part is everything after it: messy inputs, legacy systems, security reviews, cost, evaluation, and a team that has to run it on Monday morning. That's where we spend our time.

We start by learning how the work is really done. Then we narrow the problem to the slice that unlocks everything else, and build it properly, all the way to production.

03

What we do

A

Advise and transform

A.01AI and modernisation consultingStrategy that ends in running software. We help you choose the right problems for AI, modernise new and existing systems, and see the plan through.A.02SignatureForward deployed engineeringSenior engineers embedded with your team, owning the outcome from discovery to production.A.03Team coachingHands-on coaching on real work that lifts how your team designs, builds and ships, including with AI.A.04Software and services engineeringAPIs, platforms, SaaS and integration, built to be secure, observable and easy to change.
B

Build and run

B.01Custom app developmentWeb apps, mobile apps and internal tools, designed around the people who use them.B.02Infrastructure management and automationCloud infrastructure as code, delivery pipelines, observability and cost control, run and improved for you.B.03Process optimisation and automationMap how work really flows, remove the waste, then automate what's left.B.04Professional services and resource augmentationExperienced architects and engineers who slot into your team or delivery program.
04Our signature engagement

Engineers in the room, not a report on the shelf.

Forward deployed engineering puts senior engineers inside your organisation, next to the people who do the work. We learn the workflow first hand, find where the time really goes, and ship software that changes it. When we leave, your team owns the code, the runbooks and the know-how.

Traditional consulting
Who designs
Consultants
Who builds
Someone else, later
Who owns the outcome
You
Where we sit
Workshops and reports
How it ends
A recommendation
Resource augmentation
Who designs
Your team
Who builds
We do, to your spec
Who owns the outcome
You
Where we sit
In your backlog
How it ends
When the contract ends
Forward deployed engineering
Who designs
We do, with you
Who builds
We do, with you
Who owns the outcome
Shared, and measured
Where we sit
With your users and engineers
How it ends
A hand-over, with your team running it
Forward deployed engineering

Compared with traditional consulting and resource augmentation.

Who designs
We do, with you
Consulting
Consultants
Augmentation
Your team
Who builds
We do, with you
Consulting
Someone else, later
Augmentation
We do, to your spec
Who owns the outcome
Shared, and measured
Consulting
You
Augmentation
You
Where we sit
With your users and engineers
Consulting
Workshops and reports
Augmentation
In your backlog
How it ends
A hand-over, with your team running it
Consulting
A recommendation
Augmentation
When the contract ends
How forward deployed engineering works
05

How we work

Read our approach
  1. 01

    Understand

    We sit with the people doing the work and learn how it really happens, not how the process map says it does.

  2. 02

    Narrow

    We find the smallest slice that unlocks the most value, and agree how we'll measure it.

  3. 03

    Build

    We build to production grade from the start: secure, tested, observable and automated.

  4. 04

    Measure

    We check results against the baseline, keep evaluating AI in production, and iterate.

  5. 05

    Hand over

    Your team gets the code, the documentation, the runbooks and the confidence to run it.

06Every iota

The small things we don't skip.

An iota is the smallest thing there is. These are the details that decide whether a system survives contact with production.

  • ι.01

    Evaluation

    AI output is tested against a golden dataset before release and monitored once it's live.

  • ι.02

    Guardrails and human review

    Uncertain results go to a person with a readable reason, and the person has the final say.

  • ι.03

    Security and privacy by design

    Least privilege, isolation, encryption, and data kept where it belongs.

  • ι.04

    Cost you can see

    Model, compute and storage costs are tracked per feature, so there are no surprise invoices.

  • ι.05

    Automation everywhere

    Infrastructure as code, CI/CD and repeatable environments from the first week.

  • ι.06

    Documentation that gets used

    Decision records, runbooks and onboarding notes, written as we go.

07Industries

Experience where reliability and compliance shape the design.

  • Insurance
  • Financial services and fintech
  • Healthcare
  • Retail and e-commerce
  • Logistics
  • Manufacturing and IoT
  • Software and SaaS
  • Government and public sector
08

Engagement models

See all engagement models
2 to 3 weeks

Discovery sprint

Understand the problem, test options on a working prototype, and leave with a costed plan.

8 to 12 week phases

Forward deployed engagement

Embedded with your team, shipping to production, renewed on results.

scoped to the outcome

Delivery project

A defined result with a clear scope, built and handed over.

ongoing

Advisory and coaching

Architecture, AI and engineering guidance for your leaders and teams.

Have a problem worth solving properly?

Tell us what you're working on. We'll reply within two business days with honest thoughts on whether, and how, we can help.

hello@iotavale.com.au