AI-native Engineering
OpenAI and Anthropic build the intelligence.
We decide what's worth building with it - then our senior engineers and agentic workflows ship it into production, with the audit trail regulated products need. Led by a principal, not a project manager.
Engineering the Future for High-Growth Startups and Enterprises
why mindevolved
01
The AI-native playbook isn't a pivot for us. It's how we've built since before it had a budget line.
02
OpenAI, Anthropic, or open-weight - we pick what your problem needs, not what one vendor's roadmap requires.
03
The new lab consultancies chase enterprise-scale deals. We take your Series A problem and treat your board demo as our deadline.
04
Pismo to Visa. 86400 to NAB. We've shipped the regulated, high-stakes payments infrastructure most teams only read about.
case studies
Explore our case studies showcasing scalable architectures, AI-driven solutions, and modern engineering practices.
Workplace technology startup
A three-month fractional CTO engagement: taking charge of the client's engineering team in Poland, putting engineering practices in place and steering delivery through a launch with national brands in quick-service restaurants, property and logistics.
Australian financial services and credit provider
A multi-agent pipeline that interprets inconsistent banking data, structures it for credit assessment and hands it to an underwriting agent, with confidence checks, full traceability and human authority over every consequential decision.
Investment management firm
Taking on product engineering end to end and delivering an iOS and Android investment platform on a compressed timeline - moving investor onboarding from desktop and paper processes onto mobile.
Payments platform
Supplying specialist cloud, DevOps and engineering capacity on demand. The most recent engagement consolidated a split delivery toolchain onto one CI/CD standard and introduced GitOps with ArgoCD across the estate.
Payments platform
Replacing a legacy client portal end to end - new architecture, new underlying services, and a fully custom design system on React Aria, TypeScript and TanStack, built inside the client team and now in production.
Climate tech marketplace
Taking a two-sided marketplace from idea to launched MVP - a React web platform and an AI matching engine that pairs solution providers with corporate and government buyers on the substance of what each side needs.
Services
Senior AI leadership - in your board meetings, architecture reviews, and vendor decisions - without the full-time cost or the wrong hire.
View more →We map where AI will have real impact, build the systems that deliver it, and stay until it's embedded in how your team actually works.
View more →Custom AI agents that take autonomous action inside your business - built for your data, your workflows, and your stack.
View more →Web and mobile products built end to end by senior engineers working AI-native - engineering depth delivered at AI speed.
View more →We embed AI into your existing infrastructure - legacy systems, compliance-heavy workflows, enterprise tools - without asking you to start over.
View more →We embed senior engineers who use AI as a force multiplier - faster output, and a team that's more capable when the engagement ends.
View more →FAQs
A fractional AI CTO gives you senior technical leadership part-time: deciding what to build with AI, choosing the architecture and vendors, and being accountable for the technical roadmap, without the cost of a full-time executive. It suits companies that need that judgement now but not a permanent hire, typically before a first CTO is in place or while an existing team adopts AI. At MINDEVOLVED the role is filled by a senior principal who stays close to delivery, not an adviser who hands over slides.
By treating an agent like any other material system: a documented purpose and boundaries, human approval before consequential actions, every decision and tool call logged, and evaluation before each release. For APRA-regulated entities, that evidence maps onto information-security and operational-risk obligations (CPS 234 and CPS 230). We build these controls into the agent from the start rather than adding them before an audit.
An agent is production-ready when it's reliable on real data, not just impressive in a demo: it has clear limits on what it can do, it's tested against an evaluation set before every change, its actions are logged and traceable, and a human signs off on anything consequential. Most agent projects stall between demo and production; closing that gap is the work we specialise in.
Mostly teams building regulated financial products: payments, lending, banking and wealth platforms, from funded startups to ASX-listed companies. We're based in Sydney, with clients across Australia, Singapore and the US. Every client has extended beyond their first engagement.
Engagements are led by an accountable senior principal and usually run on time and materials or a monthly retainer. We don't sell fixed packages, because the work is shaped by your product, your systems and what we learn as we go. You'll know who owns the technical direction from day one.
Get in touch through the contact page. We'll start by understanding the problem, your constraints and the systems it has to fit alongside, before anyone writes a specification. We're happy to sign an NDA before that first conversation.