Stacktrace combines decades of experience building robust and secure software systems with deep expertise in Claude and agentic AI to transform how teams build and operate software.
For every business
Three levels of AI — from setup and training to integrated workflows to autonomous agents. Start where you are.
For engineering leaders
We embed with your engineering team for 2–6 weeks and transform how they build software with AI.
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Five AI advisors connected to your Xero, CRM, and documents. Strategic analysis on demand.
A couple of years ago, executing an AI project required a team of PhDs, and millions in investment, but the availability of Large Language Models has completely changed the game.
Across Australia, there is an appetite to test the capabilities of modern generative-AI, but not at the risk of sending sensitive data overseas.
We can show you how.
Case study
An Agentic Knowledge Base for Regulatory Conformance
For a regulated software vendor working through a demanding, multi-round conformance program, Stacktrace built an agentic knowledge base that turns a sprawl of specifications, workbooks, PDFs and email into a queryable, fully cited knowledge graph — and gates every submission against machine-checkable rules.
The stacktrace team are highly efficient and adaptable. They have a high level of expertise and are able to complete projects effectively with an excellent eye for detail. They are focused on collaborating with clients and really understanding the problems to create great solutions.
We like to cut through the hype surrounding generative AI by targeting small, concrete opportunities that will unblock part of your business, and deploying a proof of concept as soon as possible.
Stacktrace engineers are experts in their field. Our full stack developers are experienced in a wide variety of languages and technologies, comfortable slotting into any delivery process.
We can help augment existing software projects and teams - filling resourcing gaps, speeding up delivery and assisting with project recovery when things aren’t going as planned.