Applied AI products
LLM and multimodal capability embedded in software where it creates a measurable advantage for the user.
AI product development and agentic systems, Australia
Capability is easy. Reliability is the product.
We turn AI capability into systems people can actually use: grounded in the workflow, evaluated against the task, and engineered with explicit boundaries.
AI where it belongs.
Agentic systems
Tool-using systems with explicit state, permissions, evaluation and recovery.
MCP servers and integrations
Model Context Protocol servers that expose your systems to AI clients through scoped tools, confirmation for consequential actions and a full audit trail.
Evaluation
Task-level evaluation, adversarial cases, regression suites and operational metrics that reveal whether the system works.
AI governance by design
Architecture, controls and evidence aligned to the consequence of failure and built in from the start.
What AI product development covers
AI product development turns model capability into a usable, evaluated and dependable product. Read the full definition in What is AI product development? For MCP work specifically, see MCP server development.
Use AI for uncertainty. Use software for certainty.
Strong AI products are rarely all-AI. We keep eligibility rules, permissions, calculations, safety gates and other deterministic functions deterministic. Models are used where language, interpretation, synthesis or uncertain reasoning creates genuine value.
AI product development with Digitalis
When does an AI product need an agent?
Agentic architectures are useful when a system genuinely needs to plan, choose tools, operate across multiple steps or recover from changing state. Many products are better served by deterministic software with a narrow AI component.
How does Digitalis approach AI safety?
Safety is designed into the product architecture. We separate deterministic and probabilistic functions, define failure modes, evaluate behaviour against real tasks, constrain tool access and make uncertainty visible where it affects decisions.
Can Digitalis evaluate an existing AI product?
Yes. We can assess product architecture, workflows, model behaviour, evaluation design, failure modes and the gap between a prototype and a dependable production system.
More answers in the Digitalis FAQ.
Build what matters.
Tell us what you are trying to build, change or understand. A first conversation starts with the problem.