Industries

Financial Services

Built for regulated firms that cannot afford demo-grade AI.

Financial services teams face a narrow path: innovate with AI and automation while keeping customer data inside auditable boundaries. We come from platform and cloud infrastructure, so the systems we build ship with access control, logging, and compliance posture designed in — not bolted on after launch.

What teams face

Regulatory pressure without slowing delivery

APRA CPS 234, SOC 2, and internal risk committees expect evidence of control — not slide decks. Architecture decisions need to satisfy auditors and still ship on schedule.

Private AI that stays private

Sending proprietary financial data to public AI APIs creates training-data risk and unclear data boundaries. Regulated firms need inference inside their own cloud account with SSO, RBAC, and full audit trails.

Legacy systems blocking automation

Core banking, loan origination, and document workflows often sit on platforms that were never designed for agents or real-time APIs. Modernisation has to be phased, secure, and reversible.

What we build

Secure internal agent platforms

AI agents wired into core systems with SSO, role-based access, and audit logging — so automated workflows remain governable under internal and external review.

Private AWS AI on Bedrock

Foundation models and RAG pipelines running inside your VPC. Customer financial data never leaves your environment or trains third-party models.

Independent architecture review

External validation of cloud and AI designs before major spend — aligned to Well-Architected, APRA expectations, and your actual threat model.