Matches a real profile against official immigration rules and ranks the routes actually open to it — every figure sourced, dated, and priced in the applicant's own currency.

Drafts a LinkedIn post a day in the user's own voice, schedules it against their own analytics, and publishes nothing without explicit approval.

A financial platform was losing customers to slow, unreliable transaction handling. Payment options were limited, response times were unpredictable under load, and outages were frequent enough that clients had stopped trusting the reporting.

Filing a federal tax return meant navigating rules most residents could not reasonably be expected to know. Any automation had to be exactly right: a miscalculated return is not a bug you apologise for, it is a regulatory problem for the filer.

Teams were rebuilding the same components against the same Figma files and getting different results each time. Nothing was documented, visual regressions shipped unnoticed, and page performance was drifting downward release by release.

Shift management ran on paper and messaging apps. Staff did not reliably know when they were working, and managers had no view of coverage until someone failed to turn up.

A rotating set of regional clients needed web applications built end to end, on budgets that could not absorb a specialist per layer, and with junior staff who needed to be brought up to a standard while the work shipped.