Solutions / For your industry
Recruitment and staffing
Screening CVs and chasing candidates is high-volume, low-leverage work.
What we automate
The three that pay for themselves first.
We start where the work is repetitive, high-volume, and rule-shaped. For recruitment and staffing, that usually means these.
CV screening scored against the real brief
Candidate and client follow-up handled automatically
A searchable, structured talent pool from your inbox
How we build it
Four ways the work shows up for recruitment and staffing.
Custom AI
Models wired into your data and your rules.
Off-the-shelf chat does not know your business. We build AI that reasons over your own documents, scores against your own criteria, and is evaluated on real cases before it ever touches a customer.
The result: An AI feature your team trusts, because it was measured before it shipped.
Agents and automation
The repetitive work runs while you sleep.
Agents that read the inbox, qualify, draft the reply, update the CRM, and escalate to a human only when one is actually needed. The boring 80 percent of the job, handled end to end.
The result: Hours back every week, and nothing slips through at 2am.
Web development
The software behind the brand.
Dashboards, portals, internal tools, booking flows, the web software a business actually runs on. Built in Next.js, fast on the first paint and every one after.
The result: Software that feels considered, not assembled.
Websites that sell
Built around one decision.
A page exists to move the right visitor to act. We write the copy, shoot or generate the media, and build the page around a single conversion, then measure it on booked calls.
The result: A site that earns its place in the funnel.
The outcome
Recruiters spend time on people, not paperwork.
We run every system in our own businesses before it reaches yours. If it does not survive our Tuesday, it does not ship to recruitment and staffing.
Let us look at your bottleneck.
A short call, no pitch. We tell you where AI actually pays in recruitment and staffing, and where a plain automation beats a model. Honest either way.