Custom AI & ML Solutions For Staffing Firms

We build AI that works inside your ATS, CRM, and inboxes. Drafts land where recruiters already work, candidate data stays in tools you control, and your firm owns everything we build.

Off-the-shelf tools stop at the edge of your ATS

01

AI Agents for Desk Work

Agents that draft submittals, intake summaries, and client updates from records already in your ATS, then queue them for a recruiter to approve.

02

ATS and CRM Integrations

Connections between your ATS, CRM, email, and calendar, so AI reads from and writes back to the systems your desks already use.

Recruiter working on a laptop at a desk
03

Private Model Deployments

For confidential searches or high volume, models that run in your own cloud account or on your own hardware, so candidate data never trains a vendor’s model.

04

SEO and AEO

Job pages and firm content structured so candidates and clients find you on Google and in the answers AI assistants give.

Have A Workflow You Want Built?

Custom work is priced per project. Tell us what you want automated and which systems it touches, and we’ll send a scope and a quote.

Custom AI In Practice

Questions, Answered

Which ATS and CRM systems can you connect to?

Most systems with an API or a data export, which covers the common staffing platforms. We confirm what your system allows during scoping, before any build starts. If an integration isn’t possible, we tell you up front.

Who owns what you build?

Your firm does: the code, the prompts, and the documentation. Candidate data stays in accounts you control, and another developer can pick up the work later without starting over.

How do you build candidate matching that stays compliant?

Matching suggests and never decides. Every ranking is logged so records can be kept for the four years California requires, and a recruiter reviews results before anyone is advanced or passed over.

How long does a custom build take?

It depends on scope. One drafting agent connected to one system is a small project. Several integrations or a private model take longer. The written proposal sets scope and timeline before work starts.