5-25 recruiters

DearTech-OS for Recruiting & Staffing companies

Recruiting & Staffing teams already have the knowledge they need, but it is usually split between Bullhorn, Lever, Greenhouse, documents, calls, and founder memory. DearTech-OS turns that context into a living company knowledge layer your team can query, trust, and maintain.

Where context breaks for Recruiting & Staffing teams

DearTech-OS starts with the real places where operating knowledge gets scattered, stale, or trapped with one person.

Candidate, role, client, and market context lives across disconnected systems

Recruiters repeat the same role explanation and search logic across channels

Client intake knowledge is hard to reuse across similar searches

Passive candidate context decays between conversations

Compliance and source notes are not easy to inspect later

What DearTech-OS connects

The first build is deliberately focused. We choose the operating area where better context will improve the most decisions fastest.

Company knowledge graph

Map the decisions, customer patterns, operating assumptions, and team knowledge that shape how recruiting & staffing companies work.

AI-ready retrieval

Give AI tools better context by connecting the source material, definitions, and operating logic behind the answers people need.

Reporting context

Connect the assumptions behind investor updates, operating reviews, GTM reporting, and board preparation.

Team onboarding

Turn scattered know-how into a shared layer new team members can navigate without waiting for the founder to explain everything.

Built around your existing tools

DearTech-OS does not ask your team to abandon the systems they already use. It creates a clearer layer across the sources where company knowledge already lives.

BullhornLeverGreenhouseLinkedIn RecruiterHubSpot

A focused first layer

Recruiting teams rely on fast, accurate context transfer. DearTech-OS connects role requirements, client preferences, candidate signals, market notes, and source standards so knowledge from one search strengthens the next.

  • Source and ownership standards
  • Graph structure your team can inspect
  • Retrieval paths for AI-assisted work
  • Maintenance rhythm after handover

Ready to see what your recruiting & staffing knowledge layer could look like?

In a 30-minute call, we'll map the first DearTech-OS layer worth building for your team.

Let's chat