All solutions

Five systems. One bespoke project per client.

What we build more often. Every project is different, so this is a menu, not a package.

Per system

What each AI system delivers for recruitment and staffing.

Five examples of systems we've built for clients. What we build for you we scope in the call; often from these blocks, sometimes something new.

Email Automation

For every candidate on your outreach list, the system reads recent LinkedIn activity and writes a personal first message. No mass mailing, no generic template lines.

Tools: Our own orchestration code, Claude API, LinkedIn data via official channels, your existing email or LinkedIn tooling.
Output: Drafts ready in your outbox or LinkedIn inbox. You approve or adjust before it's sent.
Duration: Implementation: 2 weeks.

Part of the project: Submit candidates with AI screening

ATS Reactivation

For every new vacancy or request the system scans your entire historical database. The top 20 candidates land in your inbox with short reasoning per match: why this person, which experience matches, and when you last spoke. Work with a flex pool? The system surfaces your available and dormant temp workers the same way.

Tools: Our own orchestration code, Claude API, Pinecone (vector search), ATS API.
Output: Email digest per vacancy, or a post in a Slack channel of your choice.
Duration: Implementation: 2-3 weeks.

Part of the project: Activate your ATS database or flex pool with AI

CV Co-pilot

An AI CV checker trained on your criteria and feedback. Not a generic model. The system learns what you look for and screens at that level. Built for agencies with a strong judgment style they don't want to lose.

Tools: Claude API with retrieval, your existing screening format, ATS API for candidate context.
Output: Per candidate a match score with reasoning. Directly in the existing workflow, no new tool.
Duration: Implementation: 2-3 weeks (incl. a training round on your data).

Part of the project: Submit candidates with AI screening

Pipeline Intelligence

Every Monday morning a short summary of last week: time-to-fill per vacancy or request, drop-off per stage, candidates that have been stuck too long, and three concrete focus areas for the week.

Tools: Our own orchestration code, ATS API, Claude API for the summary.
Output: Email to the recruitment or branch manager. Optional team digest in Slack.
Duration: Implementation: 1 week.

Part of the project: Automate recruitment admin

Interview Notes

After every candidate call: transcription, a short summary in your format, and a draft of the follow-up email or ATS note. No more typing after a call.

Tools: Speech-to-text via Whisper, Claude API for summary + draft, ATS API for write-back.
Output: ATS note + follow-up draft, ready within 2 minutes of the call ending.
Duration: Implementation: 1-2 weeks.

Part of the project: Automate recruitment admin

How it grows

Start small, expand as it works.

You don't have to automate everything at once. We start with one system inside your own tools. Once it works and saves time, we take on the next part of your process. Step by step, at the pace that suits you. Every system runs in the environment you already use, so your team has nothing new to learn.

ATS and staffing software we integrate with

We integrate with:

Bullhorn
Carerix
Recruitee
OTYS
Easyflex
Salesforce Recruiting

Don't see your ATS or staffing software here? Send a message, chances are it works.

The stack under the hood

We build the orchestration ourselves, as code you own, with Claude (Anthropic) for language and reasoning, Pinecone or Supabase for vector storage, and the official APIs of your existing ATS or staffing software. No black box, no vendor lock-in. If we walk away, you keep going.

Where we don't start

We won't sell you a big platform to log into. We start with one workflow inside your own ATS, nothing new to learn, low risk, proven in two weeks. The rest we earn after that, step by step. Voice AI screeners are not part of v1. Generic ChatGPT courses are out too. Plaatsr is a service: we build it, maintain it and adapt it as your agency grows.

About Martin

I'm Martin. I have an MSc in AI from VU Amsterdam and a BSc in Computer Science. Five years working as a developer (Munisense, Lotify, Royal Netherlands Navy in an AI/automation role). Then two years building Recruitier, my own AI product for recruitment agencies.

Recruitier taught me two things: the technology works. But agencies don't need a new platform to learn, they need help with the tools they already have. Plaatsr is that insight turned into a service.

NVIDIA Inception alumnus.

Frequently asked questions

We already have Bullhorn AI / Recruitee AI, what do you add?

Those built-in AIs work within a single tool. We build workflows between tools, for example ATS + LinkedIn + email + calendar together. And we train on your specific criteria, not on a generic model.

How long does a typical implementation take?

First working system: 2 weeks. Further systems: 1-3 weeks each. No months-long projects.

What does it cost?

We scope during the diagnostic call. Fixed pilot price and fixed monthly retainer, always agreed up front. Concrete proposal within two days of the call.

What if our ATS data is a mess?

Normal, not a showstopper. We build around the data as it is. Database activation includes an initial data cleanup in scope.

Do you work with agencies outside the Netherlands?

Yes, as long as it's English or Dutch. Belgium is fully in scope. Other markets by arrangement.

Do you also work with staffing agencies?

Yes, recruitment and staffing agencies both. For staffing it's usually about fill rate: we match your available and dormant flex pool to incoming requests, so you're first to fill. We connect to your staffing software just as easily as to an ATS.

Further reading: AI recruitment automation, what works and what doesn't

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