Dash. Your talent shortlist is just a prompt away.

Dash is Amply's AI assessment layer. It scores and ranks every candidate against your role using the same structured criteria, with the reasoning behind every score.

The qualified candidates are in there. Buried.

New applicants pile up, and strong past candidates sit forgotten in the database. Comparing them by hand is slow, inconsistent between recruiters, and prone to error, so good people get missed. A growing share of applications now come from AI agents rather than people, making it even harder to know what's real.

How Dash works

1. Describe who you need

In plain language, or point Dash at the job description.

2. Approve the plan

Dash builds a detailed, editable assessment plan. Adjust criteria, add your own scoring frameworks, keep criteria private that you don't publish in the ad.

3. Review the shortlist, not the pile

Dash scores and ranks every candidate against the plan, new applicants and existing database alike, whether the pool is 25 or 250,000.

Why teams trust the results

Every score is explainable

Each result carries a written rationale, cited to the CV, screening notes and ATS records, so you can defend any shortlist to a hiring manager.

The score can't see the name

Assessments evaluate skills and experience only; names are ignored in scoring, so results can't shift with the gender or ethnicity a name implies.

Sort the best from the bots

AI agents are mass-applying to roles, and keyword screening can't tell the difference. Dash's structured assessment digs past the padding to what a candidate has actually done.

Interview-ready output

Dash flags CV gaps worth probing and generates screening and interview questions from the role.

Runs where recruiters work

Query Dash, run assessments and surface candidates directly from Slack.

Equiti Group runs Dash across its recruitment workflow.

Frequently asked questions

How does Dash score candidates?

Dash builds an assessment plan from your role, then scores and ranks every candidate against the same structured criteria. You describe who you need in plain language, or point Dash at the job description. You review and edit the plan before it runs, including criteria you keep private and do not publish in the ad. Dash then scores new applicants and your existing database against it, whether the pool is 25 or 250,000.

Can I see why a candidate got the score they did?

Yes. Every score carries a written rationale against the criteria you approved, cited to the CV, screening notes and ATS records. That means a shortlist you can defend to a hiring manager rather than a number you have to trust.

Do we have to move off our current ATS?

No. Dash is ATS-agnostic and sits on top of the system you already run. There is nothing to migrate and nothing to replace. Your ATS stays where it is and Dash adds the assessment layer above it.

Can Dash find candidates already in our database?

Yes. Dash scores your existing database against the same plan it uses for new applicants, so strong past candidates are ranked alongside fresh ones rather than left in the system. Most databases contain people who were close on a previous role and were never looked at again.

How does Dash handle applications from AI agents?

A growing share of applications now come from AI agents rather than people. Dash scores against structured criteria and the evidence behind them, which separates real candidates from automated volume. The problem it solves is not just how many applications arrive, but how many of them are real.

Is our candidate data secure and GDPR compliant?

Yes. Amply is ISO 27001 certified and GDPR compliant. Robin and Dash are configured to your data processing and retention policies, and Amply processes candidate data on your instructions and for no other purpose.