How it works
A fair read is a structured read.
The same three steps, run the same way for every applicant, from the first to the two hundredth. No skimming, no auto-rejecting, no keyword filter dropping good people quietly.
Define the role once
Give Slate the role: a title, the must-haves, and the nice-to-haves. This is the standard every application is read against, the same for the first applicant and the last.
role: Customer Success Manager · 4 must-haves
The role
Customer Success Manager
Seed-stage SaaS · fully remote (US)
Slate reads every application
Each application is read in full and against the role. Slate works through the must-haves, checks each against the evidence, and keeps personal characteristics out of the read. This is the part only modern language models can do.
240 applications · read against the role · one rubric
Structured screen
You get a fair read, with reasons
For every candidate: the fit, a plain-language summary, the reasons tied to the exact lines, and the requirement-by-requirement view. You review and decide.
18 shortlisted · every reason sourced · a human decides
Renata Alvarez
Strong fitRenata has run a book of SaaS accounts for four years and points to a concrete retention result, not just responsibilities. The application shows comfort with a technical product and clear, structured writing. The main thing to check is the size and stage of the accounts she owned.
Directly owned SaaS accounts, which the role asks for. “Managed a book of 40 mid-market SaaS accounts worth $2.1M in ARR.”
Evidences a churn result, not just the responsibility. “Cut gross churn from 14% to 8% over three quarters by rebuilding onboarding.”
Fair by design, and a human decides
One rubric for everyone
The same must-haves, read the same way. Two similar candidates get similar reads, whether they applied first or last.
Our fairness approachModel-agnostic
Slate routes across leading models per task, so the read stays consistent as the models improve, and is never locked to one vendor.
How the AI worksA human always decides
Slate surfaces the evidence and the gaps, then stops. It never auto-rejects and never makes the call.
See the productSee it read your own role.
Start free, paste a role and a few applications, and see the evidence-based read for yourself.