Your AI-powered
hiring assistant.

It reads. It checks. It interviews.
You still decide.

start where it hurts
process 01Smarter ScreeningRead and score every application, not just the top of the pile. 02Better ShortlistingRank on twenty signals, with the evidence behind each one. 03Faster SchedulingNo calendars, no slots. One link, good for fourteen hours. 04Fairer InterviewsQuestions built from the role, answers scored against a written rubric.
use cases 01Resume VerificationEvery claim read in context, not lifted out as a keyword. 02AI Cheating PreventionBuilt for the copilot era: divided attention, novel questions. 03Volume ScreeningThe same rubric for applicant one and applicant a thousand. 04Pre-BGV FilterA consistency check before formal verification spend.
Pricing Join waitlist

resumes.
One perfect hire.

You spend the week on four people, not two hundred. Nobody is rejected by a machine.

You're in. We'll email you once, when it's your turn.
Private beta. $100 in credits. No card, no sales calls.
watch two hundred become four
“I can’t read two hundred.”

Read everything

Your criteria against every single application. Not keyword bingo. Actual reading, with the evidence kept.

“I can’t tell what’s true.”

Check the claims

Every claim is checked against the public record and the candidate's own history. What holds up, what looks overstated, with sources.

“They all look the same.”

Put it to the test

A structured interview built from the role, taken on their own schedule. Every answer is scored against a rubric written before anybody applied, with the quote attached.

…one perfect hire.

Meet four, not 214

Top Picks, Contenders, Prospects. Every name on it has receipts you can show the hiring manager.

reading all 214 of them… now, checking her claims interview time and… ranked.
PN
Priya NairSenior Backend · 9 yrs
94
EXPERIENCE
Led migration of 40+ services to Kubernetes
Managed a team of 12 engineers!
SKILLS
KubernetesGolangPostgres
PROJECTS
EDUCATION
0
0
0
every score keeps its receipts
checks out ✓
this one looks overstated
12 claims: 11 held up, 1 flagged
interview · live
PN
Priya Nair
AgentR
AgentR: walk me through the Kubernetes migration.
"We migrated in three phases, strangler pattern first…"
camera on · one face · one screen
interview score · 92/100
Ranked shortlist214 screened
Top Picks
1Priya Nair✓ Verified94
2Marcus Lee88
Contenders
3Sofia Reyes82
Prospects
4Daniel Kim76+38 more
proctored

Cheating got easier. So did catching it.

Two layers watch an interview. One sees the room, the other sees the machine. Neither of them decides anything about the person.

it can close a room. it can never close the door on a candidate.

proctored

What it won't do.

The shortlist is a recommendation. Every decision on it stays yours.

It won't reject anyone

Nobody is filtered out on the way to you. The whole pile arrives, ranked, weak end and all. Where to stop reading is your call, not a threshold's.

It won't call anyone a liar

Every claim earns one of six verdicts, from supported to mismatch, with the sources beside it. A flag is a question worth asking, not a character judgement.

It won't interview everyone

Only candidates above the bar you set are invited automatically. The rest wait for you, so no interview is spent without your say.

It won't score a suspicion

A camera flag or a locked room never touches a number. It lands as a marker on the recording, for you to watch and weigh yourself.

How it works, in four numbers.

No made-up statistics. Just what it does every time, and the one number you pick yourself.

0
Every application is read in full. Nobody gets skipped.
0
Applications the software rejects on its own. Every no comes from a person on your team.
0
Things we look at in each resume, like how a career has grown, or what a gap was for.
0
How closely someone has to match what you asked for before we invite them to interview. You pick this number.

why we built this

Three weekends. Two hundred resumes. One role. Half of them claimed the same achievement. Two of them could prove it.

So we built this. It reads every one, checks what people claim, and shows you why. You still decide.

the AgentR team

Want in?

We onboard a few teams each week, in the order people signed up. You start with $100 in credits.

You're in. We'll email you once, when it's your turn.
One email when it's your turn. That's it.
Human Machine