C-7B21
Emily Carter
Senior Frontend Engineer
CV82
INT—
REQ.4/6
Added 14 Jul
The hiring system
that interviews for you
Corra — Correlia's AI interviewer — screens every applicant, runs deep video and coding interviews, and hands you the evidence. You make the call.
Correlia››Candidates
Resume4
C-9E4C
Michael Thompson
Senior Frontend Engineer
CV74
INT—
REQ.3/6
Added 15 JulReady to invite
C-2D8F
Carlos Mendoza
Senior Frontend Engineer
CV68
INT—
REQ.4/6
Added 16 Jul
C-6A3B
Camila Flores
Senior Frontend Engineer
CV61
INT—
REQ.3/6
Added 17 Jul
Interview4
C-1C7E
James Walker
Senior Frontend Engineer
CV57
INT—
REQ.2/6
Added 18 Jul
C-4F2A
Priya Sharma
Senior Frontend Engineer
CV79
INT—
REQ.5/6
Added 21 JulInvited
C-3B9D
Rohan Iyer
Senior Frontend Engineer
CV83
INT—
REQ.5/6
Hot lead
Added 20 JulInvited
C-5E1F
Sarah Mitchell
Senior Frontend Engineer
CV71
INT—
REQ.4/6
Added 19 Jul
Final3
C-A24C
Diego Torres
Senior Frontend Engineer
CV66
INT73
REQ.3/6
Visa
Added 17 Jul
C-7D63
Anjali Krishnan
Senior Frontend Engineer
CV78
INT86
REQ.4/6
Added 16 Jul
C-2F81
Sofia Ramirez
Senior Frontend Engineer
CV84
INT91
REQ.6/6
Star
Added 13 Jul
Offer2
C-9C35
Arjun Patel
Senior Frontend Engineer
CV72
INT64
REQ.4/6
Added 14 Jul
C-6B7A
Isabella Garcia
Senior Frontend Engineer
CV76
INT84
REQ.5/6
Added 12 Jul
Hired2
C-D18E
Marcus Webb
Senior Frontend Engineer
CV81
INT77
REQ.5/6
Added 15 JulHired
C-4A96
Elena Petrova
Senior Frontend Engineer
CV89
INT93
REQ.6/6
Star
Added 12 JulHired
Rejected3
C-8E2B
Tom Nakamura
Senior Frontend Engineer
CV85
INT88
REQ.5/6
Added 13 JulRejected
C-1F4D
Grace Liu
Senior Frontend Engineer
CV87
INT90
REQ.6/6
Added 12 JulRejected
C-8F52
Liam O'Brien
Senior Frontend Engineer
CV88
INT—
REQ.5/6
Added 18 JulRejected
10K+
Interviews run
10×
Faster shortlists
24/7
Candidate availability
40+
Interview languages
96%
Match with final hiring decisions
A new species of hiring tool. AI budgets are rotating from software seats to agents that do the work. Correlia is that agent for hiring — it interviews, scores, and reports, while your team keeps every decision.
Verifiable by design
Corra layers screening, interviews and real work tasks into one candidate file. Evidence, not vibes.
Supervised, not autonomous
Corra runs the interviews. Your team makes every hiring decision with full context.
Built for speed
Interviews start the moment a candidate clicks — shortlist in days, not weeks. No calendars, no timezone math.
Screen every applicant, not a sample
Corra reads every resume against your role requirements, scores the fit, and fills the pipeline — no application goes unread.
1.0Screen→Thread in #hiring⋮
EW
Emma Wilson10:02 AM
New application for Senior Frontend Engineer. Can you score Elena against the role requirements?
C
Corra10:02 AM
Elena scored 89/100. Strong match on React, TypeScript, and product UI. Evidence is linked to every requirement.
YT
Yulia T.10:03 AM
Great — invite her to the structured interview and post the result back here.
@Corra invite Elena Petrova to the Senior Frontend interview
Aa@
Corra reads every resume against your role requirements, scores the fit, and fills the pipeline — no application goes unread.
Deep video interviews, without the scheduling
Corra runs avatar-led video interviews that verify hard and soft skills in depth. It adapts every follow-up to the role and can stay with a candidate for up to two hours.
2.0Interview→Corra runs avatar-led video interviews that verify hard and soft skills in depth. It adapts every follow-up to the role and can stay with a candidate for up to two hours.
Live coding, no engineers in the room
Corra opens a timed coding task during the interview and stays in the conversation while the candidate works. Your team gets the code, test results, and replay — not another meeting.
3.0Code→main.goRun code
1package main
2
3import "fmt"
4
5func twoSum(nums []int, target int) []int {
6 seen := make(map[int]int)
7 for i, num := range nums {
8 if j, ok := seen[target-num]; ok {
9 return []int{j, i}
10 }
11 seen[num] = i
12 }
13 return nil
14}
15
16// Candidate explains the O(n) approach
Console
Waiting for candidate code…✓2 / 2 tests passed38 ms
Corra opens a timed coding task during the interview and stays in the conversation while the candidate works. Your team gets the code, test results, and replay — not another meeting.
Decisions backed by evidence
Corra puts resume evidence, skill verification, interview reasoning, transcript, and antifraud checks in one candidate file. Your team can trace each recommendation to the source.
4.0Decide→LK
Lavanya KIA–245
ML Engineer (AI) · US Remote
Strong fitOffer
OverviewInterviewTranscriptAntifraud
AI overview
Corra’s evidence-backed summary
Strong technical depth in evaluation pipelines for NLP and LLM systems, backed by a project that reduced hallucinations by 30%.
Follow-ups confirmed data-driven collaboration and surfaced a gap in proactive cross-team alignment.
Score breakdown
Hard skills78%
Soft skills75%
Requirements59%
Vacancy requirements match
10 of 17 job requirements verified
Python100%SQL100%PySpark100%Machine learning100%Predictive modelling100%Data visualisation60%Cloud platforms60%Azure ML30%Large language models30%Databricks certification0%
Strengths
- Built an evaluation pipeline for a RAG assistant
- Reduced hallucination rates by 30%
Growth areas
- Limited detail on large-scale evaluator reliability
- Could show more depth on cross-team alignment
Interview evidence
Question 1 of 4 · 27:53 interview
Describe a project where you built an automated evaluation system for AI models.
“I built a benchmark dataset, added grounding and citation checks, and reduced hallucinations by 30%.”
Confirmed under follow-upReasoning and transcript linked
Corra puts resume evidence, skill verification, interview reasoning, transcript, and antifraud checks in one candidate file. Your team can trace each recommendation to the source.
Every signal. One decision.
Screening, structured interviews, coding evidence, and antifraud signals become one decision layer — showing candidate quality, funnel health, and where every vacancy needs attention.
5.0Monitor→Analytics/Hiring intelligence
All vacancies
Candidates
128
All vacancies
Awaiting interview
24
19% of candidates
Completed interviews
47
37% of candidates
Hiring funnel
Conversion through each completed hiring stage.
Candidates128100%
Screened9675%
Interview4749%
Offer919%
Hired667%
Score distribution
Best available candidate score in scope.
0–5918
60–7434
75–8452
85–10024
Score sourceOverall → Interview → Resume
Candidate trend
New candidates and completed interviews by month.
CandidatesCompleted interviews
Vacancy health
Compare volume, conversion, speed, and attention.
VacancyConv.DaysNeeds
Senior Frontend Engineer
Active · 64 candidates · Remote
Data Analyst
Active · 38 candidates · New York
Product Manager
Paused · 18 candidates · Berlin
Screening, structured interviews, coding evidence, and antifraud signals become one decision layer — showing candidate quality, funnel health, and where every vacancy needs attention.
Works where your team already works
Corra plugs into the tools your team lives in — no new tab required.
Slack
Find candidates, send invites, approve Corra's actions, and get hiring updates — without leaving Slack.
Claude
Connect Correlia to Claude via MCP — manage vacancies, candidates, and interviews from your AI workspace.
Linear
Corra pulls live tasks from Linear, so interviews and work samples reflect the real projects a candidate will join.
More integrations coming — tell us what you need.
Changelog
15 releases · May–July 2026
Live coding & spreadsheet tasks
Run real work samples inside the interview and review every submission from the candidate profile.
Corra in Slack
Find candidates, send invites, approve actions, and receive hiring updates without leaving Slack.
Candidate comparison
Compare finalists across scores, requirements, experience, and differentiating skills.
Recruiter-controlled pipeline
Move and bulk-manage candidates across every stage, with Corra available in context.
“Applications were coming in faster than our team could review them. Correlia screened the entire pipeline and ran the first interviews for us, saving hundreds of hours and the cost of adding more recruiters.”
Yulia T.Co-founder, ConnectHum96%
of Corra’s interview recommendations matched the hiring team’s final decisions.
Measured across pilot cohorts, 2026
Correlia has run 10,000+ structured interviews and screened nearly 11,000 candidates — for teams from venture funds to product companies.
Request a demo →We’ll show it on your role
30 minutes. Bring a live vacancy — we’ll set up the interview script, run Corra on it, and walk through the report together.
- Your role, your requirements — not a canned demo
- See a real scored report with transcript and code replay
- Pricing and pilot scope on the same call
No procurement. No credit card. From $500/month after pilot.
GDPR-compliantCandidate data encryptedA human makes every hiring decision
Questions, answered
A candidate opens an invite link and starts whenever they're ready — any time, any timezone, no scheduling. Corra leads a structured video interview in the candidate's language, going as deep as the role needs, with live coding or spreadsheet tasks when the vacancy calls for them.