CV stage
Your CV shows strong service experience, but the role leans heavily on B2B outreach, which it does not yet evidence. Building even one example of proactive client acquisition would make you a strong fit next time.
Octopus Hire turns every stage of hiring into evidence. From the first CV to the final decision, you see what candidates can actually do, with the reasons behind every read, so you choose on proof, not pedigree or gut.
Most hiring runs on a pile of disconnected tools, one for sourcing, one for screening, one for assessment, and none of them share what they learn. Signal gets lost at every handoff, and the candidate and the decision both pay for it. Octopus Hire brings it onto one platform: parsing, simulation, evidence-based scoring, sourcing, and compliance, all working from the same evidence, all backed by a configurable AI Recruiter tuned to each role. You stop stitching tools together and start seeing the whole candidate.
Every stage produces evidence. Most of it runs in parallel, so the whole pipeline fits in about a week.
It looks long, but most of it runs in parallel. You send assessments and AI interviews to hundreds of candidates at once, let the projections build over about a week, then step in to interview only the few you are already sure about.
All the screening that drains your time, gone. All your attention, on the decision that matters.
Quizzes tell you almost nothing about whether someone can do the work. So we don't run them. We drop candidates into a simulation of the real job, and you compose it.
Interactive assessment composer.
Stack as many as you want. The more you add, the richer the read.
Step 2 · what the work reveals
Dozens of signals from a single assessment, grouped into the dimensions that actually predict success. A few examples in each.
And whatever else your role demands. You name what matters, we design a moment into the work that makes the candidate show it, without ever asking directly.
Tuned to the role. Demanding when the job is, lighter when it isn't.
Example: A branching shift scenario where the kind answer quietly fails the next shift. Judgment a quiz never reveals.
What the work can reveal
Name the skill or the behaviour you most need to see, and we build a moment into the job that reveals it, without ever asking the candidate directly. A few examples of what that looks like.
The real question
So we drop a real AI chat inside the task, a blank session that knows nothing, exactly like the one on their desk. To get anything useful out of it, the candidate has to feed it the context, the specifics, the tone, the limits. We read the prompt itself: do they give it what it needs, do they accept a weak draft or push for better, do they stay consistent. Not whether they have heard of AI, but whether they can think with it.
signals extracted
signals extracted
The real question
So we run a live negotiation by voice. A customer pushes back hard and starts to walk, and the candidate has to answer out loud, in real time. You hear whether they fold, get defensive, or find a new angle, before it ever costs you a real deal.
These are just examples. You tell us what matters for the role, and we design the work to reveal it, the skills and the behaviour, without ever asking the candidate directly.
Real interviews do not scale. You can sit with five people, not five hundred, so most candidates get judged on a CV they wrote about themselves. The AI interview fixes that. It runs a structured, role-specific video interview with everyone you shortlist, and feeds what they say straight into the same evidence as the assessment.
You configure what it is and what it digs for: a customer it has to win over, a difficult colleague, a client with a problem, or a straight recruiter interview, matched to the role and the exact thing you need to see. Run it across hundreds of candidates in parallel, and by the end of the week you have a real read on all of them.
Then you step in. The short human interview at the end is yours, spent only on the few the evidence already makes you confident about. You can paste your notes from that conversation back in, and they count the same as everything else. Less time spent screening people who were never right. More spent on the decision that matters.
EU AI Act disclosure to candidates and configurable forbidden-topic guardrails are built in.
AI interviewer
playing: skeptical executive
"Your team wants to bet a quarter's budget on one change that could cut errors in half, but it means pausing three projects leadership already promised. How do you decide whether to push for it, and what would make you pull the plug in the first month?"
A live, recorded video interview. Signals come from the transcript and feed AURORA. The recording is yours to review.
Our signals come from the transcript, the substance of what the candidate actually said and how they reasoned. We do not score facial expressions, body language, or tone, the things that bias a decision and that no honest system should claim to read. The full video is yours to review whenever you want, so the human-observable qualities, communication, presence, professionalism, stay a human judgment, made by your recruiter watching the real thing. AI for the evidence at scale. A person for what only a person should judge.
Every candidate, hired or not, can leave with specific, tailored feedback on where to grow. No two notes are the same, and everyone gets one, not just the finalists.
Your CV shows strong service experience, but the role leans heavily on B2B outreach, which it does not yet evidence. Building even one example of proactive client acquisition would make you a strong fit next time.
You handled the busy period calmly and communicated clearly. Where you slipped was prioritizing: a few urgent issues waited while smaller ones got attention first. Practicing triage under pressure would lift you fast.
Your negotiation instincts were excellent, you reframed objections instead of conceding. To reach the next level, work on closing: you opened doors well but did not always ask for the commitment.
Solid operational background. The gap for this role was scale: it manages multi-site coordination, and your experience is single-site so far. Seeking exposure to multi-location work would close that quickly.
Reviewed by a person before sending. Never exposes internal scores.
Bias Audit is built in: four-fifths parity analysis, statistical significance testing, 90-day drift monitoring, and CSV export. GDPR processor model, EU AI Act disclosure, audit logs, and monitoring for US, Canadian, and EU requirements. Always on, always auditable. Because every decision is justified and traceable, compliance teams do not have to take outcomes on faith. During assessment, scoring is architecturally separated from demographic data.
Every candidate is traced back to their source. You get a clear per-channel verdict on which channels are worth your budget, ranked by quality, quantity, and cost efficiency, per role and per location.
See exactly which channel is worth your budget, per role, per location, per hire.
The Brain studies the hiring outcomes you confirm, who performed and who stayed, and learns what genuinely predicts success in your company specifically: your roles, your context, your reality. That is your Company DNA.
It does not run on day one. It activates once there is enough evidence, and grows sharper with every hire you validate, moving from watching to emerging to established as the picture fills in. To get there faster, you can upload your past hires and their outcomes, so the institutional knowledge you already have starts working for you before your next hire on the platform.
Whenever you open the Brain, it shows what it has learned so far: the patterns that genuinely separate the people who thrive in your company from those who do not. Those patterns mature as evidence grows, from early signals to established ones, and every one of them comes with the reasoning behind it, never a black box.
Book a 30-minute demo and watch the full pipeline live, from CV upload through simulations and interviews to a Brain Whisper decision backed by evidence.
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