Hi Anaya, a senior Go role on a payments team. Hybrid, with the salary band in the brief.
Anaya
Interesting. How many days in the office?
Zia
Three days in Bangalore. Want a voice interview this week?
Zia
Booked: interview Thursday 16:30
Naira report cardVoice · Naira
Maya Thompson·Applied for Collections Specialist·Interviewed Sep 27, 2026, 38 min
74.0/ 100 overall
AlignedIntegrity 96%English (CEFR) B2
Strongly not alignedAlignedStrongly aligned
“Clear, calm caller who secured a payment plan without pressure tactics; audit caught 4 of 5 compliance slips. Speaks fluently at a natural call pace.”
Handle a Customer Who Disputes a Past-Due Balance
M2Voice only
Module Score4.1 / 5
Strengths
Verified identity before discussing the balance
Offered a concrete 3-month plan unprompted
Weaknesses
Slight hesitation stating the exact due date
Did not repeat the total balance for confirmation
Evidence (transcript quotes)
“I understand this is frustrating — let's find a plan that works for you and confirm it today.”
Naira report cardVoice · Naira
Maya Thompson·Applied for Collections Specialist·Interviewed Sep 27, 2026, 38 min
74.0/ 100 overall
AlignedIntegrity 96%English (CEFR) B2
Strongly not alignedAlignedStrongly aligned
“Clear, calm caller who secured a payment plan without pressure tactics; audit caught 4 of 5 compliance slips. Speaks fluently at a natural call pace.”
Handle a Customer Who Disputes a Past-Due Balance
M2Voice only
Module Score4.1 / 5
Strengths
Verified identity before discussing the balance
Offered a concrete 3-month plan unprompted
Weaknesses
Slight hesitation stating the exact due date
Did not repeat the total balance for confirmation
Evidence (transcript quotes)
“I understand this is frustrating — let's find a plan that works for you and confirm it today.”
Talent intelligence ranks the people you can already see, including inside your own company. An AI recruiter goes out to the ones who will never arrive. Which you need depends on which problem is actually stopping you.
Eightfold is a talent intelligence layer: it ranks candidates and employees against a role over a skills graph, and since July 2026 also runs a career-site candidate agent and an AI interviewer for people who arrive. EmployLabs works outbound — sourcing per role, contacting candidates who never applied across email, WhatsApp, voice and web, interviewing them against your rubric, and returning a shortlist with evidence behind every verdict. Choose Eightfold for internal mobility, workforce planning, HRIS integration or a dated bias audit; choose EmployLabs when the constraint is execution.
Two different jobs
Eightfold builds a skills view across your workforce and the outside market, and tells you who matches a role. It reasons over a corpus the company states as 1.6 billion career trajectories and a graph of 1.6 million skills, combined at deployment with your own ATS and HCM records, so external candidates and your own employees are ranked against the same requisition. Since July 2026 it also puts an agent on your career site and an AI interviewer behind it.
EmployLabs runs the role. A job description becomes a governed decision engine; the system then searches for the people, contacts them on their own channels, screens them against your must-asks, interviews them by voice, and returns a ranked shortlist with the evidence behind every verdict attached.
The distinction is not that one of them talks to candidates. Both do. It is which candidates. Eightfold’s agent lives at your front door and answers whoever arrives. Ours goes out to somebody who was never going to arrive.
Which one you need
The question is not which product is better. It is which of two problems is actually stopping you.
You cannot see the talent you already have.Roles get filled externally that somebody in Pune could have done. Skills live in nobody’s system. That is a talent intelligence problem, and no amount of external sourcing touches it.
You know who you want and nobody is reaching them.A ranked list of passive candidates arrives and stays a list, because contacting two hundred people, chasing them, screening them and running first interviews is a fortnight of work nobody has spare. More intelligence about those people changes nothing. That is an execution problem, and it is the one we solve.
Company size does not decide this. A four-hundred-person company hiring twelve specialists a year and a fifteen-thousand-person company hiring specialists into a new division have the same execution problem, and we run both.
Outcome
Eightfold
EmployLabs
What lands on your desk
A ranked, skills-inferred view of candidates and your own employees against the role, with interview output where the AI interviewer was used on people who applied.
Candidates found, contacted, screened and interviewed, each carrying a completed voice interview and the evidence behind every verdict.
What you still do yourself
The outbound. Reaching a matched candidate who has not applied is your recruiters' work, or a separate CRM's.
The judgement: closing, the hiring-manager conversation, the decision.
Time to the first useful thing
An implementation, with HRIS integration and a data project behind it.
Days, on a single role, with nothing to integrate.
What you keep afterwards
A skills graph across your workforce that compounds over years.
The pipeline, the market read, the scoring and the interview evidence, for this role and the next one.
Where it fails you
Adoption. A workforce-wide system only pays back if the whole organisation uses it.
A brief nobody thought hard about. Aimed at a badly specified role, it produces confident activity and no hires.
What each one can actually do
Outcomes describe what you end up with. This is the work itself, job by job, because a buyer building a requirement list needs to know which boxes each product can genuinely fill. Where Eightfold’s published material does not describe a capability, the row says so rather than reading an absence into it.
Finding and deciding
Eightfold
EmployLabs
See who inside your company could do the role
Its home ground. Employees and external candidates are matched against the same role over the skills graph, reasoning about adjacency rather than keyword presence.
Not offered, and not on the roadmap. The platform works outside your organisation.
A full product line covering redeployment, succession and contingent workforce strategy.
Not offered.
Decide what the role actually requires
The role is matched against a skills graph the company states as 1.6 million skills, inferring capability rather than reading keywords.
One role definition, generated from the job description, drives both the search and the scoring. Each must-have is judged three ways — met, contradicted or not stated — and only positive evidence of a mismatch disqualifies. Candidates are then ranked on seven anchored dimensions: skill match, ownership, scale, problem complexity, environment quality, domain depth and company background, plus a small soft-signal bonus.
Weigh what a profile says against what it leaves out
Not described in published product material.
Requirements are recorded once, quoting the JD's own words. A must-have the profile contradicts is decisive; one the profile is silent on is never a reject, and is put to the candidate.
Find candidates for the role
Matched from the 1.6 billion-trajectory corpus, assembled from public sources over a decade and combined with your own ATS and HCM records.
Searched per role across 800M+ professional profiles worldwide, alongside your own inbound applicants and anyone already in your pipeline.
Explain why a candidate scored what they scored
Deep-learning match scores, with explainability surfaced on the result.
Every judgement cites the line of evidence from the profile that produced it, rather than a similarity figure, and a score is stored only when every dimension has been judged.
Change a requirement and re-score
Not described in published product material.
Change a requirement and the people it can affect are re-scored against the new rubric automatically.
Reaching, assessing, governing
Eightfold
EmployLabs
Contact a candidate who has not applied
Not among the products the company markets. Outreach to a matched candidate is carried out by your recruiters, or by a separate CRM.
A four-email sequence over a week, personalised against each person's actual background, with one AI phone call for Indian numbers once the email has reached them.
Hold the conversation and answer their questions
Candidate Agent, released July 2026: hosted by the employer, available around the clock in 22+ languages, carrying one continuous thread through role discovery, questions and application.
One engine across email, WhatsApp, phone and web, so the candidate is reached where they answer. It knows that person's score, can discuss their specific strengths and gaps against the role, and asks the must-haves their profile left unverified. AI phone calls run for Indian numbers within India's TRAI calling hours; other markets are reached by email and WhatsApp.
Interview the candidate
AI Interviewer, 22+ languages, around the clock; the company states it automates a large share of manual recruiter screening. A combined multi-format session is announced for a later release.
A structured multi-module browser voice interview, recorded with proctoring events, or a take-home with a follow-up defence call. A conductor prevents phases being skipped, so every candidate faces the same structure against the same rubric.
Assess a technical candidate on what they can build
Not described in published product material.
The candidate writes code in a live editor and explores a real repository with the interviewer while the conversation continues; the code is read and discussed with them, not executed.
Assess a non-technical role on evidence
Matching covers all role types. Interview coverage for non-technical roles is not detailed in published material.
The same structure and the same rubric cover sales, operations and finance, with document-based exercises, so those candidates are assessed on demonstrated evidence rather than on a CV read.
Produce something a hiring manager can act on
A ranked set of recommendations with match explanation, and interview output where the AI interviewer has been used.
A five-level alignment rank with written rationale, then role fit, behavioural signals from what the candidate said, skill depth with quotes, spoken-English (CEFR) level, strengths citing the transcript, risks with severity, development points and next steps — on a share link for the whole role that only people you name can open, which expires and can be revoked.
Record why the system decided what it decided
Enterprise-grade audit and reporting, alongside its published compliance artifacts.
An append-only record of every automated decision and every human override, alongside contact, spend and opt-out records.
Show you where you and the system disagree
Not described in published product material.
Every override is logged, and the override rate per role is reported.
Search without naming the employer
Not described in published product material.
The employer can stay unnamed on public pages, and a role can run sourcing-only with outreach switched off.
Produce a dated independent bias audit
An independent audit of the matching model completed March 2026 under NYC Local Law 144, passing all three assessed sections, published by the company.
The Local Law 144 and EU AI Act posture is structural: one rubric on every candidate, a person at the final gate, a complete decision record.
Flow into the system your organisation runs on
Native integrations with Workday, SAP SuccessFactors, Oracle HCM, Greenhouse and Lever.
One live connector, Zwayam, submits finalists with a generated CV into the client's portal. Greenhouse, Lever and Workday are not built; finalists reach the hiring manager by share link rather than export.
Read the two tables as one shape. The rows at the top of the first and the bottom of the second are the reason a large organisation buys talent intelligence, and nothing we do replaces them. Everything between is the fortnight that stands between a ranked list and a hire.
What actually arrives
“Evidence-backed scoring” is a phrase, so here is the thing itself. Every requirement on the role returns a verdict and the line from the candidate’s profile that decided it.
Ananya R.
Senior Backend Engineer · Bengaluru
Strong alignment
6+ years backend engineeringMet
“Backend engineer since 2018, currently Senior Engineer IIon the payments platform.”
Distributed systems at scaleMet
“Owned the event pipeline handling 40M daily transactions.”
Has led a team of 3+Not stated
Profile does not say either way. Added to this candidate's screening questions.
Based in or moving to PuneNot met
“Bengaluru, not currently open to relocating.”
One candidate against one role. Two requirements met with the sentence that proves each, one the profile never addressed — which becomes a screening question rather than a deduction — and one genuinely not met.
Behind that sits the voice interview: multi-module by design, phases enforced so nobody gets a rushed screen, a live editor and a real repository for the technical rounds, and a report that cites the transcript for every strength, gives each risk a severity, and sets out development points and next steps. It arrives on a share link for the whole role that only people you name can open, which expires and can be revoked, so nothing is exported.
A ranked list tells you who to call. This tells you what happened when somebody did.
Where we work
We run mandates for seventy-one client organisations across nine countries, among them Deccan AI in California, Philogen in Italy, phamax in Switzerland, Space Matrix in Singapore and Solinas in Chennai. The work spans deep-tech robotics, biotechnology, consulting, design and enterprise software.
That range is the point rather than the count. Leadership searches across those domains — Chief Business Officer, VP Sales, Chief of Staff, Head of Growth, founding-team hires — are run by our own experienced recruiters, because a senior search is unrecognisable between a robotics company and a biotech and the person running it has to know the difference. The platform carries the map, the evidence and the administration underneath them. Sourcing is global; India-specific compensation benchmarks by role, city and experience level sit on top of it.
What it costs you to find out
This is where the two purchases differ most and it rarely appears in a comparison. A workforce intelligence platform is a commitment before it is a result: integration, data work, change management, and an organisation that has to adopt it before anything pays back. The decision is large and slow by construction.
Ours is one role. Give us a brief, watch the market map, look at the sample, arm it or do not. Automation is off by default and set per role from manual through to full; nothing sends and nothing spends until somebody says so, and there are caps on both. If it is not working you stop — with the pipeline, the scoring and the market read still yours.
What Eightfold does that we do not
Internal mobility. Matching your existing employees to open roles before you hire externally. We have no view of your workforce and this is genuinely theirs. It stops being the deciding factor the moment the role is one nobody internal can fill, which is most specialist and leadership hiring.
Workforce planning. Succession, skills gaps across a division, contingent workforce strategy. A different discipline from filling a role, and relevant only if that is the problem you are solving this quarter.
A dated independent bias audit. Their matching model was audited under NYC Local Law 144 in March 2026 and the result published. If your legal team needs one on file this quarter, that answer is theirs. Our posture is structural — one rubric applied to every candidate, a person at the final gate, and an append-only record of every automated decision and every human override — which is what an auditor would examine, not a substitute for the examination.
HRIS-deep integration. If the requirement is that candidate data flows into the system your whole organisation runs on, that is real and we do not do it today. One live connector, Zwayam, submits finalists with a generated CV into the client's portal; Greenhouse, Lever and Workday are not built. It matters less than it sounds when the roles in question are ones your ATS has never seen a candidate for.
Running both, concretely
For a large organisation this is the sensible configuration, and it is operational rather than diplomatic. The workforce graph answers whether a role should be filled internally at all. When the answer is no — which is every genuinely specialist hire — the brief comes to us and the execution happens here. Finalists and their evidence reach the hiring manager by share link and are entered into whatever holds your requisitions the way any externally sourced candidate reaches it today, or submitted directly where that portal is Zwayam.
The mistake is buying either expecting the other. A career-site agent will not approach anybody who never visits it. We will not tell you the person for this job already works in your Pune office.
What a TA lead actually wants to know
Once a strong candidate is identified, who contacts them? With talent intelligence, one of your recruiters, or a CRM you drive. With us, the system does, on the channel that person answers on.
What do I show my hiring manager? The evidence per requirement and an interview report — alignment rank with rationale, skill depth with quotes, risks with severity, next steps — on a link they can open themselves, rather than your summary of a ranked list.
Which parts run without a human, and where can I put a gate? Nothing runs until a person arms the role and chooses its scope — source only, source and outreach, or the full pipeline — and its caps. Typed interventions ask a person when judgement is needed: a budget exhausted, no new supply, outreach or assessment approval where you set one. Everything else runs unattended and is logged.
What compliance artifacts can you produce today, dated, and by whom? Theirs: an independent Local Law 144 audit from March 2026. Ours: the decision record, the override log and the single rubric, with third-party artifacts on the roadmap. Put that question to both of us and read both answers literally.
How fast do I know if it works? One role. If the shortlist after the first cycle is not better than what your team produces, you have your answer and you have lost a fortnight rather than a budget cycle.
What happens to the work if we stop? The candidates, the scoring, the evidence and the market read are yours and stay yours.
The decision, stated plainly
If your problem is that you cannot see the talent you already employ, buy talent intelligence, and we are not a substitute. If your problem is that specialist roles sit open because the people who could fill them are never contacted, buy execution — the finding, the reaching, the screening and the interviewing done rather than recommended, with the evidence attached to every name. That is the whole of what we do.
Common questions
Should I choose Eightfold or an AI recruiter like EmployLabs?
It depends which problem is stopping you. If roles are filled externally that existing employees could do, that is a talent intelligence problem and Eightfold's ground. If candidates are identified and then never contacted because nobody has the hours, that is an execution problem and EmployLabs solves it.
Eightfold has a candidate agent and an AI interviewer now. Does that cover outbound recruiting?
Not as published. Its candidate agent is hosted by the employer and carries a thread with people who reach the career site, and the AI interviewer assesses candidates who have entered the process. Outbound sequencing to a matched candidate who has not applied is not among the products the company markets; that outreach is done by your recruiters or a separate CRM.
Is EmployLabs only for smaller companies?
No. The deciding factor is the problem, not headcount. A four-hundred-person company hiring twelve specialists a year and a fifteen-thousand-person company staffing a new division have the same execution problem.
Does EmployLabs do internal mobility?
No. EmployLabs has no view of your existing workforce, and internal mobility is not on its roadmap. That is genuinely Eightfold's strength, and it stops being the deciding factor for roles nobody internal can fill, which covers most specialist and leadership hiring.
How do Eightfold and EmployLabs approach bias-audit compliance?
Eightfold. Its matching model was audited independently under NYC Local Law 144 in March 2026 and the result published. EmployLabs builds its Local Law 144 and EU AI Act posture into the process: one rubric applied to every candidate, a person at the final gate, and an append-only record of every automated decision and human override.
Does EmployLabs integrate with Workday or an ATS?
Not with Workday. Eightfold has native integrations with Workday, SAP SuccessFactors, Oracle HCM, Greenhouse and Lever. EmployLabs has one live connector, Zwayam, which submits finalists with a generated CV into the client's portal; Greenhouse, Lever and Workday are not built, and finalists otherwise reach the hiring manager by share link.
How quickly can you tell whether an AI recruiter is working?
One role and one cycle. If the shortlist is not better than what your team produces, you know within a fortnight, and the candidates, scoring and market read remain yours either way.
Can you run a talent intelligence platform and an AI recruiter together?
Yes, and for a large organisation it is the sensible configuration. The workforce graph decides whether a role should be filled internally; when the answer is no, the brief goes to the execution layer and finalists come back with their evidence on a share link.