Recruitment
22min read

Maki People Pricing and Alternatives (2026)

Maki People's enterprise AI interview and assessment pricing is custom. See what it really costs in 2026 and the best alternatives for automated candidate screening.

Maki People Pricing and Alternatives (2026)

The Practical Guide to Maki People Pricing, Real Costs, and the Best Alternatives in 2026

Maki raised a $28.6 million Series A in January 2025 led by Blossom Capital with DST Global, on the back of 300%+ growth in 2024 and a customer list that reads like a Fortune 500 roll call: H&M, BNP Paribas, PwC, Deloitte, FIFA, Volkswagen and Louis Vuitton. That is real enterprise traction for a Paris startup founded in 2021 - FinSMEs. But when you open the Maki pricing page to find out what its conversational AI hiring agents actually cost, you get nothing: no plans, no numbers, only a "flexible, credit-based model" and a button that says "Get a personalized quote" - Maki People Pricing.

That wall is the reason this guide exists. Maki sells AI agents that screen, assess, interview and score candidates at high volume, and it charges for candidate interactions rather than seats. The problem is that a talent leader cannot tell whether that model costs $30,000 or $150,000 a year without booking a sales call, and independent reviewers confirm the opacity is a genuine friction point that every buyer runs into - Xobin. For a large enterprise hiring thousands of frontline workers, the math may work out beautifully. For a mid-market team that just wants a modern AI interviewer, the demo gate is a real barrier.

This guide breaks down what Maki actually is, everything that is known about its credit-based pricing model, where the product genuinely wins, and the six strongest alternatives in 2026 ranging from transparent per-interview tools to enterprise incumbents. Every price is sourced, every claim is linked, and the alternatives are ranked on merit rather than marketing.

Written by Yuma Heymans (@yumahey), who built HeroHunt.ai and has spent since 2021 building AI recruiting systems and watching the conversational-AI hiring category form. He writes about AI interviewers from inside the industry, not from a vendor brochure.

Contents

  1. What Maki Actually Is
  2. Maki Pricing: What It Really Costs in 2026
  3. Where Maki Wins and Where It Falls Short
  4. The 6 Best Maki Alternatives in 2026
  5. Full Comparison: Pricing and Transparency
  6. How to Choose the Right Alternative
  7. The Bottom Line

1. What Maki Actually Is

Maki (branded "Maki People," product at makipeople.com) is an enterprise conversational-AI hiring platform that automates screening, assessment, interviewing and scoring through a set of named AI agents. It started life as a science-backed skills-assessment library, more than 150 validated tests covering cognitive ability, personality, situational judgment and job-specific skills, and has since wrapped that library in autonomous agents that run the top of the funnel end to end - Maki People. The pitch to a Chief People Officer is simple: instead of stitching together an assessment vendor, a video-interview tool and a scheduling app, one platform reads every applicant, runs the interview, scores against the role, and hands recruiters a ranked shortlist.

The agents are the product's real organizing idea, and each one owns a stage of the funnel. Mochi is the AI voice interviewer that runs conversational screening calls in more than 45 languages, Ken handles deep assessment such as coding and problem-solving evaluation, and Tomo is a live interview co-pilot that turns a human interview into structured, comparable evidence rather than freehand notes - Bryq. Maki positions all of this for high-volume enterprise hiring, where a single req can attract thousands of applicants and no human team can screen them fairly or quickly. That is why its reference customers are retailers, banks and outsourcers rather than ten-person startups.

To see why enterprises take the voice agent seriously, it helps to watch it run a live candidate call rather than read a feature list. Mochi conducts the conversation, adapts follow-up questions, and produces a scored transcript the recruiter reviews afterward.

Maki's Mochi AI voice interviewer in a live screening call

Animated demo of Mochi, Maki's AI voice interviewer, running a candidate screening call with a live transcript and scoring panel
Source: Maki People (makipeople.com), 2026

It helps to know where Maki sits in its own lifecycle, because the context explains both the momentum and the rough edges. The company was founded in 2021 by Maxime Legardez, Paul-Louis Caylar and Benjamin Chino, took a 6 million euro seed in 2021, and used its 2025 Series A to fund a US expansion and hire 50 to 60 new employees, reaching roughly 122 employees by early 2026 - Silicon Canals. It claims 100+ enterprise customers and deployment across 50+ markets, with self-reported outcomes such as 80% automation of screening and interviewing and a 3x faster time-to-hire - Business Wire. Those numbers come from Maki or from Maki-hosted case studies rather than independent audits, so read them as vendor claims. The most concrete usage anecdote comes from Foundever, the customer-service outsourcer, which reportedly recruits up to 2,000 reps over a single weekend using Maki assessments, described on the Josh Bersin podcast - Josh Bersin.

None of that makes the pricing opacity acceptable, but it does explain the shape of the company: a fast-moving, well-funded startup that would rather scope a custom enterprise deal than post a number a rival could undercut. The important thing for a buyer is that Maki is an inbound assessment and interview engine, not a sourcing tool. It makes the applicants you already have easier to evaluate, which is a genuinely different job from finding candidates in the first place, and that distinction matters a lot when we reach the alternatives.

2. Maki Pricing: What It Really Costs in 2026

Maki publishes no prices at all. Its pricing page states only a "flexible, credit-based model" where you pay per candidate interaction rather than per license, priced by which AI agents you activate, and every path ends at "Contact sales." That is confirmed by three independent reviewers, none of whom could extract a starting figure - Capterra. There is no free tier, no self-serve plan, and no published entry point, which puts Maki at the most opaque end of the entire AI-hiring market.

The model underneath the demo wall is worth understanding even without dollar figures, because the mechanics tell you how the cost will behave. Maki charges for candidate interactions, meaning your bill scales with hiring volume rather than headcount, and it charges per agent activated, so a team using only Mochi for voice screening pays differently from one running Mochi, Ken and Tomo together - Xobin. The practical consequence is that costs spike during seasonal hiring peaks, a limitation reviewers flag directly, because a retailer ramping for the holidays runs far more interactions in Q4 than in Q2 and pays accordingly - Bryq.

Because Maki refuses to state a number, the honest thing to do is show the model rather than invent a price. The table below captures what is confirmed about the structure, with the exact credit rate and contract minimum marked as not disclosed.

Element What Maki confirms Public figure?
Pricing model Credit-based, pay per candidate interaction Yes (model only)
Billing unit Per AI agent activated (Mochi, Ken, Tomo, Shiro) Yes (model only)
Entry price None published Not disclosed
Credit rate Consumed per interaction Not disclosed
Contract minimum Custom, enterprise-scoped Not disclosed
Free tier / trial None advertised No

The one thing everyone wants, a real annual number, does not exist in any credible public source for Maki specifically, so treat any exact figure you see quoted as invented. What can be said responsibly is that Maki's positioning places it in the same enterprise band as its closest peers. Given its Fortune 500 customer base and the credit-per-interaction model, industry watchers put it alongside HireVue and Harver in the $30,000 to $100,000+ per year enterprise range, but this is inferred by category, not sourced from Maki, and should be labeled an estimate whenever you use it - Bryq. A mid-market talent team should assume that a Maki contract is a five-figure annual commitment scoped to their volume, and that they will not learn the real figure until a discovery call.

To put that opacity in context, it helps to see where the transparent players in this market actually start. The chart below shows the published entry price per month for the alternatives that disclose one, converted to a monthly figure where a vendor quotes annually. Maki and Apriora are absent from the bars for the honest reason that neither publishes a number to plot.

Published Entry Price per Month, AI Interview and Assessment Tools (2026)

The chart makes the strategic split obvious. There is a transparent, accessible band where Sapia's roughly $1-per-interview starter, HeroHunt's $107 per month, and Ribbon's $499 per month all sit under $500, and there is an enterprise band where Harver's roughly $5,000 annual entry and HireVue's roughly $35,000 average contract live. Maki does not appear on this chart because it will not tell you, and that is precisely the point: it competes in the enterprise band on capability but hides the number the way the incumbents do. If price transparency is a hard requirement for your procurement process, Maki fails the test before the demo even starts, and several tools below pass it comfortably.

3. Where Maki Wins and Where It Falls Short

Maki's strongest card is candidate experience, and its weakest is transparency. Reviewers consistently single out the conversational, almost game-like assessment UI as best-in-class, and Maki reports an 8.7/10 candidate satisfaction score alongside a 92% assessment completion rate, which for a high-volume employer means fewer abandoned applications and a better employer brand - G2. On G2 the product carries a 4.7 out of 5 rating across roughly 115 to 131 reviews, with ease of use and setup both scoring around 9.6/10, so the polish is not just marketing. For an enterprise drowning in applicants, an agent that screens fairly and leaves candidates feeling respected is a genuine advantage.

The time savings are the second real win, and they are what justify the enterprise price when the volume is there. Maki customers cite up to 90% time saved on screening and around 50% reductions in time-to-hire, and the self-reported H&M case study claims 59,100 CV-screening hours saved and 43% shorter time-to-hire - Maki People. The bias-mitigation and anti-fraud tooling, which flags tab-switching and window exits during assessments, also clears compliance and integrity checkboxes that matter to regulated employers. When a company is hiring at Foundever's scale, these are not nice-to-haves but the entire reason the platform earns its keep.

The payoff of that automation shows up in the output the recruiter finally sees. Rather than a raw list of applicants, Maki surfaces a scored hire recommendation card that ranks each candidate against the role and explains the reasoning, so a human reviews AI decisions instead of triaging resumes from scratch.

Maki's scored hire recommendation view

Maki hire recommendation card showing a candidate score, fit rationale and ranking against the role criteria
Source: Maki People (makipeople.com), 2026

What the card shows in practice is Maki's core design philosophy: the recruiter is meant to audit a ranked, scored shortlist, not build one by hand. That is powerful when the model is well tuned to your roles and frustrating when it is not, which is exactly why the two-week pilot recommended later in this guide matters more than any aggregate rating. It is also the specific value Maki charges an enterprise premium to deliver, so it is the capability you should test hardest before signing.

The limitations cluster around cost predictability, technical polish and category fit. Beyond the opaque pricing already covered, reviewers report technical glitches where candidates get locked out of assessments, unreliable email notifications, and clunky applicant management that makes tracking candidates harder than it should be - joinnextdev. The credit-per-interaction model means costs are hard to forecast across a spiky hiring calendar. And Maki is a generalist, not a specialist: it lacks an embedded IDE and cannot observe how a candidate actually uses AI tools during a technical exercise, so deep engineering evaluation is not its strength. A third-party vendor scorer even gave Maki a low grade, which is evaluative rather than a traction metric but worth knowing before a demo.

There is also a category question worth being honest about, and it determines whether Maki is even the right kind of tool for you. Maki solves the inbound screening problem: too many applicants, not enough time to evaluate them fairly. If your actual bottleneck is the opposite, not enough qualified applicants in the first place, then a better AI interviewer does nothing for you and you need a sourcing engine instead. The six alternatives below span both problems and the full price spectrum, and each one beats Maki on at least one axis that might be the deciding factor for your team.

4. The 6 Best Maki Alternatives in 2026

The alternatives below are chosen because each solves a specific problem Maki leaves open, whether that is price transparency, technical-interview depth, high-volume conversational screening, or the entirely different job of filling the top of the funnel. They are ordered to move from the closest like-for-like AI interviewers toward the enterprise incumbents and finally the sourcing-side complement, so you can stop reading once you reach your budget and use case. Every entry lists what the tool does, real pricing where it is public, and who it is genuinely best for.

4.1 Sapia.ai: The Closest Conversational Twin

Sapia.ai is the nearest philosophical match to Maki: it markets itself as the "world's first AI Smart Interviewer" and runs structured, text-based chat interviews designed to be bias-free and scalable, which is the same conversational-assessment job Maki does with voice - Sapia.ai. The difference that matters to a buyer is transparency at the entry point. Where Maki publishes nothing, Sapia has a semi-public starter model that gives you a real figure to plan against before you ever talk to sales.

Sapia's pricing is more legible than Maki's without being fully published. Third-party and marketplace data put the Starter tier at roughly $1 per interview with a 100-interview monthly minimum, so about $100 a month to begin, while Growth and Enterprise are custom and land in the roughly $15,000 to $60,000 per year band for larger deployments - HeroHunt.ai. The text-first format is a genuine differentiator: it is fully accessible, works on any device without a webcam, and sidesteps the "AI voice cut me off" complaints that dog voice screeners. Sapia is best for high-volume employers who want structured, defensible interviews and value a low, usage-based entry point over Maki's demo-gated enterprise contract.

4.2 HireVue: The Enterprise Incumbent

HireVue is the legacy enterprise heavyweight and Maki's most direct competitor for large, complex deployments, combining AI and structured video interviewing with game-based and coding assessments at scale - HireVue. It is the incumbent that Maki is explicitly trying to displace, and for a global enterprise with adverse-impact testing requirements and deep ATS integrations, HireVue's maturity and compliance track record are real advantages that a five-year-old startup cannot fully match yet.

HireVue is as demo-gated as Maki, but third-party procurement data is far more available, so you can at least budget realistically. Vendr and other sources put the Essential tier around $35,000 per year, with Enterprise and Premium tiers running $50,000 to $100,000+ annually, plus implementation fees of $15,000 to $40,000 and typical two-to-three-year contracts - Pin. The average contract value across Vendr's data is about $49,855 per year. The reason to choose HireVue over Maki is scale and compliance depth for a truly global workforce; the reason to avoid it is the same heavyweight profile, which brings long implementations and contracts that are hard to exit. It is best for large enterprises that need a battle-tested, deeply integrated assessment suite and have the budget and timeline to deploy it.

4.3 Ribbon: The Transparent Mid-Market Pick

Ribbon is the antidote to Maki's opacity: an AI voice and video interviewer that is multilingual, ATS-integrated, and publishes its full pricing ladder on the website with no demo required - Ribbon. For a mid-market team that wants a modern conversational interviewer and refuses to enter a sales cycle blind, Ribbon is the most honest option in the category and the easiest to pilot on your own terms.

Ribbon's tiers are fully transparent and usage-based, which is exactly the clarity Maki withholds. Growth is $499 per month for 2 seats, 2 active roles and 100 interviews with $4.00-per-interview overage, Business is $999 per month for 5 seats, 5 roles and 400 interviews at $3.00 overage, and Scale is $1,999 per month for 10 seats, 10 roles and 1,000 interviews at $2.50 overage, with Enterprise custom for SSO, SOC 2 and a dedicated CSM - Ribbon. A 7-day free trial and pay-per-completed-interview billing mean you can validate quality before committing. Ribbon is best for SMB and mid-market teams that want a genuinely modern AI interviewer with published, predictable pricing rather than an enterprise negotiation.

4.4 Harver: High-Volume Frontline Assessment

Harver is the high-volume, frontline-hiring specialist, built for contact-center, retail, logistics and seasonal roles where an employer screens tens of thousands of hourly applicants - Harver. It overlaps heavily with Maki's enterprise, high-throughput use case, and its 450+ validated assessments include the well-known Pymetrics game-based evaluations, giving it scientific credibility comparable to Maki's assessment library. For an employer whose core problem is fair, fast screening of frontline workers at massive scale, Harver is a direct and proven alternative.

Harver is demo-gated like Maki, but its entry point is at least known. Capterra and industry sources cite a starting price around $5,000 as an annual entry point, quote-based and priced by the number of assessments, users and modules selected, with a free trial available - Capterra. Large, high-volume deployments run substantially higher, and the per-candidate rate is not disclosed. The reason to choose Harver over Maki is a deep, validated frontline-assessment library with a lower published floor; the reason to look elsewhere is that Harver is assessment-led rather than a conversational-agent platform, so it feels less like the modern AI-interviewer experience Maki sells. It is best for enterprises hiring frontline and hourly workers at volume who want scientific assessment depth over conversational polish.

4.5 Alex by Apriora: The Agentic AI Interviewer

Alex is the agentic AI recruiter from Apriora, a Y Combinator-backed startup that conducts autonomous live AI interviews, verifies responses, and matches candidates, competing directly with Maki's agent-driven approach - Apriora. Where Maki spreads work across several named agents, Apriora concentrates on the live interview itself, and it has raised roughly $20 million to push that agentic-interview vision, so it is a credible newer challenger rather than a fringe tool.

Apriora's pricing is as opaque as Maki's, which is the main knock against it for smaller buyers. It publishes no per-interview price and runs on annual contracts positioned for high-volume employers where, as one comparison puts it, a roughly $50,000 contract is "a rounding error" - InterviewFlow AI. One secondary source mentions a $30-per-month starter, but it is uncorroborated and almost certainly inaccurate, so treat the realistic figure as a custom enterprise deal on the order of $50,000 a year. The reason to consider Alex over Maki is a sharper focus on the autonomous live interview and strong G2 sentiment among users; the reason to hesitate is the identical demo-gate and enterprise-only posture. It is best for high-volume employers specifically sold on a single autonomous AI interviewer and comfortable with opaque annual pricing.

4.6 HeroHunt.ai: When the Real Problem Is the Top of the Funnel

HeroHunt.ai belongs on this list for the opposite reason to the others: it fixes the problem that a better AI interviewer cannot touch. Maki, Sapia, HireVue, Ribbon, Harver and Apriora all make your existing applicants easier to evaluate. HeroHunt fills the funnel in the first place, running an autonomous AI Recruiter that sources candidates from over 1 billion profiles, screens them against your criteria, and reaches out across LinkedIn, email and WhatsApp on autopilot - HeroHunt.ai. Its RecruitGPT feature turns a plain-language role description into a shortlist of engaged candidates, which is the exact capability an inbound assessment tool lacks.

The framing matters because many teams reach for an AI interviewer when their true bottleneck is upstream. If you are not getting enough qualified applicants, no amount of screening automation helps, and that is where HeroHunt is the better spend. It is also transparent and low-risk where Maki is neither: plans start at $107 per month with an 8-day free trial, using a position-slot and contact-credit model rather than per-interview metering, so there is no five-figure commitment to test it - HeroHunt.ai plans. With 15,000+ recruiters using it globally, it is a proven complement to, not a replacement for, an assessment agent. It is best for teams whose real problem is sourcing and outbound reach, or who want to automate the front of the funnel before investing in inbound screening.

Two further tools deserve a mention even though they fall just outside the core six. Paradox, whose conversational assistant "Olivia" dominates high-volume hourly hiring at chains like McDonald's and Chipotle, became a Workday company when the acquisition closed on October 1, 2025, and it remains a strong direct rival to Maki's conversational angle though its pricing is equally custom, estimated at roughly $25,000 to $150,000+ per year - Paradox. And TestGorilla is the transparent skills-assessment foil, with a free $0 tier and paid plans from roughly $1,620 per year, a useful contrast for teams that want validated assessments without Maki's enterprise opacity - TestGorilla. Neither is a perfect like-for-like, but both are worth a look depending on whether your priority is high-volume conversational screening or cheap, transparent testing.

5. Full Comparison: Pricing and Transparency

The table below distills Maki and its six closest alternatives into the dimensions that actually drive a buying decision: the entry price, whether that price is public, the core pricing model, and who each tool is genuinely best for. Use it as a shortlist filter, then read the individual sections above for the tools that survive your budget and use-case requirements. Estimated figures are marked, and every price traces to a source cited earlier in this guide, so confirm current numbers before purchasing.

Tool Entry Price Pricing Public? Model Best For
Maki Not disclosed (~$30k+/yr est.) No Credit per interaction, per agent Enterprise inbound screening
Sapia.ai ~$1/interview (100/mo min) Partial Per-interview + custom Bias-free high-volume interviews
HireVue ~$35,000/yr (est.) No Tiered enterprise + implementation Global enterprise assessment
Ribbon $499/mo Yes Per-interview tiers + overage Transparent mid-market AI interviewer
Harver ~$5,000/yr entry No Per-assessment / module Frontline volume assessment
Alex (Apriora) Not disclosed (~$50k/yr est.) No Enterprise annual Autonomous live AI interview
HeroHunt.ai $107/mo Yes Position slots + credits Sourcing and outbound reach

The pattern in the table is the real takeaway. Of the seven tools, only Ribbon and HeroHunt.ai publish a straightforward entry price, Sapia is partially public through its per-interview starter, and the remaining four, Maki, HireVue, Harver and Apriora, all require a sales call to learn what they cost. On the specific job of conversational AI interviewing, Ribbon delivers the closest experience to Maki with none of the opacity, while Sapia offers the lowest-risk way to start. The enterprise incumbents win on scale and compliance depth but ask you to negotiate blind, exactly the friction that sends buyers looking for alternatives in the first place.

One dimension the table cannot fully capture is total cost of ownership, and it is where the entry prices can mislead. A credit-per-interaction model like Maki's or Ribbon's means your real annual number is the entry fee plus every interaction over the included allotment, and for a spiky hiring calendar those overages dominate the bill. This is why a retailer running a holiday surge should model its Q4 interaction volume, not its average month, before signing anything on usage-based pricing. The tools that publish overage rates, Ribbon at $2.50 to $4.00 per interview depending on tier, let you do that math up front; Maki does not, which means a high-volume employer is committing to a variable cost it cannot fully forecast until the invoices arrive.

6. How to Choose the Right Alternative

Choosing among these tools comes down to three questions in order: is your bottleneck inbound screening or a lack of applicants, does price transparency matter to your procurement, and how high is your hiring volume. Answering them in sequence eliminates most of the list quickly, because these tools are genuinely differentiated rather than interchangeable. A team that assumes it needs a better interviewer when it actually needs more candidates will buy the wrong category entirely, so the first fork is the most important one. The decision tree below maps the common paths.

Choosing a Maki Alternative
A decision path by bottleneck, transparency, and volume

The tree encodes the logic most talent teams follow. The first and most consequential fork is the bottleneck: if you are not getting enough qualified applicants, the answer is HeroHunt.ai for sourcing and outbound reach, and no AI interviewer will solve the problem no matter how good it is. Only once you confirm the bottleneck is inbound screening does the interviewer question even apply. From there, if transparent pricing is non-negotiable, the choice narrows to Ribbon for a modern mid-market experience or Sapia.ai for a bias-free, low-entry per-interview model, both of which let you start without a sales gate.

If your organization can live with demo-gated enterprise pricing, the final split is about scale and shape. HireVue is the choice for a global incumbent with deep compliance and integration needs, Harver for frontline and hourly volume where validated assessment science matters most, and Alex by Apriora for a team specifically sold on a single autonomous live interviewer. Maki competes in this same enterprise band, so if you have reached this branch, Maki belongs on your shortlist alongside these three, and the deciding factor becomes candidate experience and language coverage, where Maki genuinely shines, versus the maturity and known cost data of HireVue.

Whatever the tree points you toward, run the same structured trial across your top two choices rather than committing on a demo alone. Pick one live, representative role, then measure three things over two weeks: how many candidates completed the assessment or interview, how the completion and satisfaction rates compared, and how many recruiter hours the tool actually saved against your manual baseline. Because Ribbon offers a 7-day trial, Sapia a low per-interview entry, and HeroHunt an 8-day free trial, you can pilot the transparent options in parallel with a paid enterprise demo and let real results, not the sales pitch, break the tie. This is also the only reliable way to test whether an AI interviewer's scoring is tuned to your roles, since model quality varies enormously by industry and seniority and no aggregate review score will tell you how it performs on your specific reqs.

7. The Bottom Line

Maki is a genuinely strong product wrapped in the most opaque pricing in its category. Its conversational agents, best-in-class candidate experience, 45+ language voice screening and validated assessment library are real, and for a Fortune 500 employer screening thousands of applicants they can absolutely earn a five-figure annual contract. The problem is that you cannot confirm any of that against a budget without a sales call, the credit-per-interaction model makes your true annual cost hard to forecast across a spiky hiring calendar, and several alternatives now match its core capability on far more transparent terms.

For most teams evaluating Maki in 2026, the smarter path is to first confirm what problem you are actually solving. If your bottleneck is a shortage of qualified applicants rather than too many, start with a sourcing engine like HeroHunt.ai and its autonomous AI Recruiter, because a better interviewer does nothing for an empty funnel. If your problem really is inbound screening and transparency matters, Ribbon delivers a modern conversational interviewer with published pricing, and Sapia.ai offers the lowest-risk entry point. Only if you need enterprise scale and can accept negotiating blind should Maki, HireVue, Harver and Apriora share your shortlist, and even then you should insist on the two numbers that determine real cost.

Those two numbers are the effective annual contract at your expected hiring volume and the overage rate per interaction beyond your included credits. Get both in writing before signing anything, because on a usage-based model like Maki's the overage rate, not the headline, is what your finance team ultimately pays. In a category moving this fast and pricing this quietly, the buyers who insist on transparency up front are the ones who avoid the five-figure surprise later.

This guide reflects the AI interviewing and assessment landscape as of July 2026. Pricing and features in this category change frequently, and several vendors here disclose no public price at all, so verify current details directly with each vendor before purchasing.