Maki People is a strong choice for European employers that want broad assessments, EU data residency, enterprise support, and public bias-audit evidence. Consider an alternative when you need public self-service pricing, specialist coding tests, or interview evidence about role fit and motivation. Assessment and interview screening solve different problems; many teams need both.

Maki People alternatives: start with the reason to change

A useful Maki People alternative is not simply another vendor with a longer feature list. It should solve the specific problem that caused you to reconsider Maki. That might be procurement friction, a specialist technical role, candidate drop-off, or a missing type of evidence. If you cannot name that problem, switching platforms will probably create migration work without improving hiring decisions.

Maki deserves a fair starting point. As of August 2026, its platform covers skills screening, deeper cognitive, behavioural and technical assessments, and conversational web or phone interviews. The vendor says pricing is based on candidate interactions rather than recruiter licences. It also offers EU data residency by default, a DPA, sandbox environments and more than 30 ATS and HR integrations. Those are meaningful advantages for an enterprise buyer.

The key distinction is therefore not “modern AI versus old tests.” It is the decision you need to make. A structured assessment mainly asks: Can this person demonstrate the required capability? Interview screening asks: Does the person fit this particular role, and do they actually want it under the real conditions? One does not invalidate the other.

What Maki People does particularly well

Maki has one of the clearest European compliance positions in this category. Its security and fairness page names Holistic AI as the independent auditor for its Mochi and Shiro products under New York City Local Law 144 and links to public results and signed reports. The audits were completed in March 2026. Maki also states that it does not automatically reject candidates and that adverse decisions require human review.

That is better evidence than a generic “bias-free AI” badge. It gives procurement and legal teams a named auditor, a date, a methodology context and an identifiable product scope. The scope still matters: an audit of specified systems is not a universal certificate for every assessment, customer configuration, language or future model version. Buyers should read the report, map it to their intended use and ask what ongoing monitoring applies to their own population.

Maki also suits teams that want multiple assessment formats in one enterprise relationship. Its public materials describe cognitive, behavioural and technical assessments, skills screening and conversational interviews. This breadth can reduce vendor sprawl. Guided onboarding, a dedicated Customer Success Manager and integration workshops will appeal to multinational organisations that value implementation support more than a five-minute self-service signup.

In short, staying with Maki is a rational decision when audit evidence, European hosting, a broad assessment library and enterprise rollout support are the buying priorities. An alternative should win on a different requirement, not on vague claims of being “more innovative.”

The decision table: which alternative for which change reason?

Change reason 1: you need transparent pricing before a sales process

Maki does not publish a list price. Its pricing page, checked in August 2026, describes flexible, credit-based usage pricing and asks buyers to request a personalised quote. It does not state a minimum contract value, included interaction volume, credit price, overage rate or contract duration. That is not automatically a weakness: complex enterprise rollouts often need tailored implementation and data terms. It does make early budget comparison harder.

If price visibility is the main change reason, TestGorilla is an obvious benchmark. Its public pricing page, checked in August 2026, lists a free tier, Core at $142 per month with a $1,704 annual commitment, and Plus starting at $400 per month with an annual commitment starting at $4,800. Usage depends on credits and the chosen tools. This is useful for creating a budget before speaking to sales, but a public headline is not the same as a lower total cost.

Compare both on one volume model. Include incomplete attempts, retakes, multilingual content, ATS access, implementation, additional environments, support and renewal increases. Ask Maki for a written quote with:

• contract term, renewal mechanism and minimum annual commitment;
• credits included and the exact event that consumes a credit;
• overage price, expiry rules and treatment of candidate drop-off;
• fees for integrations, sandbox use, onboarding and additional languages;
• data export, deletion assistance and exit support.

Choose the public-price alternative when fast approval and predictable small-volume spend matter most. Choose Maki when the negotiated package and enterprise controls justify the procurement cycle. Do not estimate Maki's price from review sites or old quotes.

Change reason 2: your assessment must reproduce technical work

A broad assessment library can cover coding, reasoning and job knowledge. It may still be less suitable than a specialist environment when software development is the core job. Engineering teams often need multi-file projects, realistic runtimes, language-specific tasks, code playback, plagiarism evidence and a live technical interview environment. Those requirements should lead the shortlist, not the number of general tests.

For this change reason, pilot Maki against specialist products such as Codility or HackerRank. Give each platform the same two roles and ask senior engineers to review task realism before candidates see anything. Measure false positives: candidates who score well but cannot explain or extend their solution. Also measure false negatives and candidate withdrawal. Aggressive proctoring can protect test integrity while damaging completion and trust.

This is one area where a specialist may be the better purchase. Conversely, if only ten percent of your hiring is technical and the rest spans service, operations and leadership, adding a coding platform may create a second contract for a narrow gain. Keep the specialist tool limited to the roles that genuinely need it.

Change reason 3: you need to understand fit and intent

An assessment is strongest when the target construct can be defined and demonstrated consistently: numerical reasoning, language proficiency, coding, job knowledge or a behavioural response to a standard scenario. It is less complete when the hiring question depends on the candidate's own context. Availability for shifts, willingness to travel, motivation for this team, expectations of the role and reasons for changing jobs emerge through a conversation.

This is where structured AI interview screening belongs. It should follow a consistent guide, ask role-specific questions and preserve answer evidence for human review. A practical overview of the format is available in this guide to voice, video and phone screening. For teams considering this route, Sprad is one option because its interview screening is built around the second question: whether a candidate fits a particular vacancy and wants it. That is different from proving ability in an assessment.

Do not turn the distinction into a false choice. Maki now offers its own conversational web and phone module, so buyers should include it in the same pilot. Compare the actual interview guide, follow-up behaviour, transcript, scorecard evidence, accommodations and recruiter handoff. A product label such as “AI interview” says little about the depth or defensibility of the output.

The strongest workflow can combine both methods:

1. Use objective knockout questions for non-negotiable conditions.
2. Use a short structured interview to establish motivation, practical fit and role understanding.
3. Use a validated assessment where a capability genuinely needs to be demonstrated.
4. Let a trained human review the evidence and make the decision.

This sequence is not universal. High-volume frontline hiring may put the interview first because attendance, shifts and location decide viability. Graduate or specialist hiring may assess first. The right order minimises candidate effort before asking for a long test.

Compliance in Europe: documents are necessary, operating practice decides

For DACH and European hiring, “GDPR compliant” is only the beginning. Recruitment AI can affect access to employment, so buyers need a documented purpose, legal basis, retention policy, access controls, human oversight, candidate information and a process for accommodations and challenges. Works councils and data-protection teams may require involvement before rollout. This guide explains what is allowed for AI candidate interviews in the EU in practical terms.

The European Commission's AI Act overview, current in August 2026, classifies employment AI such as recruitment evaluation as a high-risk area. Following the 2026 AI Omnibus, the specific Annex III high-risk rules apply from 2 December 2027. Transparency obligations and other provisions may apply earlier. This transition period is preparation time, not permission to postpone governance.

Maki's EU hosting and independent audit are valuable procurement evidence, but they do not transfer the employer's responsibility to the vendor. Your configuration, decision threshold, candidate notice, human review and monitoring remain part of the real system. The same is true for every alternative. A useful vendor review asks:

• Which exact product and model version did the audit cover?
• Which demographic groups, languages and sample types were included?
• Can recruiters see the evidence behind each score?
• Can candidates request an alternative format without disadvantage?
• What changes trigger revalidation or a new impact review?
• Can the system reject automatically, and how is human authority enforced?

For a deeper evaluation, use a structured review of bias and fairness in AI interviews. The important question is not whether a vendor promises neutrality. It is whether you can inspect the evidence, understand limitations and detect adverse outcomes after deployment.

How to run a fair Maki People alternative pilot

A polished demo rewards the best presenter. A controlled pilot rewards the best workflow. Select one real role with enough applicants and define the decision before inviting vendors. Use the same job requirements, knockout rules, candidate communications and review team.

For 30 to 50 consenting candidates, compare:

• completion and withdrawal rates by stage;
• median candidate time and recruiter review time;
• agreement between tool scores and trained human ratings;
• quality of evidence available for borderline decisions;
• candidate questions, accommodation requests and complaints;
• shortlist quality after the Hiring Manager interview;
• cost per completed, reviewable candidate rather than per invitation.

Do not use eventual hires alone as proof of predictive accuracy. The sample is too selected and too small. Review score distributions and disagreements, and document why humans override recommendations. A structured interview checklist helps keep the human stage comparable. If you add voice screening, test the voice interview workflow with the same scorecard and ATS destination.

At the end, choose by change reason. If Maki performs well and the only objection was an assumed limitation that its current platform has already closed, staying avoids unnecessary migration. If a specialist clearly improves evidence for the target role, use it there. If no product produces reviewable evidence, redesign the process before buying any of them.

Who should choose Maki, and who should keep looking?

Choose Maki when

• European data residency and a named independent bias audit are central procurement requirements;
• you want skills, behavioural and technical assessment plus conversational screening in one enterprise relationship;
• you value guided rollout, sandbox environments and broad HR integration support;
• custom usage pricing is acceptable and you can validate the contract economics.

Keep evaluating alternatives when

• you need a published price and self-service pilot before procurement;
• technical hiring requires a specialist coding environment;
• your main bottleneck is conversational evidence about motivation and practical role fit;
• you need a product, language or audit scope not covered by the documents you reviewed.

Frequently asked questions

What is the best Maki People alternative?

There is no single best replacement. TestGorilla is a useful benchmark for public entry pricing and broad skills tests. Coding specialists belong on the shortlist for engineering-heavy hiring. Structured conversational screening belongs there when motivation and role fit are the missing evidence. Keep Maki if its compliance package and breadth match the actual need.

Does Maki People publish its pricing?

No public list price was available in August 2026. Maki describes a flexible credit model based on candidate interactions, not licences, and asks buyers to request a personalised quote. The public page does not state contract duration, minimum spend or per-credit rates, so request all three in writing.

Has Maki People completed an independent bias audit?

Yes. Maki links public Holistic AI results for Mochi and Shiro under New York City Local Law 144, dated March 2026. Treat that as meaningful evidence for the audited scope, not as proof that every module, language, configuration and customer deployment has identical outcomes.

Can an assessment replace an interview?

Usually not. An assessment can show whether a candidate demonstrates defined capabilities under standard conditions. A structured interview can explore motivation, role understanding, constraints and evidence from prior situations. Combine them when both questions matter, and keep a human accountable for the final decision.

Is Maki People suitable for employers in Germany and the EU?

Maki explicitly offers EU data residency and GDPR-oriented controls, so it is a credible DACH shortlist candidate. Suitability still depends on your legal basis, candidate notice, works-council process, retention settings, human oversight, accessibility needs and the exact product scope. Review these points with qualified internal or external counsel.