Tengai

Name: Tengai
Brand: Tengai

Automatic shortlists and candidate screening for recruitment. Speed up hiring - get top candidates in half the time.

Est 2019|Valuation $10.6M|Raised $6M

LinkedIn 3K|Web traffic 5K|FTEs 10|HQ Stockholm, Stockholm County, SE

MarketsInterviewing & Assessment

Published Sep 26, 2026

01Common complaints

The buyer requires broad, independently validated reviews before buying. Tengai’s footprint on major review platforms was minimal at the time of this research (for example, zero G2 reviews), increasing the need for reference checks.
The buyer requires explicit public security certifications (SOC 2 Type II / ISO 27001) to proceed with procurement. Tengai’s public materials reviewed did not clearly publish these certifications.
The organization’s hiring process depends on nuanced human judgment in the initial conversation. For roles where early relationship-building or deep domain probing is critical, a structured AI-led interview may be constraining.
The buyer wants transparent, self-serve pricing and immediate rollout. Tengai appears to be sales-led and quote-based; many lightweight asynchronous video tools provide quicker time-to-value.
The organization cannot support change management required to adopt automated screening. Rolling out automated screening can create internal resistance among recruiting teams and external perception risks with candidates.

Sources (evidence for limited review footprint and non-transparent pricing):

1) The buyer requires broad, independently validated reviews before buying. Tengai’s footprint on major review platforms was minimal at the time of this research (for example, zero G2 reviews), increasing the need for reference checks. 2) The buyer requires explicit public security certifications (SOC 2 Type II / ISO 27001) to proceed with procurement. Tengai’s public materials reviewed did not clearly publish these certifications. 3) The organization’s hiring process depends on nuanced human judgment in the initial conversation. For roles where early relationship-building or deep domain probing is critical, a structured AI-led interview may be constraining. 4) The buyer wants transparent, self-serve pricing and immediate rollout. Tengai appears to be sales-led and quote-based; many lightweight asynchronous video tools provide quicker time-to-value. 5) The organization cannot support change management required to adopt automated screening. Rolling out automated screening can create internal resistance among recruiting teams and external perception risks with candidates. Sources (evidence for limited review footprint and non-transparent pricing): - https://www.g2.com/products/tengai/reviews - https://tengai.io/

Deal disqualifiers (poor fit)

Very low hiring volume where tool overhead may exceed ROI.
Roles requiring highly personalized, white-glove first interactions.
Organizations that require published SOC 2 / ISO evidence before piloting a vendor.

Limitations acknowledged or implied by vendor materials

Effectiveness depends on structured question design and consistent process adoption.
The company previously used a physical robot interface and migrated to a digital avatar, indicating adaptation to user feedback but also that earlier form factors were not broadly acceptable.

Source:

https://tengai.io/our-story/

- Effectiveness depends on structured question design and consistent process adoption. - The company previously used a physical robot interface and migrated to a digital avatar, indicating adaptation to user feedback but also that earlier form factors were not broadly acceptable. Source: - https://tengai.io/our-story/

Roadmap / future features

No detailed public roadmap (dates or feature milestones) was found in the reviewed sources.

Scale limits

No explicit concurrency, throughput, or SLA (service-level agreement) data were found in the reviewed sources.

Security / compliance gaps (publicly documented)

No public SOC 2 / ISO 27001 certification list was found in the reviewed sources.
No public data residency or hosting region detail was found in the reviewed sources.

Source:

https://tengai.io/privacy/

02Why they buy

Differentiators (observed/claimed)

Avatar-based conversational interview delivery (vendor positions this as more interactive than form-based or text-only screening).
Structured interview consistency (same questions in the same order), which may improve comparability across candidates when implemented correctly.
Big Five psychometrics framing and a published validation study (the study should be reviewed by independent experts for methodology and applicability).

Sources:

- Avatar-based conversational interview delivery (vendor positions this as more interactive than form-based or text-only screening). - Structured interview consistency (same questions in the same order), which may improve comparability across candidates when implemented correctly. - Big Five psychometrics framing and a published validation study (the study should be reviewed by independent experts for methodology and applicability). Sources: - https://tengai.io/ - https://tengai.io/blog/how-tengais-ai-enhances-the-candidates-experience - https://tengai.io/hubfs/Psychometrics%20study.pdf

Where competitors may have clearer advantages

Security and compliance signaling: Some competitors publish security certifications and compliance details (for example, HireVue references SOC 2 Type II and ISO 27001). These public signals can materially reduce time spent on security review in procurement processes.

Source:

https://www.hirevue.com/pricing

- Security and compliance signaling: Some competitors publish security certifications and compliance details (for example, HireVue references SOC 2 Type II and ISO 27001). These public signals can materially reduce time spent on security review in procurement processes. Source: - https://www.hirevue.com/pricing

03Field reports

Review-platform coverage (G2, TrustRadius, Gartner Peer Insights)

G2: Tengai had no reviews on G2 at the time of data collection, and the platform indicated insufficient review volume to provide buyer insights.
TrustRadius: No Tengai page located in the accessible sources during this research run.
Gartner Peer Insights: No accessible review content for Tengai was retrieved in this research run; the product may not be listed or access may be restricted.

Source:

G2 product page / public review platform

- G2: Tengai had no reviews on G2 at the time of data collection, and the platform indicated insufficient review volume to provide buyer insights. - TrustRadius: No Tengai page located in the accessible sources during this research run. - Gartner Peer Insights: No accessible review content for Tengai was retrieved in this research run; the product may not be listed or access may be restricted. Source: - G2 product page / public review platform

Reviews found on nonstandard platforms (credibility caveat)

A third-party review aggregator listed a small number of reviews for a related domain with uniformly positive wording. These entries are not clearly tied to verified enterprise buyers and should be weighted cautiously.

Source:

Independent review aggregator / third-party review site

Vendor testimonials (summarized)

Examples of testimonial themes (paraphrased):

An employer reported that automating the screening phase allowed scaling of hiring processes while maintaining attention to diversity and candidate inclusion.
A banking customer said that using Tengai helped ensure a consistent and personalized experience for candidates.

Caveat: These are marketing testimonials; they emphasize benefits and do not provide comparative procurement feedback, implementation detail, or independent verification.

Source:

Official vendor website / product overview and feature pages

Tengai’s website shows named testimonials and customer logos from organizations such as SEB, DNB Bank, several Swedish municipalities, Pophouse Entertainment, and TNG. The testimonials are promotional in tone and emphasize outcomes such as increased scale, diversity focus, and positive candidate experience. These are vendor-provided statements and generally omit implementation details, baseline metrics, and potential drawbacks. Examples of testimonial themes (paraphrased): - An employer reported that automating the screening phase allowed scaling of hiring processes while maintaining attention to diversity and candidate inclusion. - A banking customer said that using Tengai helped ensure a consistent and personalized experience for candidates. Caveat: These are marketing testimonials; they emphasize benefits and do not provide comparative procurement feedback, implementation detail, or independent verification. Source: - Official vendor website / product overview and feature pages

Community discussions (Reddit, Hacker News)

This research did not locate substantive Reddit or Hacker News threads specifically discussing Tengai as a recruiting product. Searches often returned unrelated results using the same name.

Conclusion: Community feedback in major English-speaking tech forums was sparse, which limits independent validation of buyer sentiment.

(Attempted sources: searches of Reddit and Hacker News returned mostly irrelevant results.)

Balanced view: what can and cannot be concluded

Sufficient vendor material exists to document product positioning and workflow.
Credible third-party review volume was insufficient to derive high-confidence summaries of common customer complaints.
Buyer due diligence should include reference calls with current customers (preferably using similar ATS configurations and hiring volumes) and requests for security/compliance documentation.

Vendor “success story” signals (examples)

Vendor-claimed outcome metrics (presented without detailed methodology):

Vendor-published examples claim substantial improvements in metrics; these are presented without baseline definitions, sample sizes, or time periods.

Critical evaluation:

Such KPIs are context-dependent and require written case studies that disclose definitions, sample sizes, and measurement methods.
Buyers should request case studies that include before/after volumes, definitions of time-to-fill, cost-accounting methods, adverse impact monitoring, and candidate drop-off rates.

Sources:

Official vendor product and customer/hiring-manager pages
Official vendor homepage and marketing materials

Tengai’s website highlights customer logos, brief quotes, and at least one named success story (for example, an engagement with a banking customer). The accessible materials are marketing-oriented and do not provide detailed methods for ROI claims. Vendor-claimed outcome metrics (presented without detailed methodology): - Vendor-published examples claim substantial improvements in metrics; these are presented without baseline definitions, sample sizes, or time periods. Critical evaluation: - Such KPIs are context-dependent and require written case studies that disclose definitions, sample sizes, and measurement methods. - Buyers should request case studies that include before/after volumes, definitions of time-to-fill, cost-accounting methods, adverse impact monitoring, and candidate drop-off rates. Sources: - Official vendor product and customer/hiring-manager pages - Official vendor homepage and marketing materials

Independent/public-sector mention (not a KPI case study)

Media coverage of early physical-robot prototypes and municipal pilots (e.g., in Sweden) exists and can provide context, but does not supply standardized ROI data.

Sources:

Media feature articles and industry forum coverage
Media feature articles on municipal pilot programs

04Best fit

Best-fit company sizes

Based on product design and sales signals, the following are the most likely fits:

Mid-market to enterprise organizations or public-sector entities with recurring hiring volume.
Staffing and recruiting agencies that can amortize configuration across many requisitions.

Third-party databases vary on vendor headcount estimates; vendor size is distinct from the customer profile.

Sources:

Official vendor website and product materials
Third-party company database/profile

Based on product design and sales signals, the following are the most likely fits: - Mid-market to enterprise organizations or public-sector entities with recurring hiring volume. - Staffing and recruiting agencies that can amortize configuration across many requisitions. Third-party databases vary on vendor headcount estimates; vendor size is distinct from the customer profile. Sources: - Official vendor website and product materials - Third-party company database/profile

Industries / verticals

Most plausible fits based on documented references and early use cases:

Public sector / municipalities (documented early usage in Sweden)
Banking and finance (vendor testimonials cite financial services customers)
High-volume operational roles (customer support, operations)
Staffing and recruitment agencies

Sources:

Vendor testimonials and product pages
Industry press coverage of municipal use cases

Roles / personas

Economic buyer: Head of Talent Acquisition, HR Director, CHRO, Head of People Ops
Champions: Talent acquisition operations, recruiting enablement, diversity and inclusion leads
End users: Recruiters, hiring managers
Influencers: Legal, data protection officer (GDPR), works councils (where relevant)

Qualification criteria (good fit)

High applicant volume per role.
Willingness to standardize interviews and adopt structured hiring processes.
Organizational focus on defensible hiring and fairness practices.
ATS maturity and capacity to support integration.

05The pitch

What the product does (objective core value proposition)

Key functional pillars described by the vendor include:

Structured AI-led interview (same questions in same order) to increase consistency.
Qualification questions defined by recruiters (yes/no + open text), auto-scored into a shortlist.
Personality / behavior components framed around the Big Five / Five-Factor Model (vendor-published claims of validation and correlation to performance).
ATS integration positioning (vendor claims integration with applicant tracking system platforms).

Sources: Official vendor product pages and vendor help center documentation.

Tengai is an automated candidate screening and early-stage interview product that uses a conversational AI avatar to run structured interviews, then outputs a ranked shortlist and structured competency data intended to be more comparable (and less affected by interviewer-to-candidate variability) than traditional first-round screening. The vendor positions the product to replace or automate CV screening, phone screens, and parts of first-round selection. Key functional pillars described by the vendor include: - Structured AI-led interview (same questions in same order) to increase consistency. - Qualification questions defined by recruiters (yes/no + open text), auto-scored into a shortlist. - Personality / behavior components framed around the Big Five / Five-Factor Model (vendor-published claims of validation and correlation to performance). - ATS integration positioning (vendor claims integration with applicant tracking system platforms). Sources: Official vendor product pages and vendor help center documentation.

Target market and positioning

Tengai targets recruiters and hiring managers who:

Run high-volume recruiting or have many applicants per role.
Seek to standardize screening and expect potential improvements in fairness or bias mitigation.
Want structured candidate data (including personality/behavioral signals) early in the funnel.

The vendor markets to both “high-volume hiring and specialist roles.” The strongest fit appears to be high-volume contexts where the return on investment for automation is easier to justify.

Source: Vendor marketing and product pages.

Tengai targets recruiters and hiring managers who: - Run high-volume recruiting or have many applicants per role. - Seek to standardize screening and expect potential improvements in fairness or bias mitigation. - Want structured candidate data (including personality/behavioral signals) early in the funnel. The vendor markets to both “high-volume hiring and specialist roles.” The strongest fit appears to be high-volume contexts where the return on investment for automation is easier to justify. Source: Vendor marketing and product pages.

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