NeuroFrame
ML-powered game-based behavioral assessment platform for hiring, internal talent selection, and team analytics.
Website: https://neuroframe.ae/
Cover Block
Open sources
| Name | NeuroFrame |
| Tagline | ML-powered game-based behavioral assessment platform for hiring, internal talent selection, and team analytics. |
| Headquarters | Dubai, United Arab Emirates |
| Founded | 2024 |
| Stage | Pre-Seed |
| Business Model | SaaS |
| Industry | HR / Future of Work |
| Technology | AI / Machine Learning |
| Geography | Middle East / North Africa |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding Label | Pre-seed |
| Total Disclosed | $1,580,000 [PitchBook, retrieved 2026] |
Links
Open sources
- Website: https://neuroframe.ae/
- LinkedIn: https://www.linkedin.com/company/neuroframeap
Open sources NeuroFrame is a Dubai-based startup using a proprietary, game-based assessment to challenge the reliance on resumes and interviews in talent evaluation, a wedge into the established but evolving HR tech market. Founded in 2024, the company has built a platform where a 30-60 minute tower-defense game captures behavioral micro-signals, which machine learning models then map to eight validated competencies, scoring candidates against a benchmark of over 14,850 executives [NeuroFrame, retrieved 2026]. The founding group, led by CEO Maria Andrianova, combines backgrounds in neuroscience, machine learning, and HR technology, with the company claiming a wider team that includes five PhDs [NeuroFrame, retrieved 2026]. The company operates on a SaaS model and has disclosed a pre-seed round of $1.58 million [PitchBook, retrieved 2026]. Over the next 12-18 months, the key watch points are the validation of its scientific claims through independent third-party studies, the conversion of its reported discussions with industrial and energy sector clients into named, recurring revenue, and its ability to clearly differentiate from incumbents like Criteria in a crowded assessment landscape. Partially corroborated -- Core product and funding amount are confirmed by company and PitchBook; team composition and commercial traction are primarily self-reported.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Pre-Seed |
| Business Model | SaaS |
| Industry / Vertical | HR / Future of Work |
| Technology Type | AI / Machine Learning |
| Geography | Middle East / North Africa |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding | Pre-seed (~$1.58M) |
Inside the Company
Open sources
NeuroFrame was founded in 2024 and is headquartered in Dubai, United Arab Emirates [Crunchbase, retrieved 2026]. The company operates as a venture-scale SaaS business in the HR technology space, with a focus on behavioral assessment. Its founding story centers on a transition from traditional corporate and consulting backgrounds into entrepreneurship, with CEO Maria Andrianova moving from corporate roles in Russia to launch the startup in Dubai [Boomplay, April 2025].
The company's public milestones are product-centric. Following its founding, the first major development was the launch of its core assessment platform, a tower-defense game designed to capture behavioral data [NeuroFrame, retrieved 2026]. By late 2024, the company reported securing initial contracts with international companies in the industrial and energy sectors, though specific client names were not disclosed [Maria Andrianova, December 2024]. The most recent public development is the expansion of its platform positioning in 2026 to emphasize team analytics and high-potential assessment, alongside the publication of detailed scientific validation and competitor comparison materials on its website [NeuroFrame, retrieved 2026].
Partially corroborated -- Founding year and HQ confirmed by Crunchbase; milestone claims are sourced from the company and founder posts without independent verification.
Under the Hood
Reported and inferred
NeuroFrame’s core offering is a behavioral assessment delivered through a 30 to 60-minute tower-defense game, a format the company claims captures thousands of behavioral micro-signals during gameplay [NeuroFrame, retrieved 2026]. The platform then maps these observed actions to eight validated competencies, generating percentile scores benchmarked against a proprietary dataset of 14,850 executives and entrepreneurs [NeuroFrame, retrieved 2026]. This positions the product as an alternative to traditional CV screening and self-reported questionnaires, aiming to reduce bias by measuring performance in a simulated task environment.
The underlying technology is described as machine learning-powered, though the specific model architecture is not detailed publicly. The company states its scientific team, which includes five PhDs across relevant fields, developed and validated three core models: EST, EPT, and FFM [NeuroFrame, retrieved 2026] [Maria Andrianova, December 2024]. These models are the basis for the competency mapping. Application surfaces are built for HR teams and managers, with use cases extending from external hiring to internal talent identification, leadership development, and even venture fund assessment of startup teams [NeuroFrame, retrieved 2026].
A client case study cited on the company’s website illustrates the claimed commercial impact. For a deployment involving approximately 400 candidates, NeuroFrame reports saving the client $50,000 per training cycle by improving assessment accuracy [NeuroFrame, retrieved 2026]. The platform’s integration and deployment model is not specified, but the product is offered as a SaaS platform.
Partially corroborated -- Core product mechanics and claims are detailed on the company's own site. Model validation and commercial impact metrics are sourced from founder statements and unverified case studies.
Market Research
Open sources
The market for objective, scalable talent assessment is expanding as companies seek to move beyond resumes and subjective interviews, a shift accelerated by the rise of distributed work and the need for data-driven people decisions.
A formal third-party TAM, SAM, or SOM for game-based behavioral assessment is not publicly available. The broader talent assessment market provides a useful analog. According to a 2023 report by Grand View Research, the global pre-employment assessment market was valued at approximately $2.3 billion and is projected to grow at a compound annual rate of 7.5% through 2030 [Grand View Research, 2023]. This growth is driven by several identifiable tailwinds: the increasing volume of applications per role, a corporate focus on reducing hiring bias, and the need to evaluate soft skills and cognitive agility that are difficult to measure with traditional tests.
Key adjacent markets include the broader HR technology software sector, valued at over $30 billion [Gartner, 2023], and the corporate learning and development market, where assessments are used for internal mobility and leadership development. The primary substitute remains the incumbent method of resume screening and unstructured interviews, a multi-trillion-dollar global labor market inefficiency that assessment tools aim to address. Regulatory forces, particularly in the EU and North America, concerning algorithmic bias and data privacy (e.g., GDPR, proposed AI acts) are becoming material constraints, pushing vendors toward validated, explainable models.
| Metric | Value |
|---|---|
| Pre-Employment Assessment Market 2023 | 2.3 $B |
| Projected CAGR (2024-2030) | 7.5 % |
| HR Tech Software Market 2023 | 30 $B |
The sizing data, while for analogous markets, underscores the substantial addressable spend surrounding talent decisions. NeuroFrame's wedge targets a specific, high-value segment within this spending: the evaluation of executives, high-potential employees, and startup teams where the cost of a mis-hire is greatest.
Partially corroborated -- Market sizing is drawn from analogous, third-party industry reports; specific TAM for game-based assessment is not confirmed.
Competition and Substitutes
Reported and inferred NeuroFrame enters a crowded assessment market by attempting to replace traditional questionnaires with an observed-behavior game, a wedge that distances it from both legacy psychometric vendors and newer AI-driven interview platforms.
The competitive map breaks into three distinct segments. The first is the established psychometric incumbents, companies like Criteria (owner of the Cognify game-based test) and SHL, which offer deeply validated, enterprise-hardened assessments but often rely on more conventional test formats. The second segment includes AI-powered video and resume screening platforms, such as HireVue or Pymetrics, which also claim to reduce bias but through different modalities like facial coding or neuro-games. The third, and perhaps most direct, competitive pressure comes from adjacent substitutes: the internal HR team that prefers unstructured interviews and the consulting firms that provide bespoke assessment services at a high cost.
NeuroFrame's stated edge rests on two pillars: its proprietary behavioral dataset and its game format. The company claims a benchmark of 14,850 executives [NeuroFrame, retrieved 2026], which, if unique and continuously growing, could create a data moat for calibrating its eight competency models. The tower-defense game is designed to be more engaging than a questionnaire, potentially increasing candidate completion rates. However, this edge is perishable. The dataset's size, while a talking point, is not independently verified and is likely dwarfed by the decades of normative data held by incumbents. The game mechanic itself is not patent-protected in the available public record, making it replicable by better-funded competitors with larger R&D budgets.
The company is most exposed on two fronts. First, it lacks the enterprise sales footprint and brand trust of a Criteria or SHL, which have long-standing relationships with global Fortune 500 HR departments. Second, its scientific validation, while claimed, is not as publicly documented or cited in peer-reviewed literature as that of its established rivals, a critical vulnerability when selling to regulated industries or skeptical procurement teams. A specific advantage held by a competitor like Pymetrics is its focus on ethical AI and auditable algorithms, a narrative that has resonated with large, image-conscious employers [NeuroFrame, retrieved 2026].
The most plausible 18-month scenario hinges on adoption velocity in its initial verticals. If NeuroFrame can secure and publicly announce flagship customers in the industrial and energy sectors it references [Maria Andrianova, December 2024], it could establish a beachhead and justify a Series A to build out its sales team. The winner in this scenario would be NeuroFrame, if it proves that its game-based wedge drives materially higher candidate satisfaction and hiring manager buy-in than traditional tests. The loser would be the mid-tier questionnaire vendor, if enterprises begin to view game-based observation as a minimum table-stakes feature and shift budget away from static, self-reported assessments.
Partially corroborated -- Competitive positioning is described by the company; direct competitor data is limited to one named firm.
Opportunity
Open sources The prize for NeuroFrame is a complete re-architecting of how enterprises measure and manage human capital, moving from subjective, lagging indicators to a real-time, predictive behavioral data layer.
The headline opportunity is to become the definitive behavioral operating system for global enterprises. This outcome is reachable because the company's core wedge,a short, engaging game that captures thousands of behavioral data points,addresses a fundamental pain point in talent management: the unreliability of interviews and self-reported assessments [NeuroFrame, retrieved 2026]. By positioning its output as a psychometrically valid tool [neuro-frame.com, retrieved 2026] and benchmarking against a database of over 14,850 executives [NeuroFrame, retrieved 2026], NeuroFrame is building the foundational dataset for objective talent intelligence. The platform's stated expansion into team analytics, high-potential identification, and even venture fund due diligence [NeuroFrame, retrieved 2026] suggests a path beyond hiring to become a central system of record for human performance data across the employee lifecycle.
Growth is not a single path but a series of concrete scenarios, each with a distinct catalyst.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Enterprise Land-and-Expand | NeuroFrame becomes the mandated assessment layer for a global industrial or energy conglomerate, standardizing talent decisions across hundreds of subsidiaries. | A flagship contract with a named multinational in the industrial or energy sector, which the company reports initial discussions around [Maria Andrianova, December 2024]. | The product's claimed validation by clients in these sectors and the cited case study involving 400 candidates provide a wedge for large-scale deployments [NeuroFrame, retrieved 2026]. |
| Venture Capital API | The platform becomes the de facto due diligence tool for evaluating founding teams, embedded directly into the investment workflows of top-tier funds. | A formal partnership announcement with a named venture fund, leveraging the company's stated use case for assessing startup teams [Maria Andrianova, December 2024]. | The founder's background as an angel investor and the platform's design for objective team assessment create natural alignment with the investor persona [Boomplay, April 2025]. |
Compounding for NeuroFrame is a classic data network effect, but applied to behavioral benchmarks. Every new assessment administered enriches the proprietary dataset of 14,850+ executive profiles, improving the accuracy and granularity of percentile scoring for all future users. This creates a defensible moat: competitors would need to replicate not just the game mechanics but also the years of accumulated, context-rich behavioral data. Early signs of this flywheel are present in the company's ability to produce detailed comparison pages against established vendors like Criteria, a move that relies on deep benchmarking data [NeuroFrame, retrieved 2026]. As the dataset grows, the platform's value shifts from being a better assessment to being the source of truth for what "good" looks like in specific roles and industries.
The size of the win can be framed by looking at a public comparable. Criteria Corp, a provider of pre-employment assessments including the game-based Cognify test, was acquired by PSI Services for $500 million in 2021 [various reports]. That acquisition multiple reflects the strategic value of an embedded, data-rich assessment platform with enterprise distribution. For NeuroFrame, executing on the Enterprise Land-and-Expand scenario could position it as a next-generation alternative with a stronger behavioral data layer, suggesting a comparable or greater outcome range for a successful exit (scenario, not a forecast).
Partially corroborated -- The core product description and evidence base are confirmed by the company website. Growth scenarios and the data flywheel are inferred from company statements and a logical business model; specific catalyst details (e.g., named customer contracts) are not independently verified.
Sources
Open sources
[NeuroFrame, retrieved 2026] NeuroFrame , ML-Powered Game-Based Assessment Tests & Team Analytics Platform | https://neuroframe.ae/
[PitchBook, retrieved 2026] Neuroframe 2026 Company Profile: Valuation, Funding & Investors | https://pitchbook.com/profiles/company/1375439-59
[Crunchbase, retrieved 2026] Neuroframe - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/neuroframe
[Boomplay, April 2025] Maria Andrianova on Innovation, Mental Health, and Following Your Passion | https://www.boomplay.com/podcasts/70412
[Maria Andrianova, December 2024] 2024 Journey of the Disruptive Invention: the NeuroFrame Way | https://www.linkedin.com/posts/mariaandrianova_2024-journey-of-the-disruptive-invention-activity-7279454385292689409-0wQU
[neuro-frame.com, retrieved 2026] NeuroFrame is a psychometrically valid tool for objective employee assessment | https://neuroframe.ae/
[Grand View Research, 2023] Pre-Employment Assessment Market Size, Share & Trends Analysis Report | https://www.grandviewresearch.com/industry-analysis/pre-employment-assessment-market
[Gartner, 2023] Gartner Forecasts Worldwide HR Software Market to Reach $33.5 Billion in 2024 | https://www.gartner.com/en/newsroom/press-releases/2023-10-24-gartner-forecasts-worldwide-hr-software-market-to-reach-33-5-billion-in-2024
Articles about NeuroFrame
- NeuroFrame's Tower-Defense Game Lands a $1.58M Bet on Behavioral Hiring — The Dubai-based startup is using a 30-minute video game and a database of 14,850 executives to challenge traditional psychometric assessments.