A 30-minute tower-defense game is not the typical first step in hiring a senior executive. But for NeuroFrame, the clicks, reaction times, and resource-allocation choices players make in that game are the raw material for a new kind of behavioral assessment. The Dubai-based startup is betting that observing how people behave in a structured, interactive simulation yields more predictive and objective data than a resume scan or a self-reported questionnaire. It is a bet that has convinced a small group of venture investors to commit $1.58 million in pre-seed capital [PitchBook, retrieved 2026].
The wedge: gameplay over questionnaires
NeuroFrame's core argument is that traditional assessments are too static. Interviews are subjective, and multiple-choice psychometric tests can be gamed. The company's alternative is an ML-powered platform where candidates play a custom-built tower-defense game for 30 to 60 minutes [NeuroFrame, retrieved 2026]. The software captures thousands of behavioral micro-signals,how a player prioritizes threats, adapts to new rules, or manages limited resources,and maps them to a framework of eight validated competencies, such as strategic thinking and resilience [NeuroFrame, retrieved 2026]. The output is a profile intended to help with hiring, internal talent mobility, and team analytics.
The company's primary wedge into the enterprise is its evidence base. NeuroFrame claims its models are built on behavioral data from approximately 14,850 executives and entrepreneurs across more than 500 companies and 21 industries [NeuroFrame, retrieved 2026]. This benchmark is the foundation of its validity argument, positioning the game not as an entertainment gimmick but as a psychometrically calibrated instrument. Early commercial evidence includes claimed contracts with unnamed international companies in the industrial and energy sectors, and a reported case study where the platform saved a client $50,000 per training cycle across 400 candidates [NeuroFrame, retrieved 2026] [Maria Andrianova, December 2024].
The team and the science layer
Leading the company is CEO Maria Andrianova, described in founder profiles as a serial entrepreneur and angel investor who moved from corporate work into the Dubai startup scene [Boomplay, April 2025]. The operational helm is held by COO Ekaterina Georgiewskaya [F6S, Unknown]. NeuroFrame emphasizes the scientific rigor behind its product, stating its wider team includes five PhDs specializing in psychometrics, neurophysiology, and computational cognitive science [NeuroFrame, retrieved 2026]. This academic depth is a key part of its sales narrative to risk-averse HR departments that require validated tools.
The company's current headcount is a point of divergence in public records. Its own corporate profile suggests a team of 11-50 employees [NeuroFrame, retrieved 2026], while other sources list a leaner operation of four as of early 2026 [Tracxn, retrieved 2026]. This discrepancy likely reflects the difference between full-time staff and a broader network of scientific advisors and contractors.
Pre-Seed Round | 1.58 | M USD
Where the wheels could come off
For all its ambition, NeuroFrame faces a series of practical hurdles that will define its next phase. The market for talent assessment is crowded and entrenched, and the company's novel approach requires a significant shift in buyer behavior.
- The proof-of-value sale. Enterprise HR buyers purchase predictability and reduced liability. NeuroFrame must move beyond internal validation and case studies to publish third-party, longitudinal studies correlating its game-based assessments with on-the-job performance outcomes. Without this, it remains an interesting experiment.
- The implementation burden. Introducing a video game into a corporate hiring process is a change management project. It requires training recruiters, justifying the time investment to candidates, and integrating the output into existing applicant tracking systems. The friction is high compared to sending a standardized test link.
- The competitive set. NeuroFrame directly compares itself to Criteria's Cognify, a well-established game-based assessment [NeuroFrame, retrieved 2026]. Beyond that, its realistic competitive set is broad. It includes legacy psychometric giants like SHL and Hogan, modern SaaS platforms like Plum and Pymetrics, and the entrenched incumbent in any hiring process: the traditional interview. Winning requires displacing budget and trust from these established options.
The company's answer, so far, appears to be a focus on specific, high-stakes use cases where the cost of a mis-hire is extreme. These include leadership development, identifying high-potential internal talent, and even venture capital funds assessing founding teams [NeuroFrame, retrieved 2026]. By targeting these niches first, NeuroFrame can aim for higher contract values and build a reputation before attempting a broader assault on volume recruiting.
The next twelve months
NeuroFrame's immediate roadmap will be less about new game features and more about commercial proof points. The key metrics to watch are not gameplay hours, but enterprise sales cycles and renewal rates. The company has mentioned discussions with large regional entities like Aramco Ventures and ADNOC, framing them as expansion talks [Maria Andrianova, December 2024]. Converting any of those conversations into a named, publicly referenceable enterprise customer would be a significant traction signal.
Financially, the $1.58 million in pre-seed capital provides runway to iterate on both product and go-to-market. The investor group, including F4 Fund, LAUNCH Fund, Precursor Ventures, and Proof Group, has backed a thesis that behavioral data captured dynamically is superior to self-reported data [PitchBook, retrieved 2026]. Their continued support will likely hinge on NeuroFrame demonstrating that its product can consistently land six-figure annual contracts with clear ROI.
NeuroFrame's ideal customer profile is not the corporate recruiter filling 100 entry-level roles. It is the head of talent at a multinational corporation or a senior partner at a venture fund, someone who makes a small number of critically important, high-cost people decisions each year. For that buyer, a $50,000 savings on a bad hire is a compelling start, but the larger promise is reducing the risk of a catastrophic leadership mismatch that can cost millions.
The company's realistic competitive set extends beyond direct game-based assessment rivals. It is competing for budget and attention against the entire ecosystem of human capital analytics, from survey tools to interview training software. NeuroFrame's bet is that its combination of neuroscience, machine learning, and interactive gameplay creates a moat deep enough to own a new category: continuous behavioral intelligence. The next year will test whether enterprise buyers are ready to play along.
Sources
- [NeuroFrame, retrieved 2026] NeuroFrame, ML-Powered Game-Based Assessment Tests & Team Analytics Platform | https://neuroframe.ae/
- [NeuroFrame, retrieved 2026] NeuroFrame vs Criteria (Cognify): where we are weaker | https://neuroframe.ae/en/compare/criteria-cognify
- [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
- [PitchBook, retrieved 2026] Neuroframe 2026 Company Profile: Valuation, Funding & Investors | https://pitchbook.com/profiles/company/1375439-59
- [Tracxn, retrieved 2026] Neuroframe Company Profile | https://tracxn.com
- [F6S, Unknown] NeuroFrame Company Profile | https://www.f6s.com
- [LinkedIn, retrieved 2026] Alexandra Lejsek - THE HAAUS | https://www.linkedin.com/in/alexandra-lejsek-0269271b6/