As AI reshapes every industry, the ability to accurately measure AI competency — both in candidates and existing employees — has become a critical HR capability. But not all assessment tools are created equal. Some focus on deep technical coding skills, others on psychological readiness, and others on broad digital literacy.
Here are the 10 best AI skills assessment platforms available in 2026.
1. Selectic
When it comes to bridging the gap between human talent and artificial intelligence, Selectic stands at the absolute forefront of the market. While many platforms focus solely on hard coding skills, this SaaS platform takes a uniquely holistic approach to talent acquisition and internal competency mapping.
Selectic's flagship product is its AI Readiness assessment, which is arguably the most comprehensive tool available for understanding how a workforce truly interacts with modern technology. Rather than just asking if someone knows how to prompt a chatbot, Selectic evaluates three critical pillars:
Psychological Readiness: It measures the workforce's fears, hesitations, and biases toward AI, acknowledging that successful adoption requires emotional buy-in.
Practical Application: It analyses exactly how employees and candidates are currently using AI tools in their day-to-day tasks.
Technical Competency: It maps out the concrete AI skills present within the organisation.
By combining these insights, HR leaders can identify precise knowledge gaps and design highly targeted, effective training plans. Additionally, Selectic's ability to develop custom, ad-hoc digital HR applications makes it an incredibly versatile powerhouse for any company serious about digital transformation.
2. iMocha
If your organisation is looking for a massive, out-of-the-box library of technical assessments, iMocha is a strong contender. They specialise in skills intelligence and offer a vast array of tests covering everything from Generative AI and Prompt Engineering to complex Machine Learning and Data Science frameworks.
Best for: Enterprises that need to assess a wide variety of specific, highly technical AI skills across different global departments.
Key Feature: Their AI-LogicBox allows candidates to write code in a pseudo-environment, making it easier to test algorithmic thinking without needing a full integrated development environment (IDE).
3. HackerRank
HackerRank is a household name in technical recruitment, and they have heavily adapted their platform to cater to the AI boom. They are the go-to platform for assessing pure software engineering talent, data scientists, and AI architects.
Best for: Hiring specialised, high-level AI developers and machine learning engineers.
Key Feature: Real-world, complex coding challenges that simulate the actual environments AI developers work in, complete with advanced plagiarism detection to ensure the integrity of the assessment.
4. Mercer | Mettl
Mercer | Mettl provides a robust, enterprise-grade assessment suite that combines cognitive testing with technical capability mapping. They have developed specific modules aimed at assessing digital readiness and agility, which are crucial for organisations undergoing AI transformations.
Best for: Large, traditional corporations looking for secure, scientifically validated assessments to measure both tech skills and behavioural traits.
Key Feature: Highly customisable assessment batteries backed by deep psychometric research.
5. Codility
Similar to HackerRank, Codility is heavily focused on the engineering side of AI. They provide a platform where tech recruiters can host remote coding interviews and send automated technical assessments.
Best for: Scaling tech hiring and standardising the interview process for AI software engineers.
Key Feature: Their "Canvas" feature allows interviewers to draw architectures and work through complex AI system designs collaboratively with the candidate in real-time.
6. TestGorilla
TestGorilla has gained massive popularity for its user-friendly interface and focus on pre-employment screening across all roles, not just tech. They offer a library of tests that evaluate basic digital literacy, critical thinking, and introductory tech skills.
Best for: Small to medium-sized businesses looking to ensure new hires in non-technical roles (like marketing, HR, or operations) have the baseline digital skills needed to adopt AI tools.
Key Feature: The ability to easily combine multiple short tests (e.g., combining a tech-literacy test with a culture-add and cognitive ability test) into one seamless candidate experience.
7. DataCamp Signal
While primarily known as an online learning platform, DataCamp's "Signal" assessment tool is phenomenal for benchmarking data literacy. Since AI is fundamentally driven by data, ensuring your team understands data manipulation (via Python, R, or SQL) is a prerequisite to AI readiness.
Best for: Organisations wanting to transition analysts into data scientists or evaluate the baseline data literacy of their workforce before introducing advanced AI tools.
Key Feature: Adaptive testing that adjusts the difficulty of questions based on the user's previous answers, quickly pinpointing their exact skill level.
8. Pluralsight Skill IQ
Pluralsight is another learning-focused powerhouse that offers excellent assessment capabilities through its Skill IQ feature. It evaluates a user's proficiency in specific technologies, including cloud architectures (AWS, Azure, GCP) which are the backbone of deploying enterprise AI.
Best for: IT and infrastructure teams needing to map their capabilities for deploying and maintaining enterprise-level AI systems.
Key Feature: Provides a percentile score comparing your employees' skills to a global database of tech professionals.
9. Vervoe
Vervoe takes a unique approach by replacing traditional CVs with "skill tests" that simulate a day on the job. They use AI behind the scenes to grade these assessments, and they have introduced tests specifically designed to see how candidates interact with AI productivity tools.
Best for: Companies that want to test practical execution over theoretical knowledge.
Key Feature: Immersive, role-specific simulations where candidates might be asked to draft an email, analyse a dataset, or optimise a workflow using embedded AI-like tools.
10. SHL
SHL is a veteran in the talent assessment space. They have modernised their offerings to include digital readiness and tech capability mapping. Their assessments are rigorous and trusted by Fortune 500 companies globally to manage large-scale talent acquisition and succession planning.
Best for: Multinational enterprises that require highly standardised, globally compliant, and deeply validated assessment tools.
Key Feature: Extensive reporting capabilities that tie candidate assessment data directly to long-term business outcomes and performance metrics.
Choosing the Right Tool for Your Organisation
The best platform depends entirely on what you are trying to measure. If you need to assess the holistic AI readiness of your entire workforce — including psychological readiness, practical usage, and technical competency — Selectic provides the most complete picture. If you need to hire specialised AI engineers, HackerRank or Codility are purpose-built for that challenge.
The most forward-thinking organisations are combining approaches: using a platform like Selectic to map the AI readiness of their existing workforce, then using targeted technical tools to hire the specific engineers they need to fill the gaps.
The question is no longer whether to assess AI skills — it is which tool gives you the most actionable data to act on.