Inferred skills are a claim. Verified skills are a decision.
The only Skills Intelligence Engine that verifies capability with calibrated assessments and refreshes it continuously in the flow of work. Decision-grade. Defensible. End to end.
Every platform claims skills intelligence. Almost none of them actually measure.
Inference is not measurement
Skills clouds, talent intelligence platforms, and HRIS bolt-ons read resumes, job titles, and self-reports, then call the output "skills intelligence." It is a probability, not a fact. The decision goes out on a guess.
Only 20% of companies use real skills insights for hiring. 9% have a true skills-based marketplace.
Josh Bersin Company, 2024
Snapshots age the moment they ship
Annual reviews, point-in-time assessments, badge counts. The data is out of date before the slide deck is built. Capability shifts faster than the system that measures it.
39% of workers' core skills will change between 2025 and 2030.
WEF Future of Jobs Report 2025
The trust layer is collapsing
AI is making inferred signals less reliable, not more. Resume claims get inflated, interview answers get coached, and the integrity layer the legacy stack relied on never adapted.
59% of hiring managers now suspect AI-driven misrepresentation in candidate responses.
Gartner
A skills intelligence platform is only as good as the signal underneath.
Inferred from artifacts.
Probabilistic by design.
Skills clouds, talent inference engines, and HRIS bolt-ons read what people say about themselves and what their titles imply. The output is a confidence score, not a measurement. Defending the decision in front of legal, finance, or the works council is your problem.
Reads resumes, job titles, self-attested skills, and clicked completions
Outputs a probabilistic skill match, often with no transparent rubric
Inferred score has no traceable evidence trail back to demonstrated work
The next AI tool a candidate uses degrades the signal further
Defensibility depends on whatever process the customer wraps around it
Verified by calibrated assessment. Evidence-based by design.
Workera measures what people can actually do, on calibrated rubrics built on Evidence-Centered Design. Every score is anchored to demonstrated capability. Every decision the engine touches comes with the evidence to defend it.
Performance-based assessments, scored against rubrics co-authored with SMEs
Capability Score and skill-level proficiency with task-level evidence
AI-native integrity. Two-stage detection. Human-in-the-loop decision.
Audit-grade evidence trail. ISO 42001 trajectory. Defensible to legal on day one
The signal survives the next AI tool because the assessment surface itself adapts
A signal you measure once a year is a signal that misleads the other 364 days.
Periodic snapshots. The picture ages the moment it ships.
Annual reviews, project retrospectives, end-of-program assessments. The skills picture refreshes when the calendar tells it to, not when capability changes. By the time the report lands, the workforce has already moved.
Annual cycle, manager-driven, retrospective
Capability deltas between assessments are invisible to the system
Emerging skills (new AI tools, new workflows) take quarters to surface
The signal that decides a hire is the same one that decides a promotion three years later
Reskilling investment lands on the gaps the catalog assumed, not the ones the work surfaced
Always-on Ambient signal.
The picture stays alive.
Ambient reads capability from the apps your workforce already opens every day. The assessment baseline turns into a living capability graph that refreshes itself. Every gap the signal surfaces is a gap the platform closes, in the same surface, against the same rubric.
Continuous, passive signal from the flow of work. Zero new portals. Zero new behavior
Capability gains and losses are observed in real time, not entered in a form
Emerging skills surface as they emerge. Mobility runs on what is true today
Consent-first by default. Individuals see their data first. Aggregate by default to admins
The signal compounds. Every loop sharpens the picture every downstream decision runs on
Feature by feature. The signal underneath is the entire product.
A side-by-side on the dimensions that decide whether the engine survives a real talent decision.
Six capabilities. One verified signal. Built for the talent decisions that move the business.
Verified Capability Score
A 5-point, summative Capability Score with question-level skill proficiency for every employee and candidate. Comparable across roles. Comparable across time. The same number that hires them develops, mobilizes, and promotes them.
Always-on Ambient signal
Ambient reads capability from the tools your workforce already lives in. The baseline becomes a living capability graph. Every gap the signal surfaces is a gap the engine closes, in the same surface, against the same rubric. Consent-first, by default.
AI-native integrity layer
Two-stage detection. Programmatic event capture during the session, agentic post-session review after. Every score comes with a narrative integrity report tied to every question. No webcams. No biometric capture. Defensible to legal on day one.
Cohort and aggregate rollups
One scoring engine, rolled up at the cohort, function, team, and org level. Benchmarks against industry and against function peers. CHRO sees the aggregate. CEO sees the trend. Compliance sees the audit trail.
AI-personalized coaching
Learning generated on demand against the user's verified gap. Coached in the flow of work. Pulled from the content partners your L&D team already invests in. Re-measured against the same continuous signal until the gap closes.
Native to your stack
ATS and HRIS integration for push and pull. Pull candidate, req, and employee data in. Push Capability Score and integrity reports back to the system of record. Workday live. Kombo connector live. More coming.
Four AI agents.
One verified signal.
Every talent decision sharper.
Hiring
Verify candidate capability before the offer. Skills-first assessments with intelligent proctoring, custom benchmarks, and an experience candidates rate highly.
Read more about customer story
Skills Assessments
100+ signature assessments with industry-best benchmarks. Credentials are earned by demonstrating capability, not by clocking seat time, and renew as the work changes.
Read more about customer story
Ambient Coaching
Always-on capability measurement, in the flow of work. Spots gaps before they cost you and helps to close them with personalized learning, without disrupting your routine.
Read more about customer story
AI Studio
Build and launch custom assessments in a day, not weeks. Native integrations with the AI stack your team already uses. Forward-deployed engineering available for the programs that matter most.
Read more about customer story
One engine. Four views. Scoped to the decisions each one makes.
Same Capability Score. Same Ambient signal. Different surface for the question each role is being asked.
FOR THE CHRO
One platform.
One taxonomy.
Every talent decision sharper.
Hiring, mobility, promotion, certification, all on the same scoring engine. The signal compounds. The competing-vendor tax disappears.
FOR THE CTO / VP of AI
AI deployment that knows whether the workforce is ready.
The bottleneck is rarely the model. It is whether the workforce can build, evaluate, and operate the system. The engine tells you, team by team, in real time.
FOR THE TALENT ACQUISITION
Fill from inside first. Verify the bar at the offer.
Every external requisition gets matched against a verified internal slate first. The candidate experience is one your team is proud to send.
FOR THE CFO
Consolidate the stack.
Defensible privacy.
Lower TCO.
Most enterprises spend mid-six to seven figures across their talent technology stack and still cannot answer what their workforce can do. Workera changes the math.
What the Engine delivers when verified capability runs the talent stack.
The signal compounds. Customer value does not plateau. It accelerates.
Capability lifttext
Increase in capabilities across critical skills, with insights used to benchmark against industry and promote top talent.
Mission alignment
Personnel aligned to mission-critical competencies, building the skills needed for tomorrow's challenges.
Baseline at scale
Baseline assessments across 28,000 employees in 20 countries in under three months. 70% engagement.
Mobility retention
Longer tenure at companies with high internal mobility. The capability graph surfaces the move that keeps your best people.
FAQ
Skills clouds infer capability from resumes, job titles, and self-reports. They are prediction engines. Workera measures what your people can actually do, every day, with calibrated assessments at the baseline and an always-on Ambient signal from the flow of work. Inferred is a guess. Verified is a decision. When you are making a high-stakes talent call, the difference is the difference between a good outcome and an expensive mistake.
HRIS skills inference reads what is already in the system: resumes, titles, completed courses, manager ratings. None of those are measurements. Workera sits on top of your HRIS as the verification and continuous-signal layer that the system of record cannot produce on its own. Push and pull integration with Workday is live. The HRIS gets more accurate, not more fragmented.
Point-solution assessment vendors run a test. Workera runs the engine: the assessment is one of four agents on a single Capability Score that hires, develops, mobilizes, promotes, and certifies on the same skill graph. The score from hiring is the score that develops the employee three years later. Comparable across roles, comparable across time. A point solution cannot do that by definition.
Ambient is the first always-on capability measurement system for the enterprise. It reads capability from the apps your workforce already opens every day. The assessment baseline turns into a living capability graph that refreshes itself. Every emerging skill, every closing gap, every transferable capability becomes visible in real time. No annual review. No waiting. Consent-first by default: the individual sees their data first, managers and admins see aggregate only.
Two-stage detection. Programmatic event signals are captured during the session. An agentic layer interprets them after to produce a question-level integrity report with evidence. The report supports reviewer judgment. It never auto-disqualifies. No webcams. No biometric capture. 59% of hiring managers now suspect AI-driven misrepresentation (Gartner). Workera was built for the new environment.
Workera is built on Evidence-Centered Design. We define the skill claims, specify the observable evidence that warrants them, and design tasks explicitly to elicit that evidence. Rubrics are co-authored with subject-matter experts, anchored with benchmark exemplars, and continuously monitored for drift. The methodology is published and peer-reviewed.
A global software leader baselined 28,000 employees in 20 countries with 50,000+ assessments in under three months. The AI Readiness Index Bundle is designed to deliver a first defensible Capability Score in weeks. Skills Assessments deploy at the cohort level immediately. Ambient stands up across a sample workforce with the apps your people already use.
The default is the policy. By default, no individual user data is shared with managers or admins. Aggregate only. The individual owns the primary view of their granular data, with per-data-element opt-in sharing they can revoke any time. Enterprise-grade trust: SOC 2 Type II, ISO 27001, GDPR, CCPA, WCAG 2.1 AA, ISO 42001 trajectory.
Hire better.
See Workera Hiring in a live demo. Walk through the leader experience, the candidate flow, an integrity report, and a candidate scorecard built from your role profile.