Whether you're grading essays, hiring talent, or collecting data, the problem is the same: AI spam. The solution is provenance.
Stop wasting hours interviewing candidates who used AI to pass the screen. Validate the human effort behind the take-home assignment. We flag clipboard dumps and linear generation instantly.
Your take-home assignment was pasted in 0.2s. We flag clipboard dumps instantly.
Cinema Mode reveals if they wrote the content linearly or patched it together. Watch the thought process.
The initial phase would focus on identifying the core persona. We cannot simply cast a wide net; we must target the "power users" who feel the pain point most acutely.
Furthermore, leveraging a product-led growth (PLG) motion ensures that the value metric aligns with customer success...
By optimizing the onboarding flow to reduce time-to-value, we can increase activation rates significantly.
Give credit where it's due. Validate the effort, flight time, and editing process of every assignment to reward students who actually do the work.
We track the 'Imperfection Metric.' Real students backspace, edit, and pause. Bots don't.
A focused writing environment. If they leave the tab to Google an answer, we log the Focus Lost event.
The rapid integration of artificial intelligence into educational settings presents both unprecedented opportunities and significant challenges.
While personalized learning algorithms can adapt to individual student needs, ensuring academic integrity remains a critical concern for institutions worldwide.
40% of survey respondents are bots or farmers using AI. Veritype filters them out by analyzing typing biometrics, ensuring 100% human insights.
See what users wrote before they abandoned the survey. Capture partial responses and hesitation patterns.
Stop paying incentives to bots. Only pay for verified human responses.
Analyzing invisible metadata to validate human effort.
We measure the milliseconds between keys. Humans have a 'heartbeat' when they type—bursts of speed and pauses for thought.
We calculate a weighted score (0-100) based on paste frequency, tab switches, and editing behavior. Green means Human.
We don't record the face (unless you ask). We analyze the document history. It’s less invasive than a webcam, but harder to cheat.
Legacy detectors rely on fragile patterns. Veritype tracks the immutable physics of creation.
Traditional detection relies on statistical watermarks embedded in the text.
| Comparison | Old Way | Veritype Way |
|---|---|---|
| Scope | Model Specific | Universal |
| Resilience | Fragile (Breaks on Edit) | Antifragile (Tracks Edits) |
| Method | Probabilistic Guess | Deterministic Log |
Detectors look for invisible mathematical patterns in the final text. This is a losing battle. New models, paraphrasers, and human edits wash these patterns away.
Veritype ignores the text. We analyze the act of creation. Whether it came from ChatGPT, Llama, or a notebook—if it appeared on the screen in 0.01 seconds, it wasn't typed.