Eval

The AI grading assistant

No more grading the same issues over and over. AI handles repetitive feedback, you focus on the moments that make students go 'now I get it.'

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Productive grading,
You stay in control

AI that supports your grading process while you maintain final say. Works with your existing rubrics and assessment criteria.

Grade faster
Transform hours into minutes. Analyzes reports in seconds, pinpoints key evidence, and suggests precise scores. You review, refine, and approve—no more tedious read-throughs.
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Manual Grading

Essay_1.pdf
Report_2.docx
Research_3.pdf
Analysis_4.docx
Thesis_5.pdf

~1 hour per document

Grading with Eval

Essay_1.pdf
Report_2.docx
Research_3.pdf
Analysis_4.docx
Thesis_5.pdf

~30 min per document

Works with every rubric and report
Your rubrics. Your way. Weighted criteria, competency frameworks, single-point scales—Eval adapts instantly. Upload existing rubrics or create new ones.
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Drop Files Here

Word, Excel, PDF

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Your gut instinct, backed by evidence
Eval collects all supporting and contradicting evidence for each score, then writes clear reasoning you can use directly. Click highlighted citations to review relevant passages—no more hunting through student work to justify your grades.
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Research Report

Abstract

This research focuses on the role of the HPA axis (hypothalamic-pituitary-adrenal axis) in stress regulation and possible disruptions thereof in neuropsychiatric disorders such as depression and ADHD. The study specifically investigates the receptor translocation mechanisms that may lead to new therapeutic approaches.

Introduction

The hypothalamic-pituitary-adrenal axis (HPA axis) is a crucial endocrine system that regulates the stress response through the release of corticotropin-releasing hormone (CRH), adrenocorticotropic hormone (ACTH) and cortisol. Dysregulation of this system is associated with various psychiatric conditions, including depression, anxiety disorders and ADHD.

Recent research has shown that the mineralocorticoid receptor (MR) and glucocorticoid receptor (GR) play an important role in the fine regulation of the HPA axis. These receptors show different affinities for cortisol and corticosterone, with the MR having a higher affinity for both hormones compared to the GR.

Methodology

For this study, 120 participants were recruited, divided into four groups: healthy controls (n=30), patients with depression (n=30), patients with ADHD (n=30) and patients with comorbid depression and ADHD (n=30). All participants underwent extensive neuropsychological testing and neuroimaging.

Blood samples were taken at various times throughout the day to determine the circadian rhythm of cortisol. In addition, the dexamethasone suppression test was performed to evaluate the feedback sensitivity of the HPA axis.

Results

The results showed significant differences in basal cortisol levels between the four groups (F(3,116) = 12.34, p < 0.001). Patients with depression showed elevated morning cortisol values compared to healthy controls (p < 0.01), while patients with ADHD showed decreased values (p < 0.05).

The dexamethasone suppression test revealed that 43% of depressive patients were non-suppressors, compared to only 10% in the control group. This suggests reduced feedback sensitivity of the HPA axis in depression. Interestingly, patients with comorbid depression and ADHD showed an intermediate pattern.

Neuroimaging data showed structural changes in the hippocampus and prefrontal cortex in all patient groups. The volume reduction in the hippocampus correlated significantly with the severity of symptoms (r = -0.58, p < 0.001).

Discussion

These findings support the hypothesis that dysregulation of the HPA axis plays a central role in the pathophysiology of both depression and ADHD. However, the opposite patterns in cortisol secretion suggest different underlying mechanisms.

The receptor translocation studies showed that in depressive patients, GR density in the hippocampus was significantly reduced, which may contribute to the reduced feedback sensitivity. In ADHD patients, on the other hand, an increased MR/GR ratio was found, possibly as a compensation mechanism for the chronically low cortisol levels.

These results have important implications for the development of new therapeutic interventions. Medication specifically aimed at restoring receptor balance could be more effective than current treatments.

Conclusion

This research confirms the complex role of the HPA axis in neuropsychiatric disorders and emphasizes the importance of receptor-specific approaches in future research and therapy development.

For the criterion Introduction - 1, the chosen level is advanced. The introduction discusses the HPA axis and addresses neuropsychiatric disorders including depression and ADHD. Research into receptor translocation is emphasized.

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'What about paragraph 3?' 'Is this argument strong enough?' 'Show me similar responses.' Grade through conversation. Ask questions, get instant analysis, refine your assessment—like having an expert colleague who's read everything.
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Gets better with use
Every adjustment you make teaches Eval your standards. It learns your grading style, remembers your preferences, and becomes more aligned with your expectations. The more you grade together, the smarter it gets.
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Zo leert Eval

Your data stays yours

Student data deserves the best protection. That's why we've built security into every layer.

GDPR Compliant

Complete data privacy protection with strict GDPR adherence and transparent data handling practices.

Dutch Server Storage

All your data is stored and hosted on Dutch servers in the Netherlands. Your account data, student work, and grading history are stored on Dutch territory.

No Training, Strict DPAs

Student data is never used for training AI models. Prompts are anonymously sent to ISO27001/SOC2 certified providers under strict Data Processing Agreements. Your grading preferences remain exclusively yours.

ISO 27001

In Progress

Infrastructure designed with enterprise security standards and ISO 27001 certification goals in mind.

Answers to common questions

Meet the team

Graduates and developers working with educators to make grading more productive

Luc Mahieu

Luc Mahieu

Founder & CEO

Luc founded Eval to solve educators' time challenge. Through conversations with dozens of educators while building AI tools for education, he discovered a recurring problem: grading takes too much time. With his background in Industrial Design (TU Delft) and AI (University of Amsterdam), he mapped the grading process and developed the LLM mechanisms and rubric-based evaluation systems that power Eval.

T

Tom van Klaarbergen

AI Engineer & Backend Developer

Tom ensures Eval performs reliably for teachers. As a tutor and AI student (Radboud University), he saw how much time teachers spend on grading. With his knowledge of machine learning and AI techniques, he optimizes Eval's systems for speed and stability. His full-stack experience keeps the complexity hidden so teachers can focus on teaching.

J

Jaap Smit

Frontend & UX Developer

Jaap ensures Eval's features work intuitively. As a Mechanical Engineering student (TU Eindhoven) and experienced treasurer, he knows: systems must work and be clear. He tests every feature and brings systematic thinking to ensure teachers understand what Eval is doing and can rely on a stable tool.

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