Outcome 01
Reduce manual evaluation effort
Use AI-suggested marks and explanations to speed up first-pass review while teachers approve every final mark.
Lumen by Caldorus
Lumen helps institutions evaluate descriptive answer sheets faster using teacher-approved rubrics, AI-suggested marks, confidence signals, review queues, moderation, and approved result exports.
Lumen console
Assessment
Midterm Biology
Rubric score
86% ready
Review queue
23 cases
A-104
Photosynthesis explanation
7/10
A-118
Numerical derivation
4/8
A-126
Case analysis
9/12
Teacher decision
91%
High-confidence answers can move faster while exceptions stay visible for review.
Product summary
Built for universities, colleges, exam cells, academic quality teams, and SIS/ERP partners, Lumen helps reduce manual evaluation effort while keeping final academic judgment with teachers.
What Lumen changes
Lumen supports descriptive answer-sheet evaluation with teacher-approved rubrics, AI-suggested marks, confidence signals, review queues, moderation, academic analytics, and approved exports.
Outcome 01
Use AI-suggested marks and explanations to speed up first-pass review while teachers approve every final mark.
Outcome 02
Attach expected concepts, mandatory points, common mistakes, and marking guidance to every answer so review decisions stay explainable.
Outcome 03
Surface confidence, missing concepts, moderation pressure, override rates, and outcomes reporting for academic review.
Current flagship
Built for universities, colleges, and exam teams that want to reduce manual evaluation effort while keeping final academic judgment with teachers.
Pilot posture
Start with one constrained assessment, clear rubrics, a defined teacher review team, and explicit success metrics.
Sales promise
Every final mark stays reviewable. Lumen helps teachers move faster, but approval, overrides, moderation, and exports remain under institutional control.
Evaluation workflow
The first sales conversation makes the workflow tangible: what gets uploaded, where AI helps, where teachers review, and when results can leave the system.
Lumen workflow proof
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AI suggestions stay explainable.
Teachers approve or override marks.
Only finalized marks move to export.
Resources
Use the current resource set to review pilot readiness, evaluation workflow, outcomes reporting, and SIS/ERP integration planning.
Define the first assessment, subject, language, rubric quality, review policy, and success metrics before starting a Lumen pilot.
Outcome: Confirm whether an institution has the right starting conditions for a controlled pilot.
Understand how answer-sheet upload, extraction, AI-suggested marks, review queues, moderation, and final export fit together.
Outcome: Map Lumen to the academic evaluation process before procurement or pilot rollout.
Use evaluated answers to support question analytics, concept misses, cohort trends, and outcome attainment review.
Outcome: Turn evaluation data into buyer-visible academic quality evidence.
Plan roster import, assessment metadata sync, approved final result export, and external ID mapping for institutional systems.
Outcome: Reduce procurement friction by showing how final marks can return to institutional systems.
Documentation
The Lumen Assessment Intelligence documentation introduces the buyer-safe product concepts, pilot path, evaluation workflow, rubric review, and integration planning.
Docs
Understand Lumen, where it fits, and how to scope a pilot.
Docs
Prepare the first assessment, rubric, review team, and success criteria.
Docs
Map upload, extraction, suggested marks, review, moderation, and export.
Docs
See how teacher control and rubric explainability shape the product.
Lumen by Caldorus
Use the shared contact path to discuss assessment fit, pilot scope, pricing, documentation, trust requirements, or result handoff.