# Levelmind

*/Occupations/Engineering_and_Architecture_Teachers,_Postsecondary/Problems/ABET_Accreditation_Data_Collection/Startups/Levelmind*

## Startup Overview

This software ingests unstructured student coursework—ranging from scanned thermodynamics exams to CAD drawings and GitHub repositories—and autonomously maps individual assignment components to ABET learning outcomes. It serves engineering and architecture faculty who otherwise spend weeks manually extracting question-level data and anonymizing high, average, and low performance samples to maintain academic accreditation.

Legacy assessment suites like Watermark Taskstream and AEFIS force departments to standardize rubrics, while general LMS platforms like Canvas require professors to manually double-grade assignments to isolate specific compliance criteria. Instead, this format-agnostic extraction engine adapts to native academic workflows without requiring structural changes to course design. By applying multimodal parsing to complex visual and textual files, the software automatically isolates the exact evidence needed to substantiate specific engineering proficiencies.

Department chairs and assessment coordinators receive a continuously updated compliance dataset without chasing instructors via email for assignment samples. The system automatically collates, redacts, and categorizes the required artifact evidence into a centralized matrix. This eliminates manual spreadsheet outcome mapping and delivers granular, multi-year competency tracking across the entire academic program.

## Startup Founding Hypothesis

**Problem**: [ABET Accreditation Data Collection](/Occupations/Engineering_and_Architecture_Teachers,_Postsecondary/Problems/ABET_Accreditation_Data_Collection)
**Approach**: a software that autonomously maps unstructured artifacts using vision-language models
**Competitors**:
- [Watermark Taskstream](/Competitors/Watermark_Taskstream)
- [AEFIS](/Competitors/AEFIS)
- [double-grading coursework](/Competitors/double-grading_coursework)
**Differentiator2x2**: format-agnostic for unstructured coursework and capable of autonomous parsing

## Startup Solution Coordinate

**Solution**: [Artifact Matrix](/Software/Artifact_Matrix)

## Startup Offer

**Proof**:
- Mechanical engineering departments aiming to cut ABET artifact tagging to under two hours per course.
- Architecture programs targeting total aggregation of native design files without requiring manual format conversions.
- Assessment coordinators targeting the elimination of end-of-semester email chasing for physical exam samples.
**Tiers**:
- Name: Department Core · Price: ~$4,000–$7,500/yr per department · Inclusions: Ingestion of unstructured artifact formats (PDFs, CAD, Jupyter) for up to 500 students, manual side-by-side rubric tagging interface, and raw data export.
- Name: College Extended · Price: ~$10,000–$14,500/yr per college · Inclusions: Coverage for up to 2,500 students, intended LMS assignment syncing (Canvas/Blackboard), and cross-course artifact anonymization workflows.
**Guarantee**: If the platform cannot successfully ingest and render your department's specific engineering file formats, we will manually process the batch or refund your semester fee.
**Business Function**: ProvideService
**Objection Handlers**:
- Faculty will refuse to adopt another grading tool alongside our LMS. -> Levelmind operates strictly as a post-grading extraction interface, requiring zero changes to how professors grade.
- Our CAD files and code repositories are too complex for standard document viewers. -> The platform is explicitly designed to render native engineering file structures without requiring PDF conversions.
- We want AI to map the outcomes automatically to save time. -> Automated mapping introduces compliance risks; Levelmind centralizes formats but keeps mapping strictly in faculty hands.
**Pricing Architecture**: Tiered
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Academic and precise, prioritizing clear compliance over technical jargon.
**Tagline**: Extract ABET accreditation evidence directly from unstructured student artifacts.
**Icon Concept**: caliper
**Palette Intent**: institutional-cool
**Visual Identity**: The visual identity anchors on slate gray and blueprint cyan, using monospaced typography and schematic diagrams to evoke rigorous engineering assessment.
**Archetype Reference**: the-sage

## Startup Proof Points

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**Pilot Goals**:
- Single-department engineering pilot (1 semester, 5 core courses): Aim to successfully tag, redact, and export all required student artifacts into a fully mapped ABET dossier without using secondary spreadsheets.
- Multi-program architecture and engineering pilot (8 weeks, 15 faculty seats): Target the successful ingestion and visual tagging of mixed unstructured formats, including raw CAD files, code directories, and handwritten PDFs, without triggering a file conversion error.
**Target Metrics**:
- Target: 0 instances of secondary spreadsheet grading required to isolate ABET proficiencies from course-level exams.
- Aim: 100% elimination of external manual PDF redaction software used to scrub student identifiers.
- Target: 15-hour reduction in faculty labor per course spent extracting question-level data into department compliance spreadsheets.
- Aim: 100% capture rate of high, average, and low artifact samples across all required degree program criteria without email follow-ups.
**Target Case Studies**:
- Large public research university engineering department chair: Shifts from chasing faculty via email for high, average, and low assessment samples to accessing a centralized artifact registry populated natively via faculty visual tagging overlays.
- Private design college architecture professor: Transitions from manually double-grading massive CAD files in isolated spreadsheets to mapping specific design proficiencies directly onto the native artifacts using format-agnostic visual tags.
- Polytechnic institute assessment coordinator: Moves from manually redacting hundreds of student PDFs and extracting LMS data to generating ABET-compliant dossiers using built-in student redaction tools and multi-program outcome matrices.
**Testimonial Targets**:
- Engineering Faculty Member: Sentiment validating that the visual tagging overlay allows them to grade handwritten thermodynamics exams natively, without conforming to rigid, standardized LMS rubrics.
- Assessment Coordinator: Sentiment confirming that the multi-program outcome matrices automatically aggregate the required high, average, and low artifact samples into a structured dossier, eliminating email chases.
- Architecture Department Chair: Sentiment highlighting that the format-agnostic viewer successfully maps uncompressed CAD files to learning criteria without forcing file conversion or compromising academic freedom.

## Startup Solution Stack

- [Accreditation Matrix Service](/Services/Accreditation_Matrix_Service) — Service-as-Software
- [Evidence Curation Agent](/Agents/Evidence_Curation_Agent) — Agent
- [Proficiency Alignment Worker](/Agents/Proficiency_Alignment_Worker) — Agent
- [Artifact Parsing Engine](/Software/Artifact_Parsing_Engine) — Software
- [Student Redaction API](/Software/Student_Redaction_API) — Software

## Startup Story Brand

**Hero**:
- **Need**: to protect academic freedom by grading coursework natively instead of conforming to rigid software rubrics
- **Want**: to gather student learning evidence without sacrificing hours to manual data entry
- **Identity**: an Engineering or Architecture Faculty Member at an ABET-accredited institution
**Plan**:
- Step: Upload Artifacts · Detail: Drop your raw course files, from GitHub repositories to scanned exam PDFs, into the secure portal.
- Step: Audit Mapping · Detail: Review the autonomously generated ABET criteria correlations and PII-redacted evidence samples.
- Step: Sync Dossier · Detail: Export the verified compliance data directly to your department spreadsheet or centralized assessment hub.
**Guide**:
- **Empathy**: You shouldn't still be chasing faculty for high-average-low performance samples. Watermark Taskstream wasn't built to autonomously parse unstructured CAD drawings or handwritten thermodynamics exams.
**Problem**:
- **Villain**: Double Grading
- **External**: Instructors manually extract question-level scores from Canvas and redact PII from handwritten PDFs to satisfy Watermark Taskstream requirements.
- **Internal**: You feel like a compliance clerk rather than a researcher and educator.
- **Philosophical**: Why should engineering expertise accept administrative drudgery when multimodal AI is capable of parsing complex technical artifacts?
**Success**: Your program achieves ABET compliance with a continuous, multi-year evidence trail generated automatically from your existing grading workflow.
**One Liner**: Every semester, Engineering and Architecture Teachers lose weeks to manual artifact collation. Levelmind autonomously parses unstructured student work into ABET-mapped dossiers so faculty can focus on teaching.
**Positioning**:
- **So That**: map unstructured student work to learning outcomes without double-grading assignments
- **Unlike**: Watermark Taskstream and Manual LMS Extraction
- **For Whom**: Engineering and Architecture Faculty and Assessment Coordinators
- **Category**: Autonomous ABET Evidence Collection Software
**Call To Action**:
- **Direct**: Parse a Course
- **Transitional**: Review Sample Compliance Dossier
**Failure Stakes**:
- Losing 20 hours per semester to manual data collation
- Potential accreditation findings for insufficient multi-year outcome data
- Strained relationships with faculty over administrative burdens
**Transformation**:
- **To**: the professor who maintains high accreditation standards through automated evidence collection
- **From**: an instructor buried in Canvas CSV exports and redaction pens
**Controlling Idea**: Accreditation evidence should be a byproduct of grading, not an additional manual workload.

## Neighborhood

### What it offers

- [Artifact Matrix](/Software/Artifact_Matrix) — offers · Software
- [Levelmind Escalation Agent](/Agents/Levelmind_Escalation_Agent) — offers · Agents

### Competitors

- [Watermark Taskstream](/Competitors/Watermark_Taskstream) — competes with · Competitors
- [AEFIS](/Competitors/AEFIS) — competes with · Competitors
- [double-grading coursework](/Competitors/double-grading_coursework) — competes with · Competitors
- [Spreadsheet Outcome Mapping](/Competitors/Spreadsheet_Outcome_Mapping) — competes with · Competitors
- [Double-Grading Assignments](/Competitors/Double-Grading_Assignments) — competes with · Competitors
- [Canvas LMS](/Competitors/Canvas_LMS) — competes with · Competitors
- [Anthology Portfolio](/Competitors/Anthology_Portfolio) — competes with · Competitors
- [manual double-grading](/Competitors/manual_double-grading) — competes with · Competitors
- [manual question-level LMS extraction](/Competitors/manual_question-level_LMS_extraction) — competes with · Competitors
- [manual LMS extraction](/Competitors/manual_LMS_extraction) — competes with · Competitors
- [Blackboard Learn](/Competitors/Blackboard_Learn) — competes with · Competitors
- [manual spreadsheet mapping](/Competitors/manual_spreadsheet_mapping) — competes with · Competitors
- [double-grading workflows](/Competitors/double-grading_workflows) — competes with · Competitors
- [manual spreadsheets](/Competitors/manual_spreadsheets) — competes with · Competitors
- [DevRev Support](/Competitors/DevRev_Support) — competes with · Competitors
- [Jira Service Management](/Competitors/Jira_Service_Management) — competes with · Competitors
- [Tiered Engineering Support](/Competitors/Tiered_Engineering_Support) — competes with · Competitors
- [Intercom Fin](/Competitors/Intercom_Fin) — competes with · Competitors
- [Zendesk Advanced AI](/Competitors/Zendesk_Advanced_AI) — competes with · Competitors

### Composed of

- [Evidence Curation Agent](/Agents/Evidence_Curation_Agent) — composes · Agents
- [Student Redaction API](/Software/Student_Redaction_API) — composes · Software
- [Proficiency Alignment Worker](/Agents/Proficiency_Alignment_Worker) — composes · Agents
- [Artifact Parsing Engine](/Software/Artifact_Parsing_Engine) — composes · Software
- [Accreditation Matrix Service](/Services/Accreditation_Matrix_Service) — composes · Services
- [Artifact Redaction Engine](/Software/Artifact_Redaction_Engine) — composes · Software
- [Criterion Mapping Agent](/Agents/Criterion_Mapping_Agent) — composes · Agents
- [Artifact Parsing Agent](/Agents/Artifact_Parsing_Agent) — composes · Agents
- [LMS Ingestion API](/Software/LMS_Ingestion_API) — composes · Software
- [Accreditation Dossier Service](/Services/Accreditation_Dossier_Service) — composes · Services
- [Repository Execution Agent](/Agents/Repository_Execution_Agent) — composes · Agents
- [Escalation Resolution Service](/Services/Escalation_Resolution_Service) — composes · Services
- [Ticket Ingestion API](/Software/Ticket_Ingestion_API) — composes · Software
- [Context Retrieval Engine](/Software/Context_Retrieval_Engine) — composes · Software
- [Codebase Analysis Agent](/Agents/Codebase_Analysis_Agent) — composes · Agents

### Embodies

- [Software](/Theses/Software) — embodies · Theses
- [Agent](/Theses/Agent) — embodies · Theses

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