# Retraga

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

## Startup Overview

The service processes unstructured student coursework into mapped compliance evidence for ABET accreditation. By ingesting varied assignment formats—from handwritten thermodynamics exams to CAD drawings and GitHub repositories—the system autonomously isolates individual question components. It extracts the raw evaluation data and directly correlates specific proficiencies to mandated institutional learning outcomes without requiring faculty to alter their grading rubrics.

Engineering and architecture faculty currently lose weeks collecting, anonymizing, and evaluating high, average, and low performance samples for accreditation cycles. Because standard learning management systems do not natively track granular, multi-year proficiencies, instructors resort to double-grading coursework to satisfy both course comprehension and ABET criteria. This bottleneck leaves department chairs and assessment coordinators manually extracting question-level scores and chasing professors for artifact evidence to populate centralized spreadsheets.

Legacy assessment suites like Watermark Taskstream and AEFIS operate as rigid databases that force departments to adopt standardized grading structures across all courses. Instead of requiring manual spreadsheet mapping and uniform rubrics, this outcome-priced service operates strictly format-agnostic and relies on autonomous parsing. The system reads complex engineering formats natively, allowing professors to maintain their exact grading workflows while the infrastructure generates continuous compliance dossiers in the background.

## Startup Founding Hypothesis

**Problem**: [ABET Accreditation Data Collection](/Occupations/Engineering_and_Architecture_Teachers,_Postsecondary/Problems/ABET_Accreditation_Data_Collection)
**Approach**: an outcome-priced service that maps unstructured course artifacts to specific ABET proficiencies
**Competitors**:
- [Watermark Taskstream](/Competitors/Watermark_Taskstream)
- [Anthology Portfolio](/Competitors/Anthology_Portfolio)
- [manual LMS extraction](/Competitors/manual_LMS_extraction)
- [double-grading coursework](/Competitors/double-grading_coursework)
**Differentiator2x2**: format-agnostic across all artifacts and driven by autonomous parsing

## Startup Solution Coordinate

**Solution**: [Retraga Artifact Vault](/Services/Retraga_Artifact_Vault)

## Startup Offer

**Proof**:
- Department Chairs aim to secure 100% of required outcome artifacts without sending faculty follow-up emails.
- Engineering instructors target reclaiming 15-20 hours per semester by eliminating double-grading.
- Assessment Coordinators aim to reduce accreditation cycle preparation from months of manual spreadsheet collation to hours of review.
**Tiers**:
- Name: Standard Artifact Extraction · Price: ~$150–$250 per course mapped · Inclusions: Extraction and ABET mapping of high, average, and low student artifacts from standard digital formats (text, PDF, standard code repositories). Includes automatic student anonymization and baseline proficiency alignment.
- Name: Complex Multimodal Extraction · Price: ~$350–$550 per course mapped · Inclusions: Adds ingestion of unstructured and complex engineering formats, including handwritten exam scans, proprietary CAD drawings, and Jupyter notebooks. Designed to handle up to 200 artifacts per course without requiring standardized faculty rubrics.
**Guarantee**: Retraga guarantees the autonomous extraction and alignment of your selected course artifacts to specified ABET criteria; if a course mapping fails to match a human coordinator's baseline accuracy, we will manually evaluate and map the remaining course artifacts at no cost.
**Business Function**: ProvideService
**Objection Handlers**:
- Our faculty refuse to standardize their grading rubrics for software. -> Retraga evaluates the raw student work directly against ABET standards, allowing professors to maintain their individual grading structures without modification.
- Most of our student evidence is trapped in handwritten, physical exams. -> The extraction pipeline utilizes multimodal vision models specifically designed to parse and interpret scanned, handwritten engineering and mathematical work.
- Student privacy regulations prevent us from sharing raw assignments with third parties. -> The system automatically redacts names, ID numbers, and identifiable metadata from every artifact before it processes the document for compliance mapping.
- We already pay for Canvas and Watermark Taskstream. -> Legacy systems still require faculty to manually extract question-level data; Retraga is designed to connect to your LMS and perform that extraction autonomously.
**Pricing Architecture**: UsageMeter
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Academic administrative register defined by strict, evidence-backed objectivity
**Tagline**: Converts unstructured student coursework into mapped ABET accreditation dossiers
**Icon Concept**: exam
**Palette Intent**: institutional-cool
**Visual Identity**: A disciplined palette of navy blue and archival slate grounds the identity, pairing crisp typographic hierarchy with structural motifs reminiscent of graded engineering exams.
**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**:
- One-semester pilot in a single Mechanical Engineering department: Successfully ingest 3,000 multimodal artifacts, including handwritten PDFs and CAD files, and map them to ABET criteria without requiring faculty rubric changes.
- 30-day retrospective data integration pilot parsing historical LMS data: Prove the autonomous extraction of question-level proficiency data matches or exceeds the accuracy of historical manual outcome mapping.
**Target Metrics**:
- target: 100% reduction in manual double-grading requirements for participating faculty
- aim: 10+ hours of administrative time reclaimed per instructor per semester
- target: <24-hour turnaround time to generate required high, average, and low performance artifact samples
- target: 0 personally identifiable data leaks across autonomously anonymized artifact submissions
**Target Case Studies**:
- Mid-sized Public Polytechnic Institute, Department Chair: Shift from manually double-grading thermodynamics exams and email-chasing faculty to autonomous ingestion of native, handwritten PDFs into a continuous ABET compliance dossier.
- Private Engineering College, Assessment Coordinator: Move from manually redacting and sorting student GitHub repositories and CAD drawings to automated extraction of high, average, and low performance samples mapped directly to ABET proficiencies.
- Community College Technical Program, LMS Administrator: Transition from manual Canvas question-level data extraction to an autonomous integration that isolates specific ABET proficiencies without forcing faculty to standardize their rubrics.
**Testimonial Targets**:
- Department Chair: Relief that the platform autonomously maps unstructured artifacts to ABET criteria without forcing faculty to standardize their diverse grading rubrics.
- Engineering Faculty Member: Appreciation that they no longer have to double-grade complex exams or manually redact student names from submitted PDFs.
- Assessment Coordinator: Confidence in having export-ready, multi-year compliance dossiers generated continuously rather than manually compiling spreadsheets months before the accreditation visit.

## Startup Solution Stack

- [Artifact Alignment Service](/Services/Artifact_Alignment_Service) — Service-as-Software
- [Outcome Mapping Worker](/Agents/Outcome_Mapping_Worker) — Agent
- [Artifact Redaction Agent](/Agents/Artifact_Redaction_Agent) — Agent
- [Multimodal Parsing Engine](/Software/Multimodal_Parsing_Engine) — Software
- [LMS Integration API](/Software/LMS_Integration_API) — Software

## Startup Story Brand

**Hero**:
- **Need**: to be the strategic architect of program quality, not an administrative debt collector
- **Want**: to secure high, average, and low student artifacts for ABET accreditation reporting
- **Identity**: the assessment coordinator at a university engineering or architecture department
**Plan**:
- Step: Submit artifacts · Detail: Upload your raw exam scans, code repositories, or CAD files directly from your LMS or local drives.
- Step: Approve mappings · Detail: Review the autonomous alignment of individual assignment components to specific ABET student outcomes and performance indicators.
- Step: Generate reports · Detail: Download the formatted evidence dossiers and continuous improvement data required for your self-study and accreditation visit.
**Guide**:
- **Empathy**: You shouldn't still be drowning in spreadsheet outcome mapping. Watermark Taskstream wasn't built to parse the unstructured CAD drawings and code repositories your students actually produce.
**Problem**:
- **Villain**: manual double-grading
- **External**: Assessment evidence remains trapped in Canvas LMS, GitHub repositories, and handwritten exam PDFs that require hours of manual extraction to map to ABET criteria.
- **Internal**: You feel like a nag chasing faculty via email for PDFs they've already graded once.
- **Philosophical**: Why should engineering professors accept clerical data entry when their expertise belongs in the classroom?
**Success**: Your department maintains full compliance with multi-year performance data while faculty never have to double-grade a single assignment again.
**One Liner**: What if you could pull ABET evidence directly from raw student work? Retraga autonomously parses unstructured coursework into compliant accreditation reports, saving hundreds of faculty hours.
**Positioning**:
- **So That**: map unstructured coursework to accreditation criteria without manual data entry
- **Unlike**: Watermark Taskstream and manual spreadsheets
- **For Whom**: the assessment coordinator at engineering departments
- **Category**: Autonomous ABET compliance software
**Call To Action**:
- **Direct**: Map a course
- **Transitional**: ABET mapping sample
**Failure Stakes**:
- 15 hours lost per instructor per semester
- Unmet 2024-2025 multi-year data requirements
- Burnout from repetitive administrative email chasing
**Transformation**:
- **To**: one of the few coordinators who lead data-driven program improvements
- **From**: an assessment clerk extracting question-level LMS data
**Controlling Idea**: Accreditation data should be a byproduct of teaching, not a separate administrative burden.

## Neighborhood

### Competitors

- [Corsearch](/Competitors/Corsearch) — competes with · Competitors
- [Tracer](/Competitors/Tracer) — competes with · Competitors
- [DMCA.com](/Competitors/DMCA.com) — competes with · Competitors
- [Manual Takedowns](/Competitors/Manual_Takedowns) — competes with · Competitors
- [Red Points](/Competitors/Red_Points) — competes with · Competitors
- [BrandShield](/Competitors/BrandShield) — competes with · Competitors
- [double-grading coursework](/Competitors/double-grading_coursework) — competes with · Competitors
- [Anthology Portfolio](/Competitors/Anthology_Portfolio) — competes with · Competitors
- [Watermark Taskstream](/Competitors/Watermark_Taskstream) — competes with · Competitors
- [manual LMS extraction](/Competitors/manual_LMS_extraction) — competes with · Competitors
- [double-grading assignments](/Competitors/double-grading_assignments) — competes with · Competitors
- [AEFIS assessment platform](/Competitors/AEFIS_assessment_platform) — competes with · Competitors
- [Blackboard Learn](/Competitors/Blackboard_Learn) — competes with · Competitors
- [AEFIS Software](/Competitors/AEFIS_Software) — competes with · Competitors
- [manual double-grading](/Competitors/manual_double-grading) — competes with · Competitors
- [AEFIS](/Competitors/AEFIS) — competes with · Competitors
- [Canvas LMS](/Competitors/Canvas_LMS) — competes with · Competitors
- [spreadsheet outcome mapping](/Competitors/spreadsheet_outcome_mapping) — competes with · Competitors
- [manual spreadsheet mapping](/Competitors/manual_spreadsheet_mapping) — competes with · Competitors
- [manual question-level LMS extraction](/Competitors/manual_question-level_LMS_extraction) — competes with · Competitors
- [manual spreadsheet outcome mapping](/Competitors/manual_spreadsheet_outcome_mapping) — competes with · Competitors

### What it offers

- [Autonomous Takedown Agent](/Agents/Autonomous_Takedown_Agent) — offers · Agents
- [Retraga Outcome Dossier](/Services/Retraga_Outcome_Dossier) — offers · Services
- [Retraga Artifact Vault](/Services/Retraga_Artifact_Vault) — offers · Services

### Embodies

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

### Composed of

- [Artifact Alignment Service](/Services/Artifact_Alignment_Service) — composes · Services
- [Multimodal Parsing Engine](/Software/Multimodal_Parsing_Engine) — composes · Software
- [Outcome Mapping Worker](/Agents/Outcome_Mapping_Worker) — composes · Agents
- [Artifact Redaction Agent](/Agents/Artifact_Redaction_Agent) — composes · Agents
- [LMS Integration API](/Software/LMS_Integration_API) — composes · Software
- [Accreditation Dossier Service](/Services/Accreditation_Dossier_Service) — composes · Services
- [LMS Extraction API](/Software/LMS_Extraction_API) — composes · Software
- [Identity Redaction Worker](/Agents/Identity_Redaction_Worker) — composes · Agents
- [Criterion Mapping Agent](/Agents/Criterion_Mapping_Agent) — composes · Agents
- [Artifact Evaluation Agent](/Agents/Artifact_Evaluation_Agent) — composes · Agents

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