# Turnintegrity

*/Startups/Turnintegrity*

## Startup Overview

This digital forensics engine validates authorship by reconstructing the entire writing process. Rather than scanning final text for matching patterns, it captures keystroke dynamics, backspaces, paste events, and editing metadata throughout the document's creation. Educators receive a deterministic playback of the drafting session, proving exactly how the text was constructed over time.

Academic institutions and instructors currently rely on probability-based detection to catch unoriginal text, a method that frequently yields false positives and penalizes genuine effort. Students need a way to mathematically prove their authorship, while graders require absolute certainty before issuing academic penalties. By shifting the focus from the finished product to the creation timeline, the system eliminates the ambiguity of modern cheating methods.

Legacy scanners like Turnitin Originality and Copyleaks rely on statistical guessing games that degrade with every new language model release. Instead of fighting an unwinnable arms race of text classification, this approach provides fully deterministic authorship attribution. Embedded natively into existing grading workflows, it allows instructors to evaluate the irrefutable evidence of a student's effort directly alongside their rubric.

## Startup Founding Hypothesis

**Approach**: that reconstructs writing sessions using keystroke and editing metadata
**Competitors**:
- [Turnitin Originality](/Competitors/Turnitin_Originality)
- [Copyleaks](/Competitors/Copyleaks)
- [Traditional plagiarism scanners](/Competitors/Traditional_plagiarism_scanners)
**Differentiator2x2**: fully deterministic in authorship attribution and natively embedded in the grading workflow

## Startup Solution Coordinate

**Solution**: [Authorship Reconstruction Engine](/Software/Authorship_Reconstruction_Engine)

## Startup Position2x2

```mermaid
quadrantChart
  title Turnintegrity Positioning
  x-axis Standalone Scanner --> Embedded Grading Workflow
  y-axis Probabilistic AI Detection --> Deterministic Attribution
  Traditional plagiarism scanners: [0.15, 0.15]
  Copyleaks: [0.35, 0.30]
  Turnitin Originality: [0.85, 0.25]
  Turnintegrity: [0.80, 0.90]
```

## Startup Offer

**Proof**:
- Targeting a 0% false-positive rate across university pilot programs
- Aiming to reduce grade-dispute resolution times for humanities professors by 80%
- Intending to seamlessly capture writing events across 100% of standard web-editor environments
**Tiers**:
- Name: Classroom License · Price: ~$40–$120/mo · Inclusions: Supports up to 150 active students, web-based writing session reconstruction, and basic deterministric authorship reports.
- Name: Department License · Price: ~$3,000–$8,500/yr · Inclusions: Supports up to 2,500 students, intended LMS LTI integration for Canvas/Blackboard, and aggregated grade-dispute analytics.
- Name: Campus Enterprise · Price: enterprise: ~$15k–$40k/yr · Inclusions: Unlimited students, full API access for university IT, campus-wide reporting dashboards, and dedicated onboarding support.
**Guarantee**: Guarantees deterministric attribution without statistical guessing; if an authorship report is successfully overturned due to a system error, the institution receives a full refund for that semester's license.
**Business Function**: ProvideService
**Objection Handlers**:
- Students write offline and paste it in -> The system flags bulk-pasting as non-verified unless the student links their external document history to authenticate the session.
- Keylogging is a major privacy violation -> The platform analyzes timing intervals, editing rhythms, and paste events strictly within the assignment editor, not cross-site keystrokes.
- It will add friction to the grading process -> Designed to embed natively into standard LMS grading views, surfacing the authorship score right next to the submitted text.
- Generative AI can mimic typing delays -> The metadata analysis evaluates structural editing patterns, backspaces, and revision flows that automated delay scripts cannot replicate.
**Pricing Architecture**: Tiered
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Clinical and authoritative, prioritizing forensic precision over punitive language.
**Tagline**: Verify student authorship by reconstructing the entire writing session.
**Icon Concept**: keyboard
**Palette Intent**: institutional-cool
**Visual Identity**: An institutional-cool palette of slate blue and grid-paper gray pairs with monospaced typography to evoke digital forensics and academic rigor.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: B2B → Academic Integrity Office → Course Instructor → Student
**Gtm Motion**: Direct outbound to academic integrity officers and instructional design leads to secure departmental pilots, expanding to campus-wide or district-wide site licenses driven by instructor demand for deterministic proof of student work.
**Agent Channel**: Intended for listing in LTI (Learning Tools Interoperability) registries and EdTech API catalogs, enabling automated grading agents to verify document authorship metadata before executing assessment workflows.
**Primary Channel**: Direct searches within LMS ecosystem directories (such as the Canvas App Center or Blackboard Partner Network) by instructional technologists seeking alternatives to probabilistic AI detectors.

## Startup Customer Journey

```mermaid
flowchart LR; A[LMS App Directory] --> B[Academic Integrity Officer]; B --> C[Classroom Pilot]; C --> D[Authorship Report]; D --> E[Course Instructor]; E --> F[LTI Integration]; F --> G[Department License]; G --> H[Campus Enterprise]
```

## 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 within a university freshman composition program: Aim to capture writing events across all student submissions and prove a 0% false-positive rate for academic dishonesty flags
- Eight-week pilot with a university academic integrity board: Aim to track grade-dispute escalations and prove an 80% reduction in time spent adjudicating appeals by utilizing deterministic editing metadata
**Target Metrics**:
- Target: 0% false-positive rate on academic dishonesty accusations during faculty grading
- Aim: 80% reduction in grade-dispute resolution times for university academic integrity committees
- Target: 100% verification of authorship for web-editor submissions without requiring cross-site keylogging
- Aim: 100% identification rate of undocumented bulk-paste events requiring external document history authentication
**Target Case Studies**:
- Mid-sized university humanities department: Target transformation from relying on statistical AI-detectors with high false-positive rates to utilizing deterministic web-based writing session reconstruction, eliminating subjective grade disputes
- Large state university Academic Integrity office: Target transformation of dispute resolution, shifting from prolonged student appeals to immediate, objective verification of editing rhythms and revision flows across thousands of students
- Independent high school AP English teacher: Target transformation of the grading workflow, replacing manual suspicion of bulk-pasted essays with automated, deterministic authorship reports embedded directly into the LMS grading view
**Testimonial Targets**:
- Humanities Professor: Seek sentiment expressing relief at replacing black-box AI-detection scores with transparent, playback-based session reconstruction to eliminate false accusations
- University IT Director: Seek sentiment validating the ease of LMS integration for Canvas/Blackboard and verifying that the platform maintains strict student privacy by avoiding cross-site keylogging
- Academic Integrity Officer: Seek sentiment confirming complete confidence in handling grade disputes because deterministic attribution data immediately proves or disproves authorship

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Major learning management systems or web browsers block the keystroke and metadata capture extensions due to strict privacy policy updates. · Mitigation Status: unmitigated
- Severity: high · Description: Students bypass the tracking mechanism using macro scripts or automated typing tools that mimic human keystrokes to input AI-generated text. · Mitigation Status: in-progress
- Severity: high · Description: School districts and universities block adoption due to FERPA compliance issues or student pushback against continuous surveillance. · Mitigation Status: unmitigated
- Severity: moderate · Description: Native integration into diverse legacy grading workflows requires heavy bespoke engineering per institution, stalling sales cycles. · Mitigation Status: in-progress

## Startup Competitors

- [Turnitin Originality](/Competitors/Turnitin_Originality) — Incumbent
- [Copyleaks](/Competitors/Copyleaks) — AI Scanner
- [Traditional Plagiarism Scanners](/Competitors/Traditional_Plagiarism_Scanners) — Status Quo
- [GPTZero AI Detector](/Competitors/GPTZero_AI_Detector) — Pattern Recognition
- [Manual Version History](/Competitors/Manual_Version_History) — DIY Workflow

## Startup Solution Stack

- [Submission Integrity Service](/Services/Submission_Integrity_Service) — Service-as-Software
- [Session Playback Agent](/Agents/Session_Playback_Agent) — Agent
- [Authorship Attribution Worker](/Agents/Authorship_Attribution_Worker) — Agent
- [Session Reconstruction Engine](/Software/Session_Reconstruction_Engine) — Software
- [Keystroke Telemetry SDK](/Software/Keystroke_Telemetry_SDK) — Software

## Startup Story Brand

**Hero**:
- **Need**: to be the academic integrity steward who relies on forensic proof, not software-generated suspicion
- **Want**: to verify student authorship without relying on statistical guessing or AI-detection probabilities
- **Identity**: the humanities professor at a research university
**Plan**:
- Step: Assign essay · Detail: Students write within your LMS editor or link their authenticated document history to the assignment.
- Step: Inspect metadata · Detail: View the reconstructed session timeline to see the actual evolution of the student's thoughts and revisions.
- Step: Grade with proof · Detail: Issue grades backed by a verified authorship score that distinguishes human labor from bulk-pasted AI text.
**Guide**:
- **Empathy**: When a student insists they wrote an essay that an AI detector flagged, you are stuck in a stalemate of 'he-said, she-said' without any physical evidence.
**Problem**:
- **Villain**: statistical probability
- **External**: AI-detection scores in Turnitin or Copyleaks trigger endless grade disputes because they cannot prove how a paper was written
- **Internal**: You feel like a suspicious prosecutor rather than a mentor when questioning a student's integrity
- **Philosophical**: Academic credit was built for the labor of writing, not the possession of a result.
**Success**: You grade with absolute confidence using forensic evidence of the student's writing process, reducing dispute resolution time by 80%.
**One Liner**: What if you could prove how an essay was written instead of guessing? Turnintegrity reconstructs writing sessions through keystroke metadata, providing deterministic authorship proof for every student submission.
**Positioning**:
- **So That**: verify academic integrity using deterministic writing-session metadata instead of probability.
- **Unlike**: Turnitin Originality or AI detectors
- **For Whom**: Humanities professors and department leads
- **Category**: Authorship verification for higher education
**Call To Action**:
- **Direct**: Purchase Classroom License
- **Transitional**: View Sample Authorship Report
**Failure Stakes**:
- Unresolvable grade disputes
- Erosion of academic standards
- False accusations against students
**Transformation**:
- **To**: the department's integrity authority
- **From**: a humanities professor trapped in 'he-said, she-said' plagiarism debates
**Controlling Idea**: Authorship is a verifiable process, not a statistical guess.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: What if you could prove how an essay was written instead of guessing? Turnintegrity reconstructs writing sessions through keystroke metadata, providing deterministic authorship proof for every student submission.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: 82dba6c5b8d7ca74

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Authorship verification for higher education for Humanities professors and department leads. Unlike Turnitin Originality or AI detectors — verify academic integrity using deterministic writing-session metadata instead of probability..
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: d4edd72fbc29a453

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: AI-detection scores in Turnitin or Copyleaks trigger endless grade disputes because they cannot prove how a paper was written
Solution: What if you could prove how an essay was written instead of guessing? Turnintegrity reconstructs writing sessions through keystroke metadata, providing deterministic authorship proof for every student submission.
Customer: Humanities professors and department leads
Unlike: Turnitin Originality or AI detectors
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: 528343232b2a2531

## Startup Token M E D D P I C C

**Pain**: AI-detection scores in Turnitin or Copyleaks trigger endless grade disputes because they cannot prove how a paper was written
**Metrics**: Target: You grade with absolute confidence using forensic evidence of the student's writing process, reducing dispute resolution time by 80%.
**Rendered**: Pain: AI-detection scores in Turnitin or Copyleaks trigger endless grade disputes because they cannot prove how a paper was written
Economic buyer: Academic Integrity Office
Metrics: Target: You grade with absolute confidence using forensic evidence of the student's writing process, reducing dispute resolution time by 80%.
Competition: Turnitin Originality or AI detectors
**Mechanism**: spine-derived-v1
**Competition**: Turnitin Originality or AI detectors
**Economic Buyer**: Academic Integrity Office
**Vocab Fingerprint**: 45fb160f8a582b04

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Authorship verification for higher education for Humanities professors and department leads

Humanities professors and department leads — AI-detection scores in Turnitin or Copyleaks trigger endless grade disputes because they cannot prove how a paper was written What if you could prove how an essay was written instead of guessing? Turnintegrity reconstructs writing sessions through keystroke metadata, providing deterministic authorship proof for every student submission.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: 77fc98ac7559c8e1

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Authorship verification for higher education. What if you could prove how an essay was written instead of guessing? Turnintegrity reconstructs writing sessions through keystroke metadata, providing deterministic authorship proof for every student submission. Serves Humanities professors and department leads.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: 74c319980ed05e89

## Neighborhood

### Candidate solutions

- [API Integration Drop-Off](/Problems/API_Integration_Drop-Off) — candidate solution for · Problems

### Composed of

- [Async Delivery Service](/Services/Async_Delivery_Service) — composes · Services
- [Orchestration Wrapper SDK](/Software/Orchestration_Wrapper_SDK) — composes · Software
- [Extraction Orchestration Service](/Services/Extraction_Orchestration_Service) — composes · Services
- [Asynchronous Polling Agent](/Agents/Asynchronous_Polling_Agent) — composes · Agents
- [Limit Backoff Worker](/Agents/Limit_Backoff_Worker) — composes · Agents
- [Payload Webhook API](/Software/Payload_Webhook_API) — composes · Software
- [DOM Traversal Worker](/Agents/DOM_Traversal_Worker) — composes · Agents
- [Headless Execution Engine](/Software/Headless_Execution_Engine) — composes · Software
- [Token Buffer API](/Software/Token_Buffer_API) — composes · Software
- [State Polling Agent](/Agents/State_Polling_Agent) — composes · Agents
- [Submission Integrity Service](/Services/Submission_Integrity_Service) — composes · Services
- [Keystroke Telemetry SDK](/Software/Keystroke_Telemetry_SDK) — composes · Software
- [Session Playback Agent](/Agents/Session_Playback_Agent) — composes · Agents
- [Authorship Attribution Worker](/Agents/Authorship_Attribution_Worker) — composes · Agents
- [Session Reconstruction Engine](/Software/Session_Reconstruction_Engine) — composes · Software

### Embodies

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

### What it offers

- [Payload Conduit](/Agents/Payload_Conduit) — offers · Agents
- [Authorship Reconstruction Engine](/Software/Authorship_Reconstruction_Engine) — offers · Software

### Competitors

- [Manual Polling Wrappers](/Competitors/Manual_Polling_Wrappers) — competes with · Competitors
- [Playwright Automation Libraries](/Competitors/Playwright_Automation_Libraries) — competes with · Competitors
- [Hardcoded Parsing Scripts](/Competitors/Hardcoded_Parsing_Scripts) — competes with · Competitors
- [Puppeteer Headless Clusters](/Competitors/Puppeteer_Headless_Clusters) — competes with · Competitors
- [Puppeteer Headless Browser](/Competitors/Puppeteer_Headless_Browser) — competes with · Competitors
- [Hardcoded Scraping Scripts](/Competitors/Hardcoded_Scraping_Scripts) — competes with · Competitors
- [Playwright Automation Clusters](/Competitors/Playwright_Automation_Clusters) — competes with · Competitors
- [Puppeteer](/Competitors/Puppeteer) — competes with · Competitors
- [Playwright](/Competitors/Playwright) — competes with · Competitors
- [Beautiful Soup](/Competitors/Beautiful_Soup) — competes with · Competitors
- [Apify](/Competitors/Apify) — competes with · Competitors
- [Puppeteer Headless Browsers](/Competitors/Puppeteer_Headless_Browsers) — competes with · Competitors
- [Playwright Automation Scripts](/Competitors/Playwright_Automation_Scripts) — competes with · Competitors
- [Beautiful Soup Parsers](/Competitors/Beautiful_Soup_Parsers) — competes with · Competitors
- [Playwright Automation Library](/Competitors/Playwright_Automation_Library) — competes with · Competitors
- [Playwright Libraries](/Competitors/Playwright_Libraries) — competes with · Competitors
- [Puppeteer Clusters](/Competitors/Puppeteer_Clusters) — competes with · Competitors
- [Hardcoded Polling Loops](/Competitors/Hardcoded_Polling_Loops) — competes with · Competitors
- [Custom Scraping Scripts](/Competitors/Custom_Scraping_Scripts) — competes with · Competitors
- [Self-Hosted Playwright Clusters](/Competitors/Self-Hosted_Playwright_Clusters) — competes with · Competitors
- [Synchronous Scraping APIs](/Competitors/Synchronous_Scraping_APIs) — competes with · Competitors
- [Hardcoded Polling Scripts](/Competitors/Hardcoded_Polling_Scripts) — competes with · Competitors
- [Playwright automation](/Competitors/Playwright_automation) — competes with · Competitors
- [Self-Hosted Puppeteer Clusters](/Competitors/Self-Hosted_Puppeteer_Clusters) — competes with · Competitors
- [Manual Webhook Polling](/Competitors/Manual_Webhook_Polling) — competes with · Competitors
- [Self-Hosted Scraping Clusters](/Competitors/Self-Hosted_Scraping_Clusters) — competes with · Competitors
- [custom polling wrappers](/Competitors/custom_polling_wrappers) — competes with · Competitors
- [Hardcoded Playwright Scripts](/Competitors/Hardcoded_Playwright_Scripts) — competes with · Competitors
- [Synchronous API Wrappers](/Competitors/Synchronous_API_Wrappers) — competes with · Competitors
- [Manual Polling Scripts](/Competitors/Manual_Polling_Scripts) — competes with · Competitors
- [self-hosted browser clusters](/Competitors/self-hosted_browser_clusters) — competes with · Competitors
- [Synchronous Scraping Endpoints](/Competitors/Synchronous_Scraping_Endpoints) — competes with · Competitors
- [Synchronous Playwright Wrappers](/Competitors/Synchronous_Playwright_Wrappers) — competes with · Competitors
- [Playwright Clusters](/Competitors/Playwright_Clusters) — competes with · Competitors
- [Self-Hosted Puppeteer](/Competitors/Self-Hosted_Puppeteer) — competes with · Competitors
- [Playwright Scripts](/Competitors/Playwright_Scripts) — competes with · Competitors
- [Playwright Scraping Scripts](/Competitors/Playwright_Scraping_Scripts) — competes with · Competitors
- [Synchronous Extraction APIs](/Competitors/Synchronous_Extraction_APIs) — competes with · Competitors
- [Synchronous Apify Endpoints](/Competitors/Synchronous_Apify_Endpoints) — competes with · Competitors
- [Manual Version History](/Competitors/Manual_Version_History) — competes with · Competitors
- [Traditional Plagiarism Scanners](/Competitors/Traditional_Plagiarism_Scanners) — competes with · Competitors
- [GPTZero AI Detector](/Competitors/GPTZero_AI_Detector) — competes with · Competitors
- [Turnitin Originality](/Competitors/Turnitin_Originality) — competes with · Competitors
- [Copyleaks](/Competitors/Copyleaks) — competes with · Competitors

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