A safe platform for your campus

Typerighter.ai provides a secure, FERPA-aligned academic writing workspace for higher education.

  • 0%

    Public AI Training

    Zero data retention on all LLM inferences

  • 100%

    IP ownership

    Content remains theirs and university property.

  • 0

    Stored Passwords

    OAuth via Canvas and Brightspace

  • 12h

    RPO Target

    Point-in-time backups & disaster recovery

“Typerighter was created specifically for higher education. We hold ourselves to explicit, contractual commitments: student data is never sold, never advertised against, and never fed into public machine learning corpuses.”
Ahmad BoostaniCofounder & CEO
AI SAFETY AND PROTECTION COMPARISON

Why Typerighter is safe for students writing?

Compare how unvetted public consumer AI tools expose student intellectual property versus how Typerighter.ai’s zero retention architecture shields your campus.

Public consumer AI tools
(unsafe for campus)

  • Persistent Storage & Dataset Ingestion: Student essays are saved on commercial servers and indexed into global training corpuses.

  • Model Training Exposure: Sentences, research ideas, and personal details may be output to future users across the internet.

  • Third-Party Advertising & Profiling: Behavioral tracking cookies profile student activity for ad monetization.

  • FERPA & Copyright Vulnerabilities: Violates school official mandates and risks compromising student intellectual property.

Typerighter zero retention guarantee

  • 0 Byte AI Training: Writing is never passed to public LLM training pipelines or general machine learning corpuses.

  • Volatile RAM Processing Only: In-product assistance processes text briefly in memory via DeepInfra under a zero-retention contract.

  • LMS-Bound Security: Operates entirely through LTI 1.3 / OAuth 2.0 with your Canvas or Brightspace credentials.

  • 100% Institutional Ownership: Full FERPA alignment (34 CFR § 99.31) with complete student data deletion rights.

Designed for every higher education stakeholder

For professors, instructors, and teaching assistants

Built for classroom workflows

Give instructors AI writing support that stays inside the LMS, respects academic integrity policies, and never trains on student work.

  • Essays aren't scraped

    Student writing is processed in volatile memory with a strict zero-retention policy. External AI models will never learn from or replicate your students' original work.

  • Ethical writing analytics

    Typerighter logs writing progress and keystrokes to help verify authentic student authorship. This data is private to the course and never sold or shared.

  • Anonymized citations

    When students research sources via OpenAlex or Semantic Scholar, queries send only publication identifiers (DOIs) without student names or emails attached.

Policy Reference: Typerighter Data Privacy Policy § 4.1 (No Model Training) & § 3 (Keystroke Analytics)

View policy section
For provosts, deans, and registrars

Campus-wide oversight and control

Deploy with institutional guardrails, usage visibility, and policies aligned to FERPA and your data governance requirements.

  • Designated "school official"

    Typerighter operates strictly under institutional direction as a school official with a legitimate educational interest under FERPA.

  • Zero data monetization

    We strictly forbid selling student data, building advertising profiles, or displaying third-party ads. Student content remains 100% university property.

  • Contract end deletion

    Upon contract completion, student and institutional data is exported or permanently deleted according to your university's schedule.

For chief information officers, CISOs, & IT procurement committees

Enterprise-grade security by default

Integrate via LTI 1.3 and OAuth, enforce zero-retention inference, and keep student data under your security team's standards.

  • LTI 1.3 / OAuth 2.0 integration

    Delegates end-user authentication to your LMS (Canvas, D2L, Blackboard). Typerighter never collects, handles, or stores end-user passwords.

  • TLS 1.3 & AES-256 encryption

    Data is encrypted in transit (TLS) and at rest within Supabase/AWS. Application secrets and service keys are restricted server-side.

  • Zero-retention inference

    DeepInfra AI processing executes in RAM with zero persistent disk logging. RTO and RPO disaster recovery objectives set at ≤12 hours.