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Workflow & Automation · ontora.com

Ontora

Graded against 811 verified platforms, from its own policy text. Automated assessment against a published rubric — not legal advice.

Overall riskUNRATEDReviewed 2026-07-20
Benchmark

No lens is bandable yet — banding requires fully verified documents with on-criteria findings. The gap is shown honestly, never estimated.

0 verified findings0 policy surfaces1/1 core docs verified

Partially verified: Privacy Policy assessed. Everything below comes only from what was read in full.

Risk triage

No verified risks yet

AIRIN has not published verified findings for this record yet. The page shows the gap instead of guessing.

0
high
0
medium
0
low
1/1
docs
Trains on your data?
Not yet assessed
no verified finding covers this surface yet
Who owns outputs?
Not yet assessed
no verified finding covers this surface yet
Commercial use?
Not yet assessed
no verified finding covers this surface yet
Every rating:verbatim-citedsnapshot-datedchange-loggedHow we keep ratings honest →

How to read this page: Overall risk rates what Ontora's own policy terms mean for your prompts, outputs, and data. The benchmark bands below grade those same verified terms relative to peers — a platform in a risky-by-default category can rate HIGH risk and still grade STRONG against its peer set. Both trace to the cited findings.

Partially verifiedWorkflow & Automation

Partially verified — Privacy Policy — Verified (read in full, 0 findings). Findings below are from fully-read, verified documents only; remaining core documents are pending capture.

Why partial?

Terms not yet captured

AIRIN has not yet captured a gate-verified Terms of Service document for this platform.

Document status
  • Privacy Policy
    Verified - read in full - 0 citationsLast captured 2026-07-20
No verified evidence citations are published for this platform yet - its complete governing documents are not yet publicly capturable. We never publish citations from a document we have not read in full.

Clause intelligence

Canonical clauses and stance patterns extracted from the same gate-verified citations shown on this page.

32
clauses
6
patterns
6
stances
privacy sharing · 4training use · 2
privacy sharingHIGHPrivacy Policy › “With your consent or at your direction”

The clause permits sale of personal data or information.

To comply with applicable laws, legal processes, or government requests, while challenging overbroad requests where appropriate To protect the rights, property, or safety of Ontora, our users, or others In connection with a merger, acquisition, financing, or sale of assets, in which case we will provide notice before personal information becomes subject to a different privacy policy We do not sell your personal in...
Open source citation
privacy sharingHIGH§ 13 (Do Not Sell or Share My Personal Information)

The clause permits sale of personal data or information.

We do not sell your personal information for monetary value. If you would like to opt out of any “sharing” (as defined by the CCPA) for cross-context behavioral advertising or analytics, email privacy@ontora.com . We honor recognized opt-out preference signals (such as the Global Privacy Control) where required by law.
Open source citation
privacy sharingMEDIUM§ 6 (Categories of Personal Information (California))

The clause permits disclosure or sharing with third parties, affiliates, vendors, or subprocessors.

For California residents, we have collected the following categories of personal information in the past 12 months. We collect each category from you directly, from your device, or from third-party integrations you authorize, and we disclose each category to our service providers as listed in Section 7.
Open source citation
privacy sharingMEDIUM§ 7

The clause permits disclosure or sharing with third parties, affiliates, vendors, or subprocessors.

We share information with service providers (“subprocessors”) that help us operate the Services under written contracts requiring confidentiality, security, and processing only on documented instructions. We use service providers in the following categories: Cloud infrastructure and hosting — frontend hosting, backend application platforms, and the underlying cloud compute, networking, and storage that runs the Se...
Open source citation
training useLOWPrivacy Policy › “Monitor and analyze usage and trends”

The clause says submitted content is not used for model training or model/service improvement.

Detect, prevent, and investigate fraud, abuse, security incidents, and violations of our terms Comply with legal obligations, respond to lawful requests, and enforce our agreements We do not use your content to train foundation models for our own benefit or for the benefit of our AI subprocessors. Our AI subprocessors are contractually prohibited from training models on your content (see Section 8).
Open source citation

Tier matrix

Plan-level conditions detected from citation-backed clauses. Empty tiers mean AIRIN has not captured decisive tier language yet.

TierSurfaceVerdictRiskCitations
All applicable tiersprivacy data useworsensHIGH2
All applicable tierstraining useconditionalMEDIUM2
Apitraining useimprovesLOW1
Governmentprivacy data useworsensHIGH1

Policy evolution

Open full timeline

Before/after stance changes across captured policy versions. When no material delta exists yet, AIRIN shows the latest citation-backed stance events instead.

Jul 20, 2026data sharingMEDIUM

Latest stance: third party or vendor sharing on privacy data use

For California residents, we have collected the following categories of personal information in the past 12 months. We collect each category from you directly, from your device, or from third-party integrations you authorize, and we disclose each category to our service providers as listed in Section 7.
Open timeline citation
Jul 20, 2026data sharingMEDIUM

Latest stance: third party or vendor sharing on training use

We share information with service providers (“subprocessors”) that help us operate the Services under written contracts requiring confidentiality, security, and processing only on documented instructions. We use service providers in the following categories: Cloud infrastructure and hosting — frontend hosting, backend application platforms, and the underlying cloud compute, networking, and storage that runs the Services Databases and storage — managed relational database, file storage, and managed knowledge graph Authentication and identity — user authentication, session management, and organization management AI and machine learning providers — large language models, embeddings, speech-to-text transcription, and text-to-speech synthesis used to generate AI outputs from your content Third-party integration connectors — OAuth and data-sync infrastructure for the third-party sources you authorize (e.g., email, document, and CRM platforms) Communications — transactional email delivery for account notices, invitations, and product communications Analytics and product measurement — product usage analytics and web analytics for our marketing site
Open timeline citation
Jul 20, 2026data sharingHIGH

Latest stance: sale or sell on privacy data use

To comply with applicable laws, legal processes, or government requests, while challenging overbroad requests where appropriate To protect the rights, property, or safety of Ontora, our users, or others In connection with a merger, acquisition, financing, or sale of assets, in which case we will provide notice before personal information becomes subject to a different privacy policy We do not sell your personal information in exchange for monetary consideration. Limited disclosures to analytics providers may constitute “sharing” under the CCPA/CPRA. You may opt out as described in Section 13.
Open timeline citation
Jul 20, 2026data sharingHIGH

Latest stance: sale or sell on privacy data use

We do not sell your personal information for monetary value. If you would like to opt out of any “sharing” (as defined by the CCPA) for cross-context behavioral advertising or analytics, email privacy@ontora.com . We honor recognized opt-out preference signals (such as the Global Privacy Control) where required by law.
Open timeline citation
Jul 20, 2026model trainingLOW

Latest stance: no training claim on training use

Detect, prevent, and investigate fraud, abuse, security incidents, and violations of our terms Comply with legal obligations, respond to lawful requests, and enforce our agreements We do not use your content to train foundation models for our own benefit or for the benefit of our AI subprocessors. Our AI subprocessors are contractually prohibited from training models on your content (see Section 8).
Open timeline citation
Jul 20, 2026model trainingLOW

Latest stance: no training claim on training use

Not use your content to train, fine-tune, or evaluate their models (zero-retention or short-retention API tiers are used where available)
Open timeline citation

Capture recency

  • Privacy Policy:Last captured 2026-07-20· verified 2026-07-20verified once — not yet re-verified

Dates state when our pipeline captured and verified each document — not when the vendor last changed it. Documents are re-scanned on a recurring cadence; a document verified once says so until a re-scan confirms it again.

32 findings first captured First scan: July 2026.

Claim this profile

Compare and stack are saved in your browser. Open compare · View your stack. A correction triggers an automated re-read of Ontora's policies — no human edits the data.

Need this for procurement or legal diligence?

Free shows today's risk. A Stack Audit gives you a citable, verbatim-sourced PDF across your whole AI stack — and flags the moment a vendor's terms change.

Know where the missing document lives?

We haven't yet verified Ontora's Terms of Service. Point us at the official page and our pipeline will attempt to capture and read it in full. Submissions are candidates only — nothing is published until it passes the same verification gates as every other document on this site.

Every finding above is a verbatim quote from Ontora's own published policy, captured to an immutable snapshot and read in full through a two-gate verification pipeline. Confidence labels and any analysis are AI-generated and informational only — not legal advice.

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