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Workflow & Automation · raycaster.ai

Raycaster

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

Overall riskUNRATEDReviewed 2026-08-31
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 Raycaster'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 citationsstaticLast captured 2026-08-31
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.

37
clauses
6
patterns
6
stances
training use · 4privacy sharing · 2
privacy sharingHIGH§ 3 (Disclosure and AI Service Providers)

The clause permits sale of personal data or information.

We do not sell Customer Content or personal information. We may disclose information in the following circumstances:
Open source citation
privacy sharingHIGH§ 3 (Disclosure and AI Service Providers)

The clause permits sale of personal data or information.

We do not sell Customer Content or personal information. We may disclose information in the following circumstances:
Open source citation
training useLOW§ 2.1 (Model training)

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

Raycaster does not use Customer Content to train or fine-tune generalized foundation models. Unless you explicitly opt out in the Service settings (or an applicable written agreement provides otherwise), we may use anonymized, de-identified, or aggregated information derived from Service usage, and create derivative works from that anonymized information, as described in our Terms and Conditions. Those materials w...
Open source citation
training useLOW§ 2.2 (Google user data)

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

Our use and transfer of information received from Google APIs adheres to the Google API Services User Data Policy, including its Limited Use requirements. Google user data is used only to provide or improve the user-facing integration features you enable and is not used to develop, improve, or train generalized AI or machine-learning models.
Open source citation
training useLOW§ 2.1 (Model training)

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

Raycaster does not use Customer Content to train or fine-tune generalized foundation models. We may use aggregated or de-identified operational information, diagnostics, and feedback to improve the Service, provided that this information does not identify you or disclose Customer Content.
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 useimprovesLOW2
Apitraining useimprovesLOW2

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.

Aug 31, 2026data sharingHIGH

Latest stance: sale or sell on privacy data use

We do not sell Customer Content or personal information. We may disclose information in the following circumstances:
Open timeline citation
Aug 31, 2026model trainingLOW

Latest stance: no training claim on training use

Raycaster does not use Customer Content to train or fine-tune generalized foundation models. Unless you explicitly opt out in the Service settings (or an applicable written agreement provides otherwise), we may use anonymized, de-identified, or aggregated information derived from Service usage, and create derivative works from that anonymized information, as described in our Terms and Conditions. Those materials will not identify you, your organization, or disclose your raw Customer Content.
Open timeline citation
Aug 31, 2026model trainingLOW

Latest stance: no training claim on training use

Our use and transfer of information received from Google APIs adheres to the Google API Services User Data Policy, including its Limited Use requirements. Google user data is used only to provide or improve the user-facing integration features you enable and is not used to develop, improve, or train generalized AI or machine-learning models.
Open timeline citation
Jul 20, 2026data sharingHIGH

Latest stance: sale or sell on privacy data use

We do not sell Customer Content or personal information. We may disclose information in the following circumstances:
Open timeline citation
Jul 20, 2026model trainingLOW

Latest stance: no training claim on training use

Raycaster does not use Customer Content to train or fine-tune generalized foundation models. We may use aggregated or de-identified operational information, diagnostics, and feedback to improve the Service, provided that this information does not identify you or disclose Customer Content.
Open timeline citation
Jul 20, 2026model trainingLOW

Latest stance: no training claim on training use

Our use and transfer of information received from Google APIs adheres to the Google API Services User Data Policy, including its Limited Use requirements. Google user data is used only to provide or improve the user-facing integration features you enable and is not used to develop, improve, or train generalized AI or machine-learning models.
Open timeline citation

Capture recency

  • Privacy Policy:Last captured 2026-08-31· verified 2026-08-31

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.

37 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 Raycaster'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 Raycaster'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 Raycaster'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.

📢 POLICY UPDATES ALERT

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