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Archistar

archistar.ai
◐Moderate Risk
Updated August 19, 2026

Archistar is an AI-driven site research, 3D generative design and plan-review platform serving property developers, planners and — prominently — local governments and municipalities (its AI PreCheck / eCheck product). The consumer-facing documents (Website & Platform Agreement, API Zoning Database Terms, and a Privacy Policy last updated 10 September 2025) are reasonably clear on data ownership (user retains uploaded plans), no-sale of personal information, and provide access/deletion and opt-out mechanisms. However, the terms are strongly vendor-favorable on liability (capped at the lesser of A$10,000 or two years' fees), impose broad indemnities, and the documents are largely silent on formal security certifications (SOC 2, ISO 27001), model explainability, and AI-specific governance frameworks despite the product being AI-first. Notably, the API Terms prohibit the Subscriber from using the Zoning Database to train AI models — a restriction on the user, not a commitment about Archistar's own training practices. For regulated government buyers, the absence of named certifications (the referenced trust center at trust.archistar.ai was inaccessible) and no accessible DPA/MSA is a material gap warranting contractual review before use with sensitive data.

AI Transparency Facts

Independent analysis by TermsWatchdog · © 2026 TermsWatchdog

Input Data Ownership

Low Risk

The Privacy Policy expressly disclaims ownership of the plans and information users upload to the platform, treating the user as the party controlling and sharing that content. This is a user-favorable position on input ownership.

Confidence
80%

Output Data Ownership

Moderate Risk

The documents do not clearly assign ownership of AI-generated outputs (e.g., pass/fail reports, generative design results). The API Terms state Archistar remains sole owner of the Zoning Database, API and Flat-files, and that outputs are unverified and must not be relied upon as advice, but the Website/Platform Agreement is silent on who owns generated design or report outputs.

Confidence
45%

Training Data Usage

Moderate Risk

The API Terms restrict the Subscriber from using the Zoning Database to train AI/ML models, but the documents do not make a clear commitment about whether Archistar itself uses user-uploaded plans to train its own models. The Privacy Policy states it may use personal information to 'improve our products and services' and to 'conduct research,' and says it does not collect personal information contained within uploaded plans — but is otherwise silent on training on non-personal plan content.

Confidence
50%

Data Retention & Deletion

Moderate Risk

The Privacy Policy provides self-serve download/delete functionality within the platform and commits to acting on off-platform deletion requests within a reasonable time, but retention is described only generally ('as long as is necessary or as required by law') with no fixed schedule or deletion SLA. The API Terms impose strict destruction/return obligations on the Subscriber on termination. No security-specific retention (e.g., audit log) commitments are disclosed.

Confidence
65%

Third-Party Data Sharing

Moderate Risk

Archistar explicitly states it will not sell personal information, and much disclosure (to councils/municipalities) is integral to the service the user signed up for. However, the Privacy Policy lists a broad range of recipients — related bodies corporate, service providers, insurers, and anyone acquiring the business — and permits overseas transfers, so disclosure is wide though disclosed. Sharing generally requires user instruction for uploaded plans.

Confidence
70%

Opt-Out Rights

Low Risk

The Privacy Policy provides clear opt-out and consent-withdrawal mechanisms: marketing unsubscribe, a general right to withdraw consent by contacting the Privacy Officer, Google Analytics opt-out, and CCPA opt-out of sale rights. These are meaningful, though withdrawing consent may limit service access.

Confidence
78%

Compliance & Certifications

High Risk

As a govtech platform serving municipalities, no relevant compliance certifications (SOC 2, ISO 27001, FedRAMP, StateRAMP, NIST) are named in the accessible documents. The vendor claims general compliance with the Australian Privacy Act, PIPEDA and CCPA, and references GDPR-style rights for European residents, but provides no third-party attestations. The trust center (trust.archistar.ai) was inaccessible, so no certification evidence could be verified.

Confidence
60%

Model Explainability & Auditability

High Risk

Despite being an AI-first plan-review platform that issues 'pass/fail' compliance determinations affecting building permits, the accessible policy documents provide no transparency into model behavior, no explainability commitments, and no enterprise audit rights. The API Terms disclaim that outputs are human-reviewed and warn they must not be relied upon as advice.

Confidence
55%

Security Practices & Breach History

Moderate Risk

The documents disclose encryption in transit and at rest, 'industry standard security technologies,' geographically segregated data residency (AU/US/CA), and shared-responsibility user guidance. However, there is no mention of penetration testing, bug bounty, formal incident response, or breach history, and the referenced trust center was inaccessible. Security is described in general commercial terms with broad disclaimers.

Confidence
62%

Enterprise vs. Consumer Risk Delta

Moderate Risk

The Website/Platform Agreement notes that a signed written agreement (i.e., an enterprise contract) overrides the standard terms, and corporate accounts allow administrators to control and access users' accounts. This implies material differences may exist under negotiated enterprise/DPA terms, but no enterprise documents were accessible to confirm improved data handling on paid tiers.

Confidence
45%

Human Review of User Inputs

Moderate Risk

The API Terms state outputs are not reviewed by a human before delivery, and the Privacy Policy allows staff (technical support, programming, account support from Australia) to access personal information for support and monitoring. Transmissions are also 'routinely monitored.' There is no explicit statement about staff reading uploaded plan content, but access rights for support/quality purposes are reserved.

Confidence
58%

Regulatory & Litigation Exposure

Moderate Risk

The Privacy Policy discloses that personal information may be shared with government agencies, regulators, law enforcement, courts, and in response to subpoenas or legal documents. No current litigation or specific government data requests are disclosed. This is standard disclosure but signals cooperation with legal/law-enforcement demands.

Confidence
65%

PII & SPI Data Inventory

Moderate Risk

The Privacy Policy discloses a broad range of PII (name, contact details, DOB, employer, payment/bank/card details, IP address, device IDs, location, usage patterns, credentials) and notes it may collect sensitive information (health, racial/ethnic origin, political opinions, religious beliefs, criminal record) with consent where necessary. Collection is disclosed with stated purposes and it disclaims collecting personal information embedded in uploaded plans, warranting a moderate rating.

Confidence
72%

Policy–Product Currency

Moderate Risk

The Privacy Policy is dated 10 September 2025 — well within 12 months of the analysis date — but the API and Website/Platform Terms carry no discoverable effective date. While the Privacy Policy addresses platform data flows, SSO, cookies and overseas processing, it and the terms are largely silent on the AI/ML and generative model processing central to the shipped product (AI PreCheck's generative AI, computer vision and automated pass/fail compliance determinations). Coverage of the product's core AI capabilities is only partial, capping this at YELLOW.

Confidence
60%

Cross-Document Consistency

Low Risk

Three documents were supplied (API Zoning Database Terms, Privacy Policy, Website & Platform Agreement) and no material contradictions were identified. Provisions on data ownership, no-sale of data, deletion rights and jurisdiction are consistent across documents; the API Terms and Website Terms govern distinct products but are complementary rather than conflicting.

Confidence
62%

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