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Acti

acti.ai
◐Moderate Risk
Updated October 24, 2026

ACTi (Actualized Intelligence, LLC) operates a B2B AI platform of conversational 'ACTi Beings.' The main Privacy Notice is unusually strong for an AI product: it explicitly disclaims using user inputs for model training, requires contractual no-training terms from AI providers, commits to zero-retention configurations where available, honors GPC signals, and provides broad data-subject rights. Input and output ownership rest clearly with the user. However, the Terms of Service contain aggressive IP-assignment language around 'Technology' and 'feedback' (perpetual, irrevocable, work-made-for-hire assignments), a very low liability cap ($25 floor), mandatory indemnification, and a fragmented family of sub-sites with inconsistent privacy practices — the marketing/masterclass pages involve Meta pixels, Hyros, and identity-resolution partners that sit uneasily beside the flagship 'we don't sell/share' promises. Two of the eight documents are expressly 'working drafts pending counsel review.' No SOC 2 / ISO certification is actually attested (only 'following recognized frameworks'), and the product is marketed into regulated verticals (legal, medical, finance) with persistent memory while discouraging rather than prohibiting PHI/PII submission. Suitable for general professional use with caution; regulated-industry use requires a negotiated enterprise agreement and DPA (which were not available).

AI Transparency Facts

Independent analysis by TermsWatchdog · © 2026 TermsWatchdog

Input Data Ownership

Low Risk

The Terms explicitly state the user retains ownership of submitted inputs ('Your Content'), with ACTi granted only a limited license to use it to provide the Services. ACTi expressly disclaims ownership merely because content is submitted.

Confidence
90%

Output Data Ownership

Moderate Risk

Users are permitted to use outputs for personal or business purposes, but the Terms do not grant clear ownership of outputs to the user — the right is framed as a conditional permission 'subject to' ACTi's rights in the underlying technology. This leaves output ownership ambiguous rather than vested in the user.

Confidence
75%

Training Data Usage

Low Risk

The Privacy Notice contains an unusually explicit no-training commitment covering conversational content, prompts, and uploaded documents, and extends it contractually to third-party AI providers. Any future change to train on identifiable content requires affirmative opt-in and would not apply retroactively.

Confidence
90%

Data Retention & Deletion

Moderate Risk

The policy describes retention by data type: private-Being conversational content is not retained beyond real-time delivery, input content is kept for the service relationship and deleted/returned on termination, and analytics data is de-identified or deleted within 13 months. Deletion rights are offered but no concrete deletion SLA (response timeframe) is given beyond 'the time required by law,' and no security/audit-log retention schedule is specified.

Confidence
78%

Third-Party Data Sharing

Moderate Risk

The flagship Privacy Notice limits sharing to service providers under no-own-use contracts, the corporate group, and legal recipients, and states personal information is never sold or traded for marketing. However, the masterclass/registration sub-site policies disclose sharing with Meta, Hyros, and unnamed 'advertising and identity resolution partners,' which is broader than the flagship promise and creates a materially different posture depending on which page a user lands on.

Confidence
70%

Opt-Out Rights

Low Risk

The policies provide multiple concrete opt-out mechanisms: consent withdrawal at any time, GPC signal honoring, cookie controls, SMS STOP/email unsubscribe for marketing, and standard data-subject rights. A future opt-out link is promised should selling/sharing ever begin.

Confidence
85%

Compliance & Certifications

Moderate Risk

The vendor references ISO 27001, the NIST Cybersecurity Framework, the EU AI Act, and the NIST AI RMF as frameworks it 'follows' or 'works to align with,' but names no third-party attestation, audit report, or certificate — these are claims of alignment, not certifications. No SOC 2, ISO 27018, or ISO 42001 is claimed despite the enterprise/legal positioning, and GDPR/CCPA are addressed through practices rather than formal attestation.

Confidence
70%

Model Explainability & Auditability

Moderate Risk

The policy provides a human-in-the-loop commitment for consequential decisions and offers users the ability to request information about the logic involved, which addresses explainability at a conversational level. However, there is no mention of enterprise audit logs, model documentation access, or formal auditability tooling for business customers.

Confidence
60%

Security Practices & Breach History

Moderate Risk

The policy discloses encryption at rest and in transit, access controls, network segmentation, least-privilege/zero-trust access, continuous monitoring, and separated data environments. No breach history is disclosed, and there is no reference to penetration testing, bug bounty, a trust center, or a formal security attestation; a referenced security docs page was inaccessible. Breach notification is promised 'as required by law.'

Confidence
72%

Enterprise vs. Consumer Risk Delta

Moderate Risk

The Terms distinguish free and paid access but describe no material difference in data handling between the tiers — the same Privacy Notice governs both. The notable delta is between the flagship product pages (strong privacy posture) and the separate marketing/masterclass registration pages (Meta pixel, Hyros, identity-resolution partners), rather than between free and paid product use.

Confidence
60%

Human Review of User Inputs

Low Risk

For private/client-facing Beings, conversations are not routinely reviewed by humans, and access is limited, purposeful, and logged. For marketing/sales Beings, recording and human review are clearly disclosed in advance, giving users notice of which mode they are in.

Confidence
82%

Regulatory & Litigation Exposure

Moderate Risk

The policy addresses legal/safety disclosure of data where required by law and references litigation holds affecting deletion, but discloses no actual litigation, government requests, or law-enforcement cooperation history. The Terms impose New Jersey governing law and exclusive NJ jurisdiction, and shift broad indemnification obligations onto the user.

Confidence
62%

PII & SPI Data Inventory

Moderate Risk

The vendor collects standard PII (name, email, phone, company/role, IP, approximate location, device and usage data) plus conversational content and uploaded documents that may contain anything users submit. Rather than prohibiting SPI, the policy only discourages submitting PHI and sensitive identifiers while acknowledging users may provide them — a concern given marketing into legal, medical, and finance verticals with persistent memory.

Confidence
72%

Policy–Product Currency

Low Risk

The governing documents are recent (Terms last updated August 13, 2026; Athena Terms August 25, 2026; the Privacy Notice variant August 27, 2026), well within 12 months of the October 2026 analysis date. They demonstrably cover the AI capabilities the product ships — conversational voice/text Beings, persistent contextual memory, third-party AI providers, and model-training practices — matching the product surface.

Confidence
80%

Cross-Document Consistency

High Risk

Eight documents were supplied across multiple sub-domains. They conflict materially on third-party sharing: the flagship Privacy Notice states sharing is limited and never for marketing, while the masterclass registration policies disclose Meta pixels, Hyros, and 'advertising and identity resolution partners.' Two documents are expressly labeled unfinished drafts, and retention periods differ (flagship 'service relationship'/13-month analytics vs. masterclass 'two years').

Confidence
80%

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