Anrie

Description Permissions Security & Compliance

Anrie is an AI performance marketing coworker that helps companies run their campaigns more effectively and easily across paid marketing channels such as Meta, Instagram, TikTok, and Google Ads.Anrie can be invited into Slack conversations to understand the context, follow key discussions, and help turn them into clear next steps and useful marketing outputs—such as checking ad campaign performance, analyzing competitors, researching the market, creating reports, answering questions, and providing recommendations for your advertising campaigns.Anrie connects with the tools your team already uses, bringing campaign data, insights, and context into one place so it’s easier to manage performance marketing and stay on top of what matters.Anrie can handle routine, repeatable work on its own—like creating reports, checking advertising campaign performance, and scanning competitors—while keeping your team in control of higher-impact decisions and actions that require approval.AI Disclaimer: Anrie is powered by AI and can generate inaccurate outputs. Check AI-generated content before acting. Anrie asks for approval before running high-impact actions in your workspace.Pricing: Free to start ($100 in credits per workspace). Paid credits top-up from $100/workspace. https://www.anrie.ai/pricing

Anrie will be able to view:

Anrie will be able to do:

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General

Privacy & data governance

Data retention policy

We retain Customer Data only as long as needed to provide Anrie, meet contractual obligations, and comply with law. Account/workspace/connection data (Slack workspace + user identity, the Slack bot token, connected ad-account references and settings) is retained for the life of the installation. To give the Anrie agent context, Slack conversation history for channels the bot participates in is stored (per-customer history files plus a BigQuery communications ledger) as customer content. Temporary uploads/caches expire automatically (≈7–90 days). On uninstall, account closure, or a validated deletion request, we delete Customer Data — including stored Slack history and the ledger — from production within ~30 days; encrypted backups age out within ~14 days (7-day PITR + 14 retained daily backups). We do not use Customer Data for advertising and do not train our own or third-party foundation models on it.

Data archiving and removal policy

We maintain documented retention/disposal procedures for production systems, logs, and backups. Customer-initiated deletions trigger removal/anonymization of associated Customer Data and de-provisioning of credentials (including OAuth-token revocation). Backups are encrypted, used only for business continuity, and purged at the end of their retention period. The deletion procedure covers PostgreSQL, Cloud Storage, the Slack-history volume, and the BigQuery communications ledger.

Data storage policy

Customer Data is stored in encrypted Google Cloud managed services in the EU: Cloud SQL (PostgreSQL), BigQuery (analytics/communications ledger), Cloud Storage (assets/outputs), and Filestore (agent workspace + Slack history). Encrypted in transit (TLS 1.2+/1.3; DB connections require TLS) and at rest (AES-256, Google-managed keys). Access restricted via a private VPC with private DB IPs, least-privilege IAM, secrets in GCP Secret Manager, and Cloudflare Access on admin surfaces.

Data center location(s)

Belgium

Data hosting details

Cloud-hosted, multi-tenant SaaS on Google Cloud Platform (private GKE cluster in a private VPC; no public node IPs; egress via Cloud NAT). Public web + Slack-ingress traffic is fronted by Cloudflare (TLS, CDN, WAF/DDoS). Databases are reachable only over private IP from authenticated services.

Data hosting company

Google Cloud Platform (GCP); Cloudflare (DNS/edge/TLS/WAF).

App/service has sub-processors

yes

Guidelines for sub-processors

https://anrie.ai/subprocessors

App/service uses large language models (LLM)

yes

LLM model(s) used

Anthropic Claude (e.g. claude-opus-4-8 / claude-sonnet-4-6) powers the core agent, served via Google Vertex AI. On the creative-generation path: OpenAI (GPT-5.x), Google Gemini, xAI Grok, Fal.ai, ElevenLabs, Hedra, and HeyGen.

LLM retention settings

LLM processing runs on enterprise, multi-tenant model endpoints (Vertex AI / Anthropic); customer prompts and outputs are logically segregated by authentication scopes, project, and customer identifiers.

LLM data tenancy policy

Prompts/outputs are stored only as long as needed for product functionality (conversation context, previous drafts) under our general data-retention policy. Our LLM providers are under contractual no-training / zero-(or limited-)retention terms.

LLM data residency policy

Agent LLM reasoning is served via Google Vertex AI in a multi-region (global) configuration, so prompts/context may be processed outside the EU under our Google Cloud agreement (SCCs where applicable). Data at rest is stored in the EU (europe-west1).

Certifications & compliance

Security