Zeely

Description Features Permissions Security & Compliance

Zeely is an AI marketing agent that joins your team where it already communicates. It picks up your brand, your audience, your campaigns, and your creative direction from what the team shares, and turns the questions raised in your discussions into research, ideas, and briefs, without anyone leaving the conversation.Zeely learns your context once and everyone in the channel works from it, so nobody re-explains the brand, the audience, or last quarter's decisions before every request. No starting from zero in a fresh AI chat, no hunting through docs, screenshots, and old threads to answer a question that came up two minutes ago.What your team can ask Zeely to do
• Break down a top-performing creative and come up with new variation ideas based on what already works
• Analyze social content, yours and your competitors', for formats, hooks, and trends worth adapting
• Research competitors, their positioning, and their pitch points
• Analyze the creative strategy behind your brand's ads and your competitors' using the Meta Ad Library
• Run deep voice-of-customer research and build a brand persona for each test
• Turn research into creative briefs
• Build test plans for new angles and audiences
• Write creative copy for static and video ads: hooks, headlines, scripts, and variants
• Summarize the results you share into an update the whole team can read
• Keep brand, product, and audience context reusable for everyone in the channelHow it works in Slack
• Add Zeely to the channels you want it in. It only works where you invite it
• Mention @Zeely in a channel to start a request the whole team can follow
• Answers appear right where the question was asked, in a thread under it, so anyone can read them and build on them
• Ask follow-ups in the same thread. Zeely keeps the thread's context
• Send Zeely a direct message for drafts you're not ready to share yet
• Long results come back as a file you can download and shareWho it's for
Growth teams, media buyers, creative strategists, designers, copywriters, founders, and operators who need faster marketing execution without losing context.Getting started: add Zeely to any channel, mention @Zeely, and ask your first question in plain language. No setup wizard, no prompt templates.Zeely uses AI and can produce inaccurate or incomplete responses, summaries, and other output. Review anything you plan to publish or act on.
The Zeely agent panel in Slack requires a paid Slack plan. On free Slack workspaces Zeely works by mention in a channel and by direct message.

Zeely will be able to view:

Zeely will be able to do:

Review the details to better understand this app’s security practices. To learn more about assessing apps for your workspace visit our Help Center.

General

Privacy & data governance

Data retention policy

Zeely retains Customer Data only as long as needed to operate the Creative Agent. Default retention periods apply automatically and require no action from the customer: processing queue up to 1 hour; short-term internal cache 3-10 minutes; model and runtime logs 30 days; snapshots of processed requests and files read from Slack 30 days; agent memory 90 days; request metadata 90 days. The Slack message transcript is never written to our database. Full detail is in our Privacy Policy, Section 7.

Data archiving and removal policy

Zeely does not create bulk exports, archives or backups of a customer's Slack workspace; operational backups cover only data already processed for specific requests. On account closure or a validated deletion request, data is removed from active production systems typically within approximately 30 days. Encrypted backups are retained for business continuity only and are purged as they age out on their normal rotation, currently approximately 35 days. Derived data such as indexes and embeddings is deleted or disassociated when the underlying data is deleted. Removing the app from a Slack workspace stops further data collection and deletes all of that workspace's data within 14 business days. Full detail is in our Privacy Policy, Sections 5.H and 7.

Data storage policy

Customer Data is stored with reputable cloud providers in U.S. regions. Encryption in transit uses TLS 1.2 or higher; encryption at rest uses AES-256 with cloud-provider key management, covering databases, object storage and logs. Access is controlled by role-based, least-privilege access, with audit logging and monitoring. The Slack message transcript is never written to our database; we retain only a temporary, automatically-expiring copy of each processed request and any files read from Slack, for up to 30 days. Data from one Slack workspace is never used to service or generate responses for another. Full detail is in our Privacy Policy, Sections 3.C, 5.I and 6.

Data center location(s)

United States

Data hosting details

Cloud hosted on AWS, we do not operate our own hardware and there is no on-premise deployment. The API layer runs on Amazon EKS and the agent layer on Amazon Bedrock AgentCore, with model inference through Amazon Bedrock and Google Gemini API. Persistent data is held in Amazon RDS (PostgreSQL, encrypted at rest, TLS in transit), with Amazon S3 for agent working state, Amazon ElastiCache (Redis) for short-lived caches, and Amazon SQS for request processing. Logging and tracing run on CloudWatch and X-Ray; container logs are additionally indexed in an OpenSearch domain in the same AWS account. Cloudflare R2 is used as object storage for files.

Data hosting company

Amazon Web Services (AWS) as primary host. Cloudflare (R2) as object storage for files submitted to the agent.

App/service has sub-processors

yes

Guidelines for sub-processors

https://zeely.ai/zeely-creative-agent-slack-feature-privacy-policy/

App/service uses large language models (LLM)

yes

LLM model(s) used

Anthropic Claude models via Amazon Bedrock, with Bedrock Guardrails applied. Google Gemini models via the paid Gemini API. Amazon Titan Text Embeddings V2 via Bedrock for embeddings. Zeely does not train, fine-tune or host any model of its own.

LLM retention settings

Slack transcripts are not stored. Thread history sits in a cache cleared within 10 minutes; working state, files read from Slack, and model and runtime logs are deleted after 30 days. On uninstall, all workspace data is deleted within 14 business days.

LLM data tenancy policy

AWS and Google managed multi-tenant inference; no customer-specific or fine-tuned models. Customer Data is never used to train foundation models, by us or our providers. Providers may retain flagged content solely for abuse prevention, per their terms.

LLM data residency policy

Processing and storage on our own infrastructure occur in U.S. AWS regions, and Bedrock inference is IAM-restricted to U.S. regions. Requests to the paid Google Gemini API are not covered by a regional-processing guarantee from Google.

Certifications & compliance

Security