collony – AI Moderation for Communities
Summary
Crypto communities on Discord and Telegram get hit in waves — a coordinated raid drops fifty scam DMs in three minutes, and by the time your EU moderator wakes up, the damage is done. collony.ai exists to hold that line while your team is offline.
collony.ai analyzes live messages across Telegram and Discord for spam, scams, sentiment shifts, and repeat questions — then removes bad actors or surfaces patterns for your team to act on. You upload a knowledge base, set moderation rules, configure a tone, and the tool handles FAQ deflection and threat detection continuously. The vendor describes it as AI-assisted moderation, not autonomous action: it surfaces recommendations and steps in where configured, but a human still owns the final decisions on edge cases. The fit is tight for Web3 projects managing high-volume, low-trust environments where fake support accounts and raid patterns are routine. Teams with nuanced moderation policies — graduated warnings, appeals processes, cross-platform context — will find the rules engine reaches its ceiling fast.
Bottom line: collony.ai is a solid first line of defense for a crypto project getting buried in scam DMs and FAQ spam, but teams that need graduated enforcement logic or moderation that spans more than Telegram and Discord will outgrow it before the second quarter.
Pricing Plans
SubscriptionLast verified 2 days ago- Price
- $49/month
- Free Tier
- 7-day free trial with full access to all features on selected tier. No credit card required.
Starter
For single-platform communities.
- 24/7 protection (single platform)
- Custom moderation rules
- Community analytics
- Up to 1,000 messages/day
Pro
For multi-platform communities.
- 24/7 protection (both platforms)
- AI chat bot (single platform)
- Community analytics
- Up to 2,000 messages/day
Business
For large multi-platform communities.
- 24/7 protection (both platforms)
- AI chat bot (both platforms)
- Monthly reports
- Up to 5,000 messages/day
View full pricing on collony.ai →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Real-time scam and spam detection trained on your own knowledge base, which means coordinated raids and fake support accounts get caught before they spread rather than after your team finds fifty reports in the queue.
- Continuous FAQ deflection across Telegram and Discord, so your moderators stop answering the same three token questions at 3 AM and focus on issues that actually require judgment.
- Sentiment and topic tracking during high-volume events, which means you see a community mood shift during a token launch in time to respond rather than reading the post-mortem in a Discord thread the next day.
- Configurable AI personality and moderation rules tied to your knowledge base, so the bot's tone and decisions stay consistent with your project's standards even as the moderation team rotates across timezones.
- No credit card required to evaluate — the vendor states all plans include a 7-day free trial — so you can test against your actual message volume before committing budget.
Cons
Sign in to edit- The platform covers only Telegram and Discord: communities that also run active servers on Slack, Reddit, or proprietary platforms get no coverage from collony, and teams managing multi-platform presence end up running separate moderation stacks and reconciling them manually.
- No API is described on the vendor page, which means moderation data — scam detection logs, sentiment trends, flagged message counts — cannot be piped into your own dashboards or incident systems; teams that need moderation telemetry as part of a broader data workflow have to export or screenshot.
- Moderation logic is rules-based on top of AI analysis, not a programmable decision tree: teams that need graduated enforcement (warn once, mute on second offense, ban on third with a log entry) hit the ceiling of what the rules engine can express, and the typical next step is building a custom bot alongside collony or replacing it with a framework like AutoMod plus custom scripting.
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About
- Platforms
- Telegram, Discord
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-06-10T16:18:22.116Z
Best For
Who it's for
- Fast-growing online communities on Telegram and Discord
- Web3 and crypto projects managing large, active communities
- Community teams with limited moderation resources
- Projects needing consistent moderation standards across multiple channels
- Communities seeking real-time scam and spam detection
What it does well
- Automating moderation for crypto, DeFi, and Web3 community servers
- Detecting coordinated raids and fake support accounts in Discord
- Answering repetitive FAQ questions automatically across Telegram and Discord
- Monitoring sentiment shifts during token launches or major events
- Reducing moderation team burnout with 24/7 AI coverage across timezones
Integrations
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Frequently Asked Questions
- Is collony – AI Moderation for Communities free?
- collony – AI Moderation for Communities is a paid tool ($49/month). A 7-day free trial is available.
- Is collony – AI Moderation for Communities open source?
- No — collony – AI Moderation for Communities is a closed-source tool. Source code is not publicly available.
- What platforms does collony – AI Moderation for Communities support?
- collony – AI Moderation for Communities is available on: Telegram, Discord.
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Curated lists that include this category
collony.ai connects to Telegram and Discord, analyzes every incoming message against a trained knowledge base and a set of moderation rules you configure, and either removes harmful content automatically or flags patterns for your team. Setup follows three steps the vendor describes: upload your FAQs and knowledge base, connect the bot to the channels you want covered, then choose whether it moderates actively, assists quietly, or monitors for insights. The system handles spam and scam detection in real time, answers repetitive questions on behalf of the team, and tracks sentiment shifts and recurring topics so you know when community mood is turning before it becomes a PR problem.
The differentiating feature for Web3 contexts is the combination of live threat detection with sentiment and topic tracking during high-stakes moments — token launches, protocol upgrades, any event that floods a server with both genuine questions and opportunistic scammers. Rather than forcing your team to triage a thousand messages at once, collony surfaces what matters: spikes in negative sentiment, emerging narratives, recurring concerns your knowledge base should address. The vendor describes this as turning thousands of messages into a clear picture your team can act on, which is the right framing — this is a signal extraction tool as much as a moderation tool.
Where it fits cleanly: single-platform communities on Telegram or Discord that need 24/7 coverage without a 24/7 human team, and Web3 projects where scam patterns and FAQ volume are predictable. Where it breaks: communities that span platforms beyond those two, moderation workflows that require graduated consequences or an appeals system, and projects that need an API to pipe moderation data into their own analytics stack — the vendor page does not describe an API. Teams that hit those walls typically move to custom bot frameworks or moderation platforms with open APIs, accepting higher setup overhead in exchange for control.