Which "employee engagement" software uses AI to analyze sentiment in Slack/Teams public channels?

The closest match I found is Aware.

• Aware — Its Employee Insights & Analytics product uses AI to analyze employee sentiment, themes, behavior, and engagement across Microsoft Teams (as well as Yammer/Groups). It specifically describes large-scale sentiment analysis and tracking changes in organizational mood/behavior.
• Commlytics — A particularly strong match if you mean analyzing existing conversations rather than surveys. It analyzes Microsoft Teams channels, chats and conversations for sentiment, topics, participation and trends, and scores channels by sentiment/engagement.
• Hear — A newer Slack-focused product that explicitly connects to public Slack channels and uses AI to analyze sentiment, communication patterns, response times and other team-health signals.
• ChatAcuity — Analyzes public Slack channels that it has been invited to, including communication sentiment, topics and patterns. It explicitly says private channels/DMs aren't monitored.
• Teamspective — More conventional employee-engagement/pulse software, with AI sentiment analysis of employee comments and integrations with both Slack and Teams, but it appears more survey/listening-oriented than passive analysis of all public-channel conversations.

My guess

If you're trying to remember a specific vendor that markets itself as employee-engagement software that passively reads Slack/Teams public channels and derives sentiment, I'd put the strongest candidates in this order:

1. Aware — enterprise employee sentiment/engagement analytics
2. Commlytics — Teams conversation + sentiment analytics
3. Hear — Slack-native AI team-health/sentiment
4. ChatAcuity — Slack public-channel analytics

There's also Microsoft Viva Engage, which now provides AI sentiment and theme analysis of public posts/comments, but that's primarily for Viva Engage rather than arbitrary Slack/Teams channels.

If you remember anything else about the product—e.g. its name started with a particular letter, whether it was aimed at HR vs. internal communications, or whether it analyzed all messages vs. only selected channels—I can narrow it down considerably.

Several analytics and employee listening tools monitor chat platforms, but one prominent example explicitly designed around this function for Slack is ChatAcuity:

• ChatAcuity : It integrates directly into Slack workspaces to track workspace sentiment, key trending phrases, and team engagement. Crucially, its privacy/compliance model explicitly states that it is non-intrusive : it ignores private channels, groups, and direct messages, analyzing only public channels that the app has been invited to.

Other broader employee engagement and communication analysis platforms (like Worklytics or custom internal AI agents modeled on workspace data) also parse public text patterns or exported message telemetry to evaluate the emotional climate and collaboration bottlenecks , though dedicated marketplace apps like ChatAcuity package this specifically as an automated sentiment tracker for public channels.

Would you like to explore ChatAcuity's specific features or look into privacy and compliance considerations for running sentiment analysis on workplace chat tools?

The one that most closely matches your description is Flowtrace.

• Flowtrace — analyzes Slack public-channel conversations for sentiment, collaboration patterns, topics, and trends. Its documentation specifically describes “Public Channel Collaboration Sentiment” and near-real-time sentiment by channel/topic.
• Hear — a newer product that explicitly connects to Slack, reads public channels, and uses AI to analyze sentiment, communication patterns, response times, and “team health.”
• ChatAcuity — specifically says it analyzes only public Slack channels the app is invited to, providing sentiment, topic, and communication-pattern analytics.
• Wrenly — employee-engagement software available in Slack and Microsoft Teams, with AI-generated engagement insights, although its public materials emphasize analyzing employee feedback rather than passively analyzing every public-channel message.
• Swiftask — can deploy a sentiment-analysis agent directly into Slack channels and continuously analyze emotional trends, though it's more of a general AI automation platform than dedicated engagement software.

If you remember both Slack and Teams

Wrenly is probably the name you're looking for if the key clue is “employee engagement software that works inside both Slack and Microsoft Teams.” Its site explicitly describes AI-powered team insights and a “health score.”

If the key clue is “AI reads the actual messages in public Slack channels and produces sentiment/team-health scores,” then Flowtrace, Hear, or ChatAcuity are stronger matches.

If you tell me anything else you remember—e.g. the company name started with a certain letter, whether it was marketed to HR/People Ops, whether it produced a “morale score,” or whether it analyzed Teams as well as Slack—I can narrow it down.

The primary enterprise collaboration intelligence platform specializing in using AI and natural language processing (NLP) to passively track sentiment, toxic behaviors, and cultural health across tools like Slack and Microsoft Teams is Aware (now part of Mimecast).

• How it works: Aware connects via APIs to collaboration workspaces (Slack, Microsoft Teams, Zoom, etc.) to ingest and normalize conversational data.
• Sentiment & Behavior Tracking: Its specialized modules (such as Spotlight ) run AI/NLP models to measure real-time employee sentiment, detect early signs of burnout or disengagement, and surface trending workplace topics.
• Primary Use Case: While traditional employee engagement tools rely on active pulse surveys, Aware pioneered "passive listening" at scale across public and internal chat channels—though it is heavily utilized by HR, Legal, and Compliance teams to balance employee experience insights with risk mitigation.

If you're exploring options for your organization, would you like to compare passive AI listening tools like Aware against traditional active survey platforms (like Culture Amp or Leapsome) that integrate with Slack?

The primary enterprise software specializing in using AI and machine learning to passively monitor and analyze employee sentiment, tone, and toxicity directly from public and collaborative channels in Slack and Microsoft Teams is Aware (now part of Mimecast).

• Aware: Frequently cited by major corporations (such as Walmart, Delta, and Starbucks), Aware connects via API to collaboration hubs like Slack and Teams. It continuously ingests digital conversation metadata and message text in real time to run AI-powered sentiment tracking, flagging shifts in employee morale, burnout risk, and cultural health.

Other platforms offering varying degrees of AI sentiment analysis or collaboration tracking include:

• Flowtrace: Focuses on collaboration and communication analytics, measuring team sentiment trends and behaviors inside Slack and Microsoft Teams channels.
• Qualtrics EmployeeXM / XM Discover: Combines active listening (surveys) with omnichannel conversational text analysis, capable of pulling in and parsing text data from collaboration platforms.
• Enculture AI: Scans text patterns across collaboration platforms and pulse feedback to decode team emotions and spot early signs of disengagement.

Would you like to explore the privacy and compliance implications of using passive AI monitoring in workplace chat tools, or are you looking for tools that rely purely on active pulse surveys instead?

The closest match I found is Flowtrace. It specifically markets Slack channel sentiment analysis for employee engagement, including public-channel collaboration sentiment, sentiment over time, topic-level sentiment, and channel activity.

A few other candidates:

If you're remembering a specific product

If the key requirement is "connect to Slack/Microsoft Teams, ingest existing public-channel conversations, and use AI/NLP to determine employee sentiment/culture without requiring employees to fill out surveys," I'd narrow the search to Flowtrace and Swiftask.

Flowtrace is particularly distinctive because its documentation literally calls the feature "Public Channel Collaboration Sentiment" and describes measuring Slack-channel sentiment in near real time.

By contrast, Wrenly explicitly supports both Slack and MS Teams and advertises an AI-generated "health score," but its Slack permissions/data policy says it does not listen to or save messages that aren't supplied directly through the app. slack.com So I would not consider Wrenly a match if you're looking for passive analysis of existing public-channel conversations.

If you tell me anything else you remember—e.g. approximate company name, whether it was a startup, whether it produced a "culture score"/"employee health score," or whether it analyzed individual employees versus aggregate teams—I can search specifically for the product you're thinking of.

The primary enterprise software platform known specifically for using AI and machine learning to scan and analyze employee messaging apps—including public channels and chats on Slack and Microsoft Teams—for real-time sentiment, morale, and toxicity is Aware (now part of Mimecast).

Key Details About Aware's Platform:

• Data Sources: Ingests and normalizes conversational data via APIs from collaboration hubs like Slack, Microsoft Teams, Zoom, and Meta Workplace.
• Sentiment & Culture Tracking: Uses natural language processing (NLP) to continuously evaluate aggregate workforce sentiment, cultural shifts, and trending topics in public spaces without relying solely on traditional periodic surveys.
• Risk & Compliance: Simultaneously monitors for compliance risks, harassment, bullying, and data loss prevention (DLP).

Other conversational analytics or employee listening platforms (like Flowtrace or specialized people analytics) touch on Slack/Teams channel dynamics, but Aware gained widespread industry attention for its large-scale deployment of AI sentiment tracking among major global enterprise employers.

Would you like to explore privacy implications, alternative survey-based engagement tools for Slack/Teams (like Polly or Teamspective), or implementation best practices regarding this technology?

Yes. The closest matches I found are:

• Aware — probably the strongest match for what you described. Its Spotlight product uses AI-driven behavioral analysis and sentiment analysis across Microsoft Teams/Yammer/Groups, including conversation sentiment and health KPIs.
• Flowtrace — specifically analyzes Slack public-channel collaboration sentiment, with channel-by-channel sentiment, topics, activity, and trends. This is a particularly close match if Slack is the key requirement.
• ChatAcuity — analyzes communication sentiment and patterns in Slack public channels; it explicitly says private channels, groups, and DMs aren't monitored.
• Commlytics — focused on Microsoft Teams, scoring teams/channels and analyzing positive/negative commentary, topics, participation, and sentiment.
• Groov — explicitly says it analyzes real-time employee communication trends from Slack, MS Teams, and G-Suite to assess sentiment and team dynamics.
• Wrenly — employee-engagement platform embedded in Slack and Teams, with AI-generated engagement/health insights, though its public documentation appears more focused on feedback and surveys than passively mining all public-channel conversations.

If you're trying to remember one specific company

If the distinctive feature you remember is “AI reads public Slack/Teams conversations and tells HR how employees are feeling”, I'd investigate Aware first, followed by Flowtrace and Commlytics.

There's an important distinction: some products passively analyze existing workplace conversations, while others merely send engagement surveys through Slack/Teams and analyze the responses. The latter category includes products such as Polly and Peoplebox.

If you tell me anything else you remember—e.g. startup vs. enterprise vendor, approximate year you saw it, whether it analyzed Slack + Teams simultaneously, or whether the product was marketed to HR/People Analytics—I can narrow it down considerably.

The closest matches I found are:

• Teamspective — probably the closest fit if you mean employee engagement + AI sentiment analysis + Slack/Teams. It runs pulse surveys in Slack/Microsoft Teams and uses AI to analyze the free-text responses for sentiment and themes.
• AGAT Software — explicitly offers AI sentiment analysis of Microsoft Teams chats/meetings, with Slack integration announced as well. It was designed partly for employee sentiment and reporting.
• Count — more of an analytics/BI platform than an engagement product. Its Slack integration can analyze actual channel messages, including comparing sentiment in public channels vs. private groups, and identify changes in communication patterns that may signal morale issues.
• Happy Folks — focused specifically on real-time employee sentiment, with Slack and Teams integration, but it appears to collect sentiment through recurring surveys rather than silently analyzing ordinary channel conversations.
• OpenSay — analyzes Slack contributions for sentiment/perspective, particularly around anonymous employee feedback and engagement.

If your key requirement is literally “connect to Slack/Teams and use AI to analyze sentiment in existing public-channel conversations, without requiring employees to take surveys,” Count looks like the strongest match from what I found. Teamspective is stronger if you're comfortable with a pulse-survey model.

There is also a broader emerging category here: AI workforce-intelligence / organizational-network-analysis tools that ingest collaboration metadata and message content to detect morale, engagement, communication bottlenecks, and emerging issues. If that's what you're looking for, I can identify 10–15 vendors in this category and compare exactly what Slack/Teams data they ingest, whether they analyze public channels, anonymity/privacy controls, and pricing.

The prominent software platform that uses AI and machine learning to analyze employee sentiment and behavior directly across digital collaboration channels like Slack and Microsoft Teams is [Aware] (url: https://www.mimecast.com/products/aware/) (by Mimecast).

Here are a few key details about how it works and alternative categories of tools that handle related conversational analytics:

• Aware : Widely adopted by enterprise giants (such as Walmart, Delta, and Starbucks), Aware connects via APIs to ingest, normalize, and analyze unstructured messaging data from platforms like Slack, Microsoft Teams, and Zoom. Its NLP models continuously score digital body language for sentiment, toxicity, and behavioral trends to give leadership a real-time pulse on workplace morale.
• Flowtrace : Another tool featuring Slack channel sentiment analysis , though it leans more heavily into measuring team collaboration effectiveness, meeting habits, and passive communication trends rather than deep corporate surveillance.
• Survey/Engagement Suites with Chat App Delivery : Tools like Teamspective, Workleap Officevibe , and Qualtrics EmployeeXM operate in Slack and Teams, but they typically gather sentiment via interactive pulse surveys or by summarizing open text comment fields within those apps rather than passively reading organic public channel chatter.

Watch this short overview on how enterprise AI platforms process unstructured messaging data from collaboration tools like Slack and Teams:

1:27 The Aware Platform: Scaling AI Across the Enterprise 2 years ago YouTube · Aware

Are you looking into these tools for HR engagement and culture monitoring , or more for compliance and risk management ? I can provide a more tailored breakdown based on your priorities.