Zeer
Observe.AIObserve.AI buying intent
7 tracked signals — top 5 topics below — Marketing and Engineering are carrying most of it.
Attention by team
taxonomy_intent_rollup × social_profile.roleEvery tracked signal from a Observe.AI employee, placed by the team they sit in and the theme they engaged with. Darker means more concentrated attention.
Topics being researched
30-day windowAll tracked topics, ranked by signal volume. Confidence is the classifier's certainty that the signal belongs to this topic.
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We track the full taxonomy across every account in the graph — including themes not shown on this page.
Who to contact at Observe.AI
verified title on filePeople at Observe.AI whose own activity produced these signals. Names are withheld pending a consent decision; titles, seniority and topic are real and free to browse.
Top accounts researching Observe.AI
names withheld on the public pageCompanies whose people mention Observe.AI in their own activity. Account names are withheld here; not yet classified as implementation partner vs. genuine prospective buyer.
No buyer signal yet for this account
Nobody in the graph is currently discussing this company by name in a way we can attribute to a specific employer.
Buyer profile
company size · seniorityHow big those accounts are, and who inside them is senior enough to matter. Competitor products still not yet computed for this account.
What's been said
public posts mentioning Observe.AIReal public activity that surfaced Observe.AI in a tracked topic. Not a sentiment score — just what people actually wrote.
One of the things I am most excited about with Observe.AI 2.0 is our product velocity. AI Native companies ship at warp speed. That is not a tagline - it is a completely different operating model. Where SaaS companies shipped quarterly, AI Native companies ship weekly. That is the pace we are setting and something you will see from us consistently going forward. One week after our Agentic Platform launch, I am excited to announce our newest agent - the Companion Agent. Here is the problem it solves. I personally spent 6 months in Manila sitting alongside frontline customer service teams. Two monitors. 10 to 12 open applications. Constantly changing knowledge bases. Policies that update without warning. Frustrated customers before the conversation even starts. It is one of the hardest jobs in the enterprise. And nobody talks about it enough. As our Customer Agent takes on more routine interactions, the interactions that reach human agents become significantly more complex. The easy stuff gets automated. The hard stuff lands on the frontline team. That makes an already difficult job ten times harder. Companion Agent is built for exactly that moment. It sits alongside every frontline team member as a real time thinking partner. It listens. It sees everything the agent sees. It surfaces the right knowledge, the right guidance, the right next step - exactly when the agent needs it. It also handles the work around the work. Summaries. Post interaction actions. Follow up tasks. All automated. What makes it different - Companion Agent is built to work hand in hand with our Customer Agent. Consistent customer journey. Seamless handoffs. A continuous feedback loop between what AI handles autonomously and what humans handle with AI support. This is what Agentic First looks like in practice. Not AI replacing humans. A coordinated system where each makes the other better. More to come. We are just getting started.
Observe was a conversational intelligence company, right? I think this was early days of machine learning. And if we can synthesize all that data and provide insights to enterprises, we can create a lot of value.