Zeer Rasa / intent / rasa

Rasa

51-250 employees·Berlin, California, Germany·rasa.com

Observed, not inferred · updated weekly

Buying intent

28 tracked signals | Top 13 topics are below | Marketing and Sales are carrying most of it.

28signals · 30 days
13topics tracked
42.86%attributed to a team

Attention by team

LinkedIn activity, by team

Where Rasa's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.

Artificial Intelligence
Hiring
Agentic AI System
Social Media
AI Agent Software
Human Resources -> HR Tech
Marketing
Low33% of team Marketing to Artificial Intelligence: Low, 33% of this team's signals
Marketing to Hiring: no signal
Marketing to Agentic AI System: no signal
Medium67% of team Marketing to Social Media: Medium, 67% of this team's signals
Marketing to AI Agent Software: no signal
Marketing to Human Resources -> HR Tech: no signal
Sales
Low33% of team Sales to Artificial Intelligence: Low, 33% of this team's signals
Sales to Hiring: no signal
Low33% of team Sales to Agentic AI System: Low, 33% of this team's signals
Sales to Social Media: no signal
Low33% of team Sales to AI Agent Software: Low, 33% of this team's signals
Sales to Human Resources -> HR Tech: no signal
HR
Low50% of team HR to Artificial Intelligence: Low, 50% of this team's signals
Low50% of team HR to Hiring: Low, 50% of this team's signals
HR to Agentic AI System: no signal
HR to Social Media: no signal
HR to AI Agent Software: no signal
HR to Human Resources -> HR Tech: no signal
Engineering
Low100% of team Engineering to Artificial Intelligence: Low, 100% of this team's signals
Engineering to Hiring: no signal
Engineering to Agentic AI System: no signal
Engineering to Social Media: no signal
Engineering to AI Agent Software: no signal
Engineering to Human Resources -> HR Tech: no signal
Others
High42% of team Others to Artificial Intelligence: High, 42% of this team's signals
Medium25% of team Others to Hiring: Medium, 25% of this team's signals
Medium17% of team Others to Agentic AI System: Medium, 17% of this team's signals
Others to Social Media: no signal
Low8% of team Others to AI Agent Software: Low, 8% of this team's signals
Low8% of team Others to Human Resources -> HR Tech: Low, 8% of this team's signals
LowMediumHigh·  banded against the busiest pairing on this page

Topics being researched

30-day window

Every tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.

Artificial Intelligence
LinkedIn
High volume
94%
last
11d ago
Hiring
LinkedIn
Medium volume
95%
last
20d ago
Agentic AI System
LinkedIn
Medium volume
98%
last
20d ago
Social Media
LinkedIn
Low volume
89%
last
11d ago
AI Agent Software
LinkedIn
Low volume
92%
last
20d ago
Human Resources -> HR Tech
LinkedIn
Low volume
98%
last
20d ago
Exit Interviews
LinkedIn
Low volume
96%
last
18d ago
B2B Marketing
LinkedIn
Low volume
98%
last
12d ago
Cost Center
LinkedIn
Low volume
98%
last
20d ago
Conference
LinkedIn
Low volume
98%
last
18d ago
Talent Acquisition
LinkedIn
Low volume
98%
last
30d ago
Human Resources -> Recruitment, Hiring and Onboarding
LinkedIn
Low volume
98%
last
18d ago
Financial Services
LinkedIn
Low volume
98%
last
23d ago

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Who's active at Rasa

verified title on file

Titles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.

Others3 active
Staff Product Designer
researching Hiring
in
Executiveresearching Artificial Intelligence
in
researching Artificial Intelligence
in
Sales1 active
VPresearching AI Agent Software
in
Marketing1 active
Senior ICresearching Social Media
in
HR1 active
Senior ICresearching Talent Acquisition
in
Engineering1 active
researching Artificial Intelligence
in

Primary products / business lines

LinkedIn company profile

Rasa is an enterprise platform for building and operating AI agents across chat and voice channels. Organizations use Rasa to orchestrate complex, multi-step conversations, integrate AI agents with core business systems, and run them reliably in production environments. Rasa supports long-running interactions that span channels and systems. The platform enables consistent agent behavior as conver

Top accounts researching Rasa

names withheld on the public page

These are companies whose own people brought up Rasa unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.

151,426 companies · 839,012 people are researching Artificial Intelligence

Rasa's own team shows 9 signals on this topic. No one outside Rasa has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Hiring75,708 cos · 411,263 people
  • Agentic AI System32,339 cos · 130,942 people
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Buyer profile

company size · seniority

Company size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.

Unlock the buyer profile

Company-size breakdown and buyer seniority mix for accounts researching Rasa.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Sales — 1 person; Leadership — 1 person; Engineering — 1 person; Marketing — 1 person; HR / Talent — 1 person

What's been said

public posts by Rasa's team

No public post naming Rasa has surfaced in the past year, so this is what Rasa's own team is posting about publicly — their topics, in their words.

LinkedInAPI Integration

Here's me building an agent harness in a few minutes that lets claude code build with Rasa autonomously. There's been a lot of "this MCP server could've been an email" discourse lately. Often fair - if you're just wrapping an API so an LLM can call it, a swagger file does that. But the MCP tools we shipped with Rasa 3.16 actually do stateful, interesting work. Train a model. Run validation checks. Have full conversations with your trained agent to test it. So I built a harness that gives my coding agent direct access to all of that. Watch it come together in the video - takes about three minutes and then you have a coding agent that can build and iterate on Rasa projects autonomously. This is what MCP is actually for. link to full video and code in the comments.

Apr 2026

Leadership changes

Web / press

rasa.io Names Eric McDonald as CEO

M&A / partnership appetite

Web / press

Rasa and Cartesia Partner on Voice AI for Enterprise | Rasa Blog

About this data. Rasa (rasa.com). Department attribution is 42.86%; remaining activity is grouped under Others. Updated 2026-10-03T14:00:03.490Z.

Not yet computedPer-team narrative summaries