Zeer Mitiga / intent / mitiga
Observed, not inferred · updated weekly

Mitiga buying intent

21 tracked signals — top 14 topics below — Marketing is carrying most of it.

21signals · 30 days
14topics tracked
7.69%attributed to a team

Attention by team

taxonomy_intent_rollup × social_profile.role

Every tracked signal from a Mitiga employee, placed by the team they sit in and the theme they engaged with. Darker means more concentrated attention.

Artificial Intelligence
Agentic AI System
Customer Facing
Data Lake
Data Model
Generative AI
Marketing
00% Marketing to Artificial Intelligence: 0 signals, 0% of this team's attention
00% Marketing to Agentic AI System: 0 signals, 0% of this team's attention
00% Marketing to Customer Facing: 0 signals, 0% of this team's attention
1100% Marketing to Data Lake: 1 signals, 100% of this team's attention
00% Marketing to Data Model: 0 signals, 0% of this team's attention
00% Marketing to Generative AI: 0 signals, 0% of this team's attention
Unclassified no dept on file
650% Unclassified to Artificial Intelligence: 6 signals, 50% of this team's attention
325% Unclassified to Agentic AI System: 3 signals, 25% of this team's attention
18% Unclassified to Customer Facing: 1 signals, 8% of this team's attention
00% Unclassified to Data Lake: 0 signals, 0% of this team's attention
18% Unclassified to Data Model: 1 signals, 8% of this team's attention
18% Unclassified to Generative AI: 1 signals, 8% of this team's attention
LowHigh

Topics being researched

30-day window

All tracked topics, ranked by signal volume. Confidence is the classifier's certainty that the signal belongs to this topic.

Artificial Intelligence
LinkedIn
High volume
97%
last
11d ago
Agentic AI System
LinkedIn
Medium volume
97%
last
11d ago
Customer Facing
LinkedIn
Low volume
98%
last
11d ago
Data Lake
LinkedIn
Low volume
98%
last
10d ago
Data Model
LinkedIn
Low volume
98%
last
11d ago
Generative AI
LinkedIn
Low volume
98%
last
11d ago
Incident Response
LinkedIn
Low volume
85%
last
28d ago
Open Source
LinkedIn
Low volume
98%
last
11d ago
Performance Enablement
LinkedIn
Low volume
60%
last
23d ago
Secure Business Enablement
LinkedIn
Low volume
60%
last
23d ago
Security Information and Event Management (SIEM)
LinkedIn
Low volume
98%
last
28d ago
AI Agent Security
LinkedIn
Low volume
92%
last
11d ago
Threat Detection
LinkedIn
Low volume
75%
last
28d ago
Business Enablement
LinkedIn
Low volume
60%
last
23d ago

Need intent for a specific topic or industry?

We track the full taxonomy across every account in the graph — including themes not shown on this page.

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Who to contact at Mitiga

verified title on file

People at Mitiga whose own activity produced these signals. Names are withheld pending a consent decision; titles, seniority and topic are real and free to browse.

Unclassified1 active
Operario de cámara
researching Artificial Intelligence
in
Co-Founder, COO
executiveresearching Artificial Intelligence
in
Marketing1 active
Director of Digital Marketing
leadershipresearching Data Lake
in

Top accounts researching Mitiga

names withheld on the public page

Companies whose people mention Mitiga in their own activity. Account names are withheld here; not yet classified as implementation partner vs. genuine prospective buyer.

  • Account withheldSwiss Re5 contacts
  • Account withheldNFP, an Aon company2 contacts
  • Account withheldWater Hygiene Centre Ltd1 contacts
  • Account withheldDiamidex1 contacts
  • Account withheldHydrosense1 contacts
  • Account withheldBLACK SEA EXPRESS CO1 contacts
  • Account withheldLinkedIn1 contacts
  • Account withheldCognizant1 contacts
  • Account withheld3Pillar1 contacts
  • Account withheldEnvironmental Defense Fund1 contacts
  • Account withheldHUMAN1 contacts
  • Account withheldCiklum1 contacts
  • Account withheldGoogle1 contacts
  • Account withheldActuarial Risk Management (ARM)1 contacts
  • Account withheldOSM Thome1 contacts

Buyer profile

company size · seniority

How big those accounts are, and who inside them is senior enough to matter. Competitor products still not yet computed for this account.

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

Company size breakdown
Buyer seniority mix
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Companies researching Mitiga

by employee count
  • 1,001-5,000 employees6 cos · 7 contacts
  • 5,000+ employees5 cos · 9 contacts
  • 11-50 employees4 cos · 4 contacts
  • 1-10 employees2 cos · 2 contacts
  • 501-1,000 employees2 cos · 2 contacts
  • 51-200 employees1 cos · 1 contacts
  • 201-500 employees1 cos · 1 contacts

Who inside those companies

seniority, where on file
Senior IC
4
Director
4
VP
4
Executive
3
Leadership
2
~10 further brand-affiliated researchers have no seniority on file and are excluded from these bars.

What's been said

public posts mentioning Mitiga

Real public activity that surfaced Mitiga in a tracked topic. Not a sentiment score — just what people actually wrote.

LinkedInArtificial Intelligence

𝗚𝗼𝗶𝗻𝗴 𝗔𝗜 𝗡𝗮𝘁𝗶𝘃𝗲? It starts with the team... through INSPIRATION!✨ Last week I wrote about our AI Native transformation. A lot of people asked for specific tips. I (still) don't have all the answers, but here's one I'm sure about: Every single person on the team needs to become an "𝗔𝗜 𝗳𝗮𝗻𝗮𝘁𝗶𝗰" 🤩 AI usage has an 𝘦𝘷𝘦𝘯𝘵 𝘩𝘰𝘳𝘪𝘻𝘰𝘯. There's a point of savviness where, once you cross it, it's hard NOT to be a fanatic. Some people get there on their own. Others need this little push of inspiration to get there and see what they can do with AI beyond basic use cases. So I built an internal training. Started with this deck. 30 minutes walking the team through how disruptive this revolution is, why they HAVE to get onboard, and how to do it. Followed by 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗲𝘅𝗮𝗺𝗽𝗹𝗲𝘀 of what people built. You'd be surprised how effective this is. Seeing the insanely useful things someone built in a few hours is often the trigger to start heading toward the 𝘦𝘷𝘦𝘯𝘵 𝘩𝘰𝘳𝘪𝘻𝘰𝘯. Going forward: 𝗪𝗲𝗲𝗸𝗹𝘆 𝘀𝗵𝗼𝘄 𝗮𝗻𝗱 𝘁𝗲𝗹𝗹 💡 A place for people to brag about their AI achievements. A skill they built. A system they created. A new design they came up with. It's easy. Everybody who creates something amazing with AI *loves* to brag about it. And it helps everybody else get ideas and see how easy it can be. That's my tip for this week. More to come.

May 2026

About this data. Mitiga (mitiga.io). Signals derive from taxonomy_intent_rollup joined to social_profile.role. Department attribution is 7.69%; the remainder is shown honestly as its own Unclassified row rather than hidden. Updated 2026-08-24T04:00:02.375Z.

Not yet computedPer-team narrative summaries