Zeer BigBear.ai / intent / bigbear-ai
Observed, not inferred · updated weekly

BigBear.ai buying intent

5 tracked signals — top 5 topics below — Engineering is carrying most of it.

5signals · 30 days
5topics tracked
100%attributed to a team

Attention by team

taxonomy_intent_rollup × social_profile.role

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

AI Ops
Agentic AI System
Artificial Intelligence
Infrastructure Automation
Open Source
Engineering
120% Engineering to AI Ops: 1 signals, 20% of this team's attention
120% Engineering to Agentic AI System: 1 signals, 20% of this team's attention
120% Engineering to Artificial Intelligence: 1 signals, 20% of this team's attention
120% Engineering to Infrastructure Automation: 1 signals, 20% of this team's attention
120% Engineering to Open Source: 1 signals, 20% 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.

AI Ops
LinkedIn
High volume
98%
last
26d ago
Agentic AI System
LinkedIn
High volume
98%
last
26d ago
Artificial Intelligence
LinkedIn
High volume
98%
last
26d ago
Infrastructure Automation
LinkedIn
High volume
98%
last
26d ago
Open Source
LinkedIn
High volume
98%
last
26d ago

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Who to contact at BigBear.ai

verified title on file

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

Engineering1 active
Cloud Engineer
researching AI Ops
in

Top accounts researching BigBear.ai

names withheld on the public page

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

Not yet available

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 · 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 BigBear.ai.

Company size breakdown
Buyer seniority mix
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Not yet available

No buyer signal yet for this account

Not enough real data was found to build a company-size or seniority breakdown for this account.

What's been said

public posts mentioning BigBear.ai

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

LinkedInArtificial Intelligence

Last week, thousands of leaders from business, government, finance, and technology gathered in Washington, D.C. at the Special Competitive Studies Project - SCSP AI+ Expo to discuss the future of applied AI. I enjoyed joining Tarun Chhabra, head of national security policy for Anthropic , Dawn Meyerriecks , who led CIA’s science & technology directorate, and Michael A. Brown , who led the Defense Innovation Unit (DIU) for a conversation on "AI, Security, and Capital for America's Next 250 Years," hosted by Christina Alfonso , president of the Council on Global Competition and Innovation - CGCI . My argument is that operator insight must be at the center of AI deployment and the flow of capital into critical technologies. The United States has the capital and the innovation. The work now is turning both into lasting strategic advantage, and operators must shape that effort from the start. Trillions of dollars of private capital are moving toward AI and other emerging technologies. That capital can help accelerate American competitiveness, but only if it becomes real capability for the missions that need it most. The people building and funding these technologies need to understand the environments where they will be used. Operators know what breaks under pressure, what slows decisions, and what adversaries exploit when the margin disappears. Their experience needs to shape these capabilities from the start.

May 2026
3 earnings/source documents mentioning BigBear.ai are on file and pending legal review before they can be quoted here.

About this data. BigBear.ai (bigbear.ai). Signals derive from taxonomy_intent_rollup joined to social_profile.role. Department attribution is 100%; 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