Zeer Hyperscience / intent / hyperscience
Observed, not inferred · updated weekly

Hyperscience buying intent

12 tracked signals — top 7 topics below — Sales and Marketing are carrying most of it.

12signals · 30 days
7topics tracked
100%attributed to a team

Attention by team

taxonomy_intent_rollup × social_profile.role

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

Artificial Intelligence
Digital Transformation
Machine-Readable
Accounts Payable
Financial Systems
Workflow Automation
Sales
330% Sales to Artificial Intelligence: 3 signals, 30% of this team's attention
220% Sales to Digital Transformation: 2 signals, 20% of this team's attention
220% Sales to Machine-Readable: 2 signals, 20% of this team's attention
110% Sales to Accounts Payable: 1 signals, 10% of this team's attention
110% Sales to Financial Systems: 1 signals, 10% of this team's attention
110% Sales to Workflow Automation: 1 signals, 10% of this team's attention
Marketing
1100% Marketing to Artificial Intelligence: 1 signals, 100% of this team's attention
00% Marketing to Digital Transformation: 0 signals, 0% of this team's attention
00% Marketing to Machine-Readable: 0 signals, 0% of this team's attention
00% Marketing to Accounts Payable: 0 signals, 0% of this team's attention
00% Marketing to Financial Systems: 0 signals, 0% of this team's attention
00% Marketing to Workflow Automation: 0 signals, 0% 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
98%
last
7d ago
Digital Transformation
LinkedIn
Medium volume
98%
last
28d ago
Machine-Readable
LinkedIn
Medium volume
98%
last
28d ago
Accounts Payable
LinkedIn
Low volume
98%
last
28d ago
Financial Systems
LinkedIn
Low volume
98%
last
28d ago
Workflow Automation
LinkedIn
Low volume
98%
last
28d ago
Automated Invoice Processing
LinkedIn
Low volume
92%
last
28d ago

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Who to contact at Hyperscience

verified title on file

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

Sales2 active
Account Executive - State / Local Government | Higher Education
researching Artificial Intelligence
in
Senior Director, Sales Engineering & Field CTO, EMEA
executiveresearching Artificial Intelligence
in
Marketing1 active
makina mühendisi
seniorresearching Artificial Intelligence
in

Top accounts researching Hyperscience

names withheld on the public page

Companies whose people mention Hyperscience 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 Hyperscience.

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 Hyperscience

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

LinkedInArtificial Intelligence

🥳 Gravitee 4.11 is here! AI agents are starting to behave like real users of your systems: They call APIs. They query LLMs. They consume topics. They make decisions. Which means now they can also… • leak sensitive data in prompts • burn through your LLM budget • act on behalf of users with zero traceability Not great. So with Gravitee 4.11 we focused on putting guardrails around AI systems running in production. A few highlights: 🔒 PII auto-filtering for LLM traffic so you don’t accidentally ship sensitive data to a model ⚡ Semantic caching to stop paying for the same LLM answer over and over again 🪪 Agent delegation with RFC 8693 token exchange so agents acting for users remain fully traceable The goal isn’t just to run AI, anyone can do that today. It’s to run AI systems you can actually trust in production. If you’re building platforms where agents, APIs, and LLMs interact, this release is for you. We also shipped a ton of capabilities to help you productize your APIs or improve Kafka governance. Learn more here 👉 https://lnkd.in/dcHGHFas

Apr 2026

About this data. Hyperscience (hyperscience.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