Zeer Scry AI / intent / scry-ai

Scry AI

51-250 employees·San Jose, California, United States·scryai.com

Observed, not inferred · updated weekly

Buying intent

36 tracked signals | Top 15 topics are below | Data and Marketing are carrying most of it.

26signals · 30 days
25topics tracked
88.24%attributed to a team

Attention by team

LinkedIn activity, by team

Where Scry AI'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
Generative AI
Invest in Startups
Women's Health
AT&T
Human Resources -> Employee Services
Data
High64% of team Data to Artificial Intelligence: High, 64% of this team's signals
Medium27% of team Data to Generative AI: Medium, 27% of this team's signals
Data to Invest in Startups: no signal
Data to Women's Health: no signal
Low9% of team Data to AT&T: Low, 9% of this team's signals
Data to Human Resources -> Employee Services: no signal
Marketing
Low50% of team Marketing to Artificial Intelligence: Low, 50% of this team's signals
Marketing to Generative AI: no signal
Marketing to Invest in Startups: no signal
Low50% of team Marketing to Women's Health: Low, 50% of this team's signals
Marketing to AT&T: no signal
Marketing to Human Resources -> Employee Services: no signal
Engineering
Engineering to Artificial Intelligence: no signal
Engineering to Generative AI: no signal
Low100% of team Engineering to Invest in Startups: Low, 100% of this team's signals
Engineering to Women's Health: no signal
Engineering to AT&T: no signal
Engineering to Human Resources -> Employee Services: no signal
Sales
Low100% of team Sales to Artificial Intelligence: Low, 100% of this team's signals
Sales to Generative AI: no signal
Sales to Invest in Startups: no signal
Sales to Women's Health: no signal
Sales to AT&T: no signal
Sales to Human Resources -> Employee Services: no signal
Others
Low50% of team Others to Artificial Intelligence: Low, 50% of this team's signals
Others to Generative AI: no signal
Others to Invest in Startups: no signal
Others to Women's Health: no signal
Others to AT&T: no signal
Low50% of team Others to Human Resources -> Employee Services: Low, 50% 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
96%
last
2d ago
Generative AI
LinkedIn
Low volume
98%
last
15d ago
Invest in Startups
LinkedIn
Low volume
94%
last
24d ago
Women's Health
LinkedIn
Low volume
98%
last
10d ago
AT&T
LinkedIn
Low volume
92%
last
15d ago
Human Resources -> Employee Services
LinkedIn
Low volume
98%
last
2d ago
YouTube
LinkedIn
Low volume
92%
last
19d ago
AI Agent Software
LinkedIn
Low volume
92%
last
25d ago
Scalability
LinkedIn
Low volume
92%
last
27d ago
Agentic AI System
LinkedIn
Low volume
98%
last
25d ago
Identity verification
LinkedIn
Low volume
96%
last
21d ago
OpenAI
LinkedIn
Low volume
98%
last
25d ago
Financial Services
LinkedIn
Low volume
98%
last
21d ago
Social Media
LinkedIn
Low volume
96%
last
16d ago
Economic Growth
LinkedIn
Low volume
98%
last
26d ago

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Who's active at Scry AI

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.

Others2 active
researching Human Resources -> HR Tech
in
Senior ICresearching Social Media
in
Engineering2 active
researching Invest in Startups
in
researching YouTube
in
Data1 active
Executiveresearching Artificial Intelligence
in
Sales1 active
Senior ICresearching Identity verification
in
Marketing1 active
researching Women's Health
in

Primary products / business lines

LinkedIn company profile

Scry AI is a leading enterprise AI company dedicated to transforming how businesses unlock insights, automate workflows, and ensure compliance across vast, complex data ecosystems. With a foundation in proprietary AI algorithms and deep domain expertise, Scry AI delivers scalable, explainable, and audit-ready solutions for highly regulated industries such as finance, insurance, healthcare, and log

Top accounts researching Scry AI

names withheld on the public page

These are companies whose own people brought up Scry AI 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

Scry AI's own team shows 10 signals on this topic. No one outside Scry AI has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Generative AI18,767 cos · 78,543 people
  • Invest in Startups175 cos · 453 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 Scry AI.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Engineering — 2 people; Data / Analytics — 1 person; Sales — 1 person; Marketing — 1 person

What's been said

public posts by Scry AI's team

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

LinkedIn

Looking forward!

Apr 2026
LinkedInArtificial Intelligence

EFFECTS OF AI HYPE – FIRST FIRE THEN REHIRE FOR SAME ROLES Since 2013, pundits have been screaming that within a few years, AI would replace large parts of the U.S. workforce. However, until now, the data has been pointing differently. In February 2026, Careerminds polled 600 HR professionals, who had initiated layoffs during the last 12 months. Two-thirds of those who had reduced headcount because of AI have already re-hired. Around one-third have rehired between 25% to 50% of the roles they let go initially whereas another 35% have re-hired more than half of the roles. THIS IS NOT SURPRISING SINCE AI COMES WITH AN OVERSIGHT TAX. According to CareerMinds, more than half of the surveyed HR leaders acknowledge that AI systems required significantly more human oversight than anticipated earlier. Whereas only one-fifth found that AI could fully replace a role without creating disruptions, one-third of them reported losing critical skills and expertise (after such layoffs). Institutional knowledge does not reside in documentation repositories. Indeed, “tribal knowledge” is not a file format, at least not yet. When systems fail, recovery depends on people who understand “boundary cases” (most of which arise due to tribal knowledge), complex dependencies, and failure modes that never made it into various prompts. Although the “average” case usually provides a decent return on investment, solving for boundary cases – which are usually 10% to 15% – is costly, thereby eliminating most productivity and financial gains. Additionally, a parallel trend of “AI washing” is occurring where layoffs are framed around automation but serving broader restructuring goals. Undoubtedly, since investments in hardware, cooling, and power infrastructure require large capital expenditure, workforce reduction is one of the fastest ways to free up capital. Sadly, what we are seeing is less of a clean technological transition and more of baptism by fire! #AI #FutureOfWork #TechTrends2026 #Microsoft #Oracle #BusinessStrategy #CareerGrowth

Apr 2026

About this data. Scry AI (scryai.com). Department attribution is 88.24%; remaining activity is grouped under Others. Updated 2026-10-03T14:00:03.490Z.

Not yet computedPer-team narrative summaries