Zeer Sigmoid / intent / sigmoid

Sigmoid

1001-5000 employees·Jersey City, New Jersey, United States·sigmoid.com

Observed, not inferred · updated weekly

Buying intent

140 tracked signals | Top 15 topics are below | Engineering and HR are carrying most of it.

76signals · 30 days
74topics tracked
38.89%attributed to a team

Attention by team

LinkedIn activity, by team

Where Sigmoid'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
Data Engineering
Agentic AI System
Snowflake
Azure Databricks
Engineering
Medium56% of team Engineering to Artificial Intelligence: Medium, 56% of this team's signals
Low22% of team Engineering to Hiring: Low, 22% of this team's signals
Engineering to Data Engineering: no signal
Low22% of team Engineering to Agentic AI System: Low, 22% of this team's signals
Engineering to Snowflake: no signal
Engineering to Azure Databricks: no signal
HR
Low13% of team HR to Artificial Intelligence: Low, 13% of this team's signals
Low38% of team HR to Hiring: Low, 38% of this team's signals
Low25% of team HR to Data Engineering: Low, 25% of this team's signals
HR to Agentic AI System: no signal
Low13% of team HR to Snowflake: Low, 13% of this team's signals
Low13% of team HR to Azure Databricks: Low, 13% of this team's signals
Data
Data to Artificial Intelligence: no signal
Data to Hiring: no signal
Low50% of team Data to Data Engineering: Low, 50% of this team's signals
Low25% of team Data to Agentic AI System: Low, 25% of this team's signals
Low25% of team Data to Snowflake: Low, 25% of this team's signals
Data to Azure Databricks: no signal
Others
High33% of team Others to Artificial Intelligence: High, 33% of this team's signals
Medium21% of team Others to Hiring: Medium, 21% of this team's signals
Medium12% of team Others to Data Engineering: Medium, 12% of this team's signals
Medium12% of team Others to Agentic AI System: Medium, 12% of this team's signals
Medium12% of team Others to Snowflake: Medium, 12% of this team's signals
Low9% of team Others to Azure Databricks: Low, 9% 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
95%
last
2d ago
Hiring
LinkedIn
High volume
93%
last
3d ago
Data Engineering
LinkedIn
Medium volume
98%
last
3d ago
Agentic AI System
LinkedIn
Medium volume
98%
last
4d ago
Snowflake
LinkedIn
Medium volume
92%
last
3d ago
Azure Databricks
LinkedIn
Low volume
92%
last
3d ago
Data Analytics
LinkedIn
Low volume
96%
last
12d ago
Software Development
LinkedIn
Low volume
91%
last
3d ago
Microsoft (MSFT)
LinkedIn
Low volume
92%
last
14d ago
Supply Chain
LinkedIn
Low volume
92%
last
4d ago
AI Agent Software
LinkedIn
Low volume
95%
last
24d ago
Power BI
LinkedIn
Low volume
98%
last
23d ago
Generative AI
LinkedIn
Low volume
98%
last
8d ago
Cloud Computing
LinkedIn
Low volume
91%
last
3d ago
Conference
LinkedIn
Low volume
98%
last
18d ago

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Who's active at Sigmoid

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.

Others14 active
VPresearching Artificial Intelligence
in
researching Artificial Intelligence
in
Leadershipresearching AI Transformation
in
researching Cloud Computing
in
researching Artificial Intelligence
in
researching Data Engineering
in
Senior ICresearching Remote Working
in
Leadershipresearching Cloud Data
in
Directorresearching Artificial Intelligence
in
Leadershipresearching Low Latency
in
Talent Acquisition - Founder's Office
researching Hiring
in
Data Scientist
researching Ernst & Young
in
Global Recruitment Lead - Founders' Office
researching Hiring
in
Associate Director - Account Management
researching Program Management
in
+ 4 more in Others
Engineering9 active
Software Developer Engineer - 2
researching Microsoft (MSFT)
in
Data Engineer
researching Artificial Intelligence
in
Software Development Engineer
researching Fault Tolerance
in
DevOps Engineer
researching Talent Management
in
director, data science
Leadershipresearching Artificial Intelligence
in
client relations, data strategy, and consulting
researching Supply Chain
in
Software Development Engineer II
researching Software Development
in
data science trainee
researching BERT
in
sde 1
researching Software Development
in
+ 9 more in Engineering
HR4 active
Senior Talent Acquisition Specialist
Senior ICresearching Hiring
in
Senior Talent Acquisition Specialist
researching Artificial Intelligence
in
Associate Lead Talent Acquisition Specialist
Senior ICresearching Talent Acquisition
in
Senior Talent Acquisition Specialist
Senior ICresearching Data Engineering
in
+ 4 more in HR
Data2 active
Associate Manager - Analytics
Senior ICresearching Data Engineering
in
Senior Manager - Analytics
Senior ICresearching Data Architecture
in
+ 2 more in Data

See everyone, not just the first 10

29 people across every department at Sigmoid, plus a LinkedIn profile link for each.

Primary products / business lines

LinkedIn company profile

Sigmoid is an AI-first company that helps organizations modernize data, transform business processes, and make better decisions using data and AI. Enterprises are able to unlock new revenue opportunities and improve operational efficiency by partnering with Sigmoid to build bespoke GenAI and Agentic AI solutions powered by strong data foundations and contextual knowledge. Our team of AI professio

New capability sought

Employee posts (LinkedIn)

Azure Databricks; Data Analytics; Microsoft (MSFT); Software Development; AI Agent Software; Cloud Computing; Conference; Data Architecture

Top accounts researching Sigmoid

names withheld on the public page

These are companies whose own people brought up Sigmoid 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.

129,094 companies · 649,540 people are researching Artificial Intelligence

Sigmoid's own team shows 17 signals on this topic. No one outside Sigmoid has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Hiring66,174 cos · 318,882 people
  • Data Engineering8,055 cos · 34,411 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.

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

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Engineering — 9 people; Data / Analytics — 7 people; HR / Talent — 6 people

What's been said

public posts mentioning Sigmoid

Up to 9 public excerpts naming Sigmoid from the past 365 days, across LinkedIn, Reddit, X, YouTube and other public sources.

LinkedInAI Transformation

Earlier this week, I led a Sigmoid Roundtable with leaders from some of the world’s top CPG organisations. The conversation centred on a shift that’s starting to move from theory to reality: AI assistants → autonomous AI agents. The takeaway was clear: This is no longer experimentation. It’s starting to drive real top and bottom line impact. A few themes that stood out: Re-imagining vs automating - The opportunity isn’t in speeding up broken processes. It’s in redesigning them entirely. - The most forward-leaning teams are building AI-native workflows from day one. The rise of the agentic ecosystem - Not just individual agents, but systems of agents. - Marketing, finance, supply chain — interacting with each other, and increasingly with external partners and platforms, to make decisions with minimal human intervention. Speed is no longer incremental - We looked at a customer quoting process that traditionally took 14 days across six teams. - With agentic AI, it was reduced to ~4 hours. That’s not optimisation. That’s a different operating model. Foundation still wins - None of this works without contextual data, organized in consistent fashion. And if you have a tonne unstructured data in your org, you can use agents to clean that up too! - The gap between companies isn’t who has AI — it’s who has usable data. Trust becomes the constraint - As autonomy increases, so does the importance of governance. - Brand safety, decision transparency, and guardrails are becoming core design principles, not afterthoughts. Appreciate everyone who contributed openly to the discussion. The shift to agentic commerce is underway. The interesting part now is who restructures their organization fast enough to actually capture it. #AgenticAI #CPG #RetailMedia #AI #DigitalTransformation

Apr 2026

About this data. Sigmoid (sigmoid.com). Department attribution is 38.89%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries