Zeer DATAFOREST / intent / dataforest

DATAFOREST

51-250 employees·Kiev, Ukraine·dataforest.ai

Observed, not inferred · updated weekly

Buying intent

126 tracked signals | Top 15 topics are below | Sales and Marketing are carrying most of it.

58signals · 30 days
81topics tracked
36.84%attributed to a team

Attention by team

LinkedIn activity, by team

Where DATAFOREST'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
Enterprise Resource Planning (ERP)
Operational Excellence
Digital Transformation
Supply Chain
Hiring
Sales
High63% of team Sales to Artificial Intelligence: High, 63% of this team's signals
Low25% of team Sales to Enterprise Resource Planning (ERP): Low, 25% of this team's signals
Sales to Operational Excellence: no signal
Sales to Digital Transformation: no signal
Sales to Supply Chain: no signal
Low13% of team Sales to Hiring: Low, 13% of this team's signals
Marketing
Low33% of team Marketing to Artificial Intelligence: Low, 33% of this team's signals
Low17% of team Marketing to Enterprise Resource Planning (ERP): Low, 17% of this team's signals
Marketing to Operational Excellence: no signal
Marketing to Digital Transformation: no signal
Low17% of team Marketing to Supply Chain: Low, 17% of this team's signals
Low33% of team Marketing to Hiring: Low, 33% of this team's signals
Others
Medium17% of team Others to Artificial Intelligence: Medium, 17% of this team's signals
High29% of team Others to Enterprise Resource Planning (ERP): High, 29% of this team's signals
High21% of team Others to Operational Excellence: High, 21% of this team's signals
High21% of team Others to Digital Transformation: High, 21% of this team's signals
Medium13% of team Others to Supply Chain: Medium, 13% of this team's signals
Others to Hiring: no signal
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
11d ago
Enterprise Resource Planning (ERP)
LinkedIn
High volume
98%
last
13d ago
Operational Excellence
LinkedIn
Medium volume
96%
last
20d ago
Digital Transformation
LinkedIn
Medium volume
98%
last
20d ago
Supply Chain
LinkedIn
Medium volume
85%
last
11d ago
Hiring
LinkedIn
Low volume
92%
last
13d ago
Data Integration
LinkedIn
Low volume
98%
last
20d ago
Use Case
LinkedIn
Low volume
98%
last
14d ago
S/4HANA
LinkedIn
Low volume
95%
last
14d ago
Gemba walk
LinkedIn
Low volume
98%
last
18d ago
Data Architecture
LinkedIn
Low volume
98%
last
23d ago
Energy Consumption
LinkedIn
Low volume
98%
last
20d ago
Capacity Planning
LinkedIn
Low volume
98%
last
20d ago
Purchase Order
LinkedIn
Low volume
98%
last
14d ago
Manufacturing Execution System
LinkedIn
Low volume
95%
last
13d ago

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Who's active at DATAFOREST

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.

Others5 active
Senior ICresearching Operational Excellence
in
VPresearching Supply Chain
in
Executiveresearching Market Intelligence
in
Executiveresearching Artificial Intelligence
in
VPresearching Advanced Analytics
in
Sales2 active
researching Artificial Intelligence
in
researching S/4HANA
in

Primary products / business lines

LinkedIn company profile

DATAFOREST is Data Engineering and Web Product Development company. We are a TOP-rated custom data-driven solutions provider, helping clients use data for revenue generation and cost optimization. Our services range from integrations seamlessly enriching clients' data to highly-loaded web applications utilizing the newest AI technologies. We work either on a project-based model or allocate a ded

New capability sought

Employee posts (LinkedIn)

Hiring; S/4HANA; Supply Chain

Top accounts researching DATAFOREST

names withheld on the public page

These are companies whose own people brought up DATAFOREST 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

DATAFOREST's own team shows 11 signals on this topic. No one outside DATAFOREST has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Enterprise Resource Planning (ERP)8,209 cos · 28,757 people
  • Operational Excellence8,837 cos · 35,385 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 DATAFOREST.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Leadership — 2 people; Sales — 1 person; Operations — 1 person; Marketing — 1 person

What's been said

public posts mentioning DATAFOREST

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

Public discussion is still being collected

We track LinkedIn, Reddit, X, YouTube, GitHub, Hacker News and Medium for attributable public discussion of DATAFOREST. Nothing has surfaced yet. We publish only verbatim, dated, verifiable quotes — never generated summaries — so this section fills in as real discussion appears.

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Leadership changes

Web / press

AI is flooding the enterprise — but ROI isn’t. | DATAFOREST

Regulatory exposure

Web / press

dataforest GmbH - 2026 Company Profile - Tracxn

About this data. DATAFOREST (dataforest.ai). Department attribution is 36.84%; remaining activity is grouped under Others. Updated 2026-10-03T14:00:03.490Z.

Not yet computedPer-team narrative summaries