Zeer iBASIS / intent / ibasis

iBASIS

201-500 employees·Burlington, Massachusetts, United States·ibasis.com

Observed, not inferred · updated weekly

Buying intent

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

17signals · 30 days
15topics tracked
87.5%attributed to a team

Attention by team

LinkedIn activity, by team

Where iBASIS'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
Cloud-Native Security
Resource Management
Chief Operating Officer
Healthcare Providers
Error Handling
Engineering
High40% of team Engineering to Artificial Intelligence: High, 40% of this team's signals
Medium20% of team Engineering to Cloud-Native Security: Medium, 20% of this team's signals
Medium20% of team Engineering to Resource Management: Medium, 20% of this team's signals
Engineering to Chief Operating Officer: no signal
Engineering to Healthcare Providers: no signal
Medium20% of team Engineering to Error Handling: Medium, 20% of this team's signals
HR
HR to Artificial Intelligence: no signal
HR to Cloud-Native Security: no signal
HR to Resource Management: no signal
Medium100% of team HR to Chief Operating Officer: Medium, 100% of this team's signals
HR to Healthcare Providers: no signal
HR to Error Handling: no signal
Sales
Sales to Artificial Intelligence: no signal
Sales to Cloud-Native Security: no signal
Sales to Resource Management: no signal
Sales to Chief Operating Officer: no signal
Medium100% of team Sales to Healthcare Providers: Medium, 100% of this team's signals
Sales to Error Handling: no signal
Others
Medium100% of team Others to Artificial Intelligence: Medium, 100% of this team's signals
Others to Cloud-Native Security: no signal
Others to Resource Management: no signal
Others to Chief Operating Officer: no signal
Others to Healthcare Providers: no signal
Others to Error Handling: 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
91%
last
3d ago
Cloud-Native Security
LinkedIn
Medium volume
98%
last
28d ago
Resource Management
LinkedIn
Medium volume
96%
last
28d ago
Chief Operating Officer
LinkedIn
Medium volume
98%
last
30d ago
Healthcare Providers
LinkedIn
Medium volume
94%
last
14d ago
Error Handling
LinkedIn
Medium volume
98%
last
19d ago
Resource Allocation
LinkedIn
Medium volume
98%
last
28d ago
Generative AI
LinkedIn
Medium volume
98%
last
19d ago
Software Development
LinkedIn
Medium volume
96%
last
19d ago
Electrical Engineering and Planning
LinkedIn
Medium volume
98%
last
10d ago
Hiring
LinkedIn
Medium volume
98%
last
10d ago
Healthcare Professionals
LinkedIn
Medium volume
96%
last
14d ago
Event-Driven
LinkedIn
Medium volume
98%
last
28d ago
Kubernetes
LinkedIn
Medium volume
92%
last
28d ago
Future of Work
LinkedIn
Medium volume
98%
last
19d ago

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Who's active at iBASIS

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.

Engineering2 active
researching Event-Driven
in
Product1 active
Leadershipresearching Electrical Engineering and Planning
in
Sales1 active
researching Healthcare Professionals
in
Others1 active
researching Artificial Intelligence
in
HR1 active
researching Chief Operating Officer
in

Primary products / business lines

LinkedIn company profile

iBASIS is the independent force driving transformation in global communications. iBASIS drives innovative models, pragmatic execution, proactive strategies, and deep industry relationships that help manage the complexities in voice, messaging, mobile, and IoT businesses. iBASIS sets global connectivity, quality, and security standards—delivering critical value and returns across voice, SMS A2P me

Top accounts researching iBASIS

names withheld on the public page

These are companies whose own people brought up iBASIS 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

iBASIS's own team shows 3 signals on this topic. No one outside iBASIS has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Cloud-Native Security2,685 cos · 7,943 people
  • Resource Management89 cos · 238 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 iBASIS.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Engineering — 2 people; Product — 1 person; HR / Talent — 1 person; Sales — 1 person

What's been said

public posts mentioning iBASIS

Up to 9 public excerpts naming iBASIS 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 iBASIS. 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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About this data. iBASIS (ibasis.com). Department attribution is 87.5%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries