Zeer Ciklum / intent / ciklum

Ciklum

1001-5000 employees·London, United Kingdom·ciklum.com

Observed, not inferred · updated weekly

Buying intent

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

49signals · 30 days
74topics tracked
37.93%attributed to a team

Attention by team

LinkedIn activity, by team

Where Ciklum'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
Agentic AI System
Career Development
Kubernetes
Software Development
Engineering
Engineering to Artificial Intelligence: no signal
Medium67% of team Engineering to Hiring: Medium, 67% of this team's signals
Engineering to Agentic AI System: no signal
Engineering to Career Development: no signal
Engineering to Kubernetes: no signal
Low33% of team Engineering to Software Development: Low, 33% of this team's signals
HR
HR to Artificial Intelligence: no signal
Medium100% of team HR to Hiring: Medium, 100% of this team's signals
HR to Agentic AI System: no signal
HR to Career Development: no signal
HR to Kubernetes: no signal
HR to Software Development: no signal
Marketing
Low50% of team Marketing to Artificial Intelligence: Low, 50% of this team's signals
Marketing to Hiring: no signal
Low50% of team Marketing to Agentic AI System: Low, 50% of this team's signals
Marketing to Career Development: no signal
Marketing to Kubernetes: no signal
Marketing to Software Development: no signal
Sales
Medium100% of team Sales to Artificial Intelligence: Medium, 100% of this team's signals
Sales to Hiring: no signal
Sales to Agentic AI System: no signal
Sales to Career Development: no signal
Sales to Kubernetes: no signal
Sales to Software Development: no signal
Operations
Operations to Artificial Intelligence: no signal
Operations to Hiring: no signal
Operations to Agentic AI System: no signal
Low100% of team Operations to Career Development: Low, 100% of this team's signals
Operations to Kubernetes: no signal
Operations to Software Development: no signal
Product
Product to Artificial Intelligence: no signal
Product to Hiring: no signal
Product to Agentic AI System: no signal
Low100% of team Product to Career Development: Low, 100% of this team's signals
Product to Kubernetes: no signal
Product to Software Development: no signal
Others
High33% of team Others to Artificial Intelligence: High, 33% of this team's signals
High22% of team Others to Hiring: High, 22% of this team's signals
Medium11% of team Others to Agentic AI System: Medium, 11% of this team's signals
Low6% of team Others to Career Development: Low, 6% of this team's signals
Medium17% of team Others to Kubernetes: Medium, 17% of this team's signals
Medium11% of team Others to Software Development: Medium, 11% 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
4d ago
Hiring
LinkedIn
High volume
95%
last
3d ago
Agentic AI System
LinkedIn
Medium volume
97%
last
17d ago
Career Development
LinkedIn
Medium volume
96%
last
9d ago
Kubernetes
LinkedIn
Medium volume
92%
last
4d ago
Software Development
LinkedIn
Medium volume
98%
last
4d ago
CI/CD
LinkedIn
Medium volume
97%
last
3d ago
Conversational AI
LinkedIn
Medium volume
97%
last
16d ago
Web Development
LinkedIn
Low volume
98%
last
18d ago
Node.js
LinkedIn
Low volume
98%
last
4d ago
Azure DevOps Services
LinkedIn
Low volume
95%
last
3d ago
Developer Experience
LinkedIn
Low volume
98%
last
3d ago
Cloud Computing
LinkedIn
Low volume
97%
last
3d ago
Talent Acquisition
LinkedIn
Low volume
97%
last
3d ago
AI Agent Software
LinkedIn
Low volume
95%
last
17d ago

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Who's active at Ciklum

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.

Others12 active
Senior ICresearching Artificial Intelligence
in
Leadershipresearching Privacy information
in
Senior ICresearching Software Development
in
researching Kubernetes
in
Leadershipresearching Azure DevOps Services
in
researching Employer of choice
in
researching Demand Generation
in
researching Sales Intelligence
in
researching Employee Engagement
in
IT Director / CTO
Executiveresearching Data Structures
in
Senior Talent Sourcing Consultant
Senior ICresearching Hiring
in
+ 2 more in Others
Engineering7 active
Senior Software Engineer
researching Hiring
in
.NET Developer
Directorresearching Workplace Safety
in
Software Engineer II (QA Test)
researching Sustainability
in
Expert DevOps Engineer
researching Construction
in
Senior .NET Software Engineer
researching Amazon Prime
in
senior js engineer
researching .NET Developers
in
Full Stack Developer
researching Data Science
in
+ 7 more in Engineering
Sales2 active
account manager
researching AI Workload
in
sales director
researching Artificial Intelligence
in
+ 2 more in Sales
HR1 active
Manager/Expert - Talent Fulfilment (L4)
Senior ICresearching Hiring
in
+ 1 more in HR
Operations1 active
Recruitment Operations Specialist
researching Talent Supply
in
+ 1 more in Operations
Marketing1 active
Global Employer Branding Team Lead
Senior ICresearching Agentic AI System
in
+ 1 more in Marketing
Product1 active
Lead Product Manager
Leadershipresearching Career Development
in
+ 1 more in Product

See everyone, not just the first 10

25 people across every department at Ciklum, plus a LinkedIn profile link for each.

Primary products / business lines

LinkedIn company profile

Ciklum is a global Experience Engineering firm that stands at the forefront of innovation, blending next-generation product engineering, exceptional customer experiences, and cutting-edge AI. The business revolutionizes the way people live by developing technologies that reimagine, reshape, and redefine the future. For over 20 years, Ciklum has been a trusted partner to global enterprises and dig

New capability sought

Employee posts (LinkedIn)

AI Agent Software; Azure DevOps Services; Cloud Computing; Developer Experience; Kubernetes; Node.js; Software Development

Top accounts researching Ciklum

names withheld on the public page

These are companies whose own people brought up Ciklum 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

Ciklum's own team shows 9 signals on this topic. No one outside Ciklum 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
  • Agentic AI System30,546 cos · 119,561 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 Ciklum.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Engineering — 7 people; HR / Talent — 4 people; Sales — 2 people; Marketing — 1 person; Security — 1 person; IT — 1 person; Product — 1 person; Leadership — 1 person

What's been said

public posts by Ciklum's team

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

LinkedInArtificial Intelligence

Another year, another Harvard Innovation Labs President's Innovation Challenge in the books! Congrats to the teams behind solar-powered oxygen delivery in Africa, AI for construction site risk, small molecules targeting chronic inflammatory disease, and many more. We spent the last few months going through the 2026 venture batch, and it felt a bit different from the last few cohorts: - 2023 was all about deep tech and biotech. Post-Covid, science and lab breakthroughs dominated - 2024, mostly GenAI wrappers. Some with more systems thinking and differentiation than others... - 2025: Agentic and edge AI deeply integrated into workflows. Robotic braiders, medical devices, diagnostics, all built as enhancers to existing systems. This year, a lot of teams are trying to rebuild whole verticals with AI-native domain-specific infrastructure. The platforms validate, monitor, coordinate, and plug straight into revenue and regulatory logic of their industries. We saw it in healthcare ops, compliance, therapeutics, a few others. What we noticed: - Unit economics and regulatory risk are coming up in pitches earlier than I'm used to - Fewer generic AI wrappers. More domain-native AI shaped by operational constraints of their industry - HealthTech teams in particular are baking reimbursement and compliance into product design from the start The finalists reflect this in different ways: Some are AI-native infrastructure, others are hardware-first or biotech-first. All of them treat the operational reality of their industry as the actual product. To everyone who made it into this year's PIC, and to the winners especially: Well done. #HIL #PIC2026 #Harvard #entrepreneurship #innovation #vc

May 2026
LinkedIn

Excited to kick off a new chapter! 🚀 I’m delighted to share that I’ve joined Blue Altair as a Consultant. Looking forward to collaborating with a talented team, taking on exciting challenges, and continuing to grow both personally and professionally. Here’s to new beginnings, continuous learning, and creating meaningful impact! #NewBeginnings #Consulting #CareerGrowth #ProfessionalJourney

Apr 2026
LinkedIn

Is your "Temporary Field" creating Permanent Debt? 🚩 We’ve all been there. You’re implementing a complex calculation, and you realize you need a place to store a value "just for a second." So, you add a nullable property to your Eloquent Model. It feels harmless. But it’s a classic Code Smell: The Temporary Field. The Problem A class should be a cohesive unit. If 3 out of 10 fields in your class are only used during one specific method call and remain null the rest of the time, you aren't writing OOP—you're creating a "Logic Junk Drawer." It makes the code harder to track, breaks encapsulation, and leaves other developers wondering: "Does this field have a value right now? Is it safe to use?" The Solution? Don't pollute the Model. Instead of making the data live on the object, pass it through a DTO or a dedicated Calculation Class. Why this matters for the long term: Predictability: Your Models stay as pure representations of your data. Testing: You can unit test the calculation without mocking a whole database object. Framework Agnostic: As I’ve discussed before, the more logic you pull out of the "magic" framework layers, the easier it is to maintain (and migrate!) in the future. Don't let your temporary fixes become permanent nightmares. Are you a fan of keeping Models "thin," or do you prefer having everything in one place for speed? Let's discuss in the comments! 👇 #PHP #Laravel #CleanCode #Refactoring #SoftwareArchitecture #WebDevelopment

Apr 2026
LinkedInArtificial Intelligence

After 2 editions mentoring tech students in the Electron hackathon hosted by the Faculty of Electronics, Telecommunications and Information Technology , this year I’m returning as a jury member for the AI & ML track and as the designer of the “Needle in Babel” challenge. 30 teams are building intelligent systems capable of reasoning, retrieving information, understanding, and accurately answering questions, while identifying traps across thousands of pages of noisy PDF documents. I strongly believe that knowledge retrieval is a key next-generation engineering skill in a future where information is more abundant than ever, with applications across all domains. I’m looking forward to discovering the innovative approaches students are building alongside their AI assistants. Thanks for the invitation, Teodora Mîrzan — great to see my former student driving such initiatives — as well as Alexandru ULMĂMEI and Bogdan George Carp , incredibly energetic tech enthusiasts and community event organizers in Romania. #InformationRetrieval #NaturalLanguageProcessing #ComputationalLinguistics #KnowledgeRepresentation #CognitiveSystems

Apr 2026
LinkedIn

Permits Shouldn't Slow You Down In the construction industry, the primary focus is on building, not navigating the complexities of permit applications. Builders often find themselves managing not only crews and client relationships but also the intricate process of securing permits. The challenges are significant: - Approval waits can stretch for weeks, leaving crews idle and increasing overhead costs. - Each municipality has its own set of requirements and forms, creating a constant learning curve. - Permit timelines are trending 10–20% longer in many regions. - More building departments are adopting complex digital submission systems that require precise formatting and documentation. Every correction cycle can cost valuable time and money that small builders simply cannot afford. It's time to streamline this process and focus on what truly matters: building.

Apr 2026

About this data. Ciklum (ciklum.com). Department attribution is 37.93%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries