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Cem Dilmegani

Cem Dilmegani

Principal Analyst
305 Articles
Stay up-to-date on B2B Tech
Cem has been the principal analyst at AIMultiple for almost a decade.

Cem's work at AIMultiple has been cited by leading global publications including Business Insider, Forbes, Morning Brew, Washington Post, global firms like HPE, NGOs like World Economic Forum and supranational organizations like European Commission. [1], [2], [3], [4], [5]

Professional experience & achievements

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider. [6], [7]

Research interests

Cem's work focuses on how enterprise AI and software.

Cem's hands-on enterprise software experience contributes to his work. Other AIMultiple industry analysts and the tech team support Cem in designing, running and evaluating benchmarks.

Education

He graduated as a computer engineer from Bogazici University in 2007. During his engineering degree, he studied machine learning at a time when it was commonly called "data mining" and most neural networks had a few hidden layers.

He holds an MBA degree from Columbia Business School in 2012.

Cem is fluent in English and Turkish. He is at an advanced level in German and beginner level in French.

External publications

Media, conference & other event presentations

Sources

  1. Why Microsoft, IBM, and Google Are Ramping up Efforts on AI Ethics, Business Insider.
  2. Microsoft invests $1 billion in OpenAI to pursue artificial intelligence that’s smarter than we are, Washington Post.
  3. Empowering AI Leadership: AI C-Suite Toolkit, World Economic Forum.
  4. Science, Research and Innovation Performance of the EU, European Commission.
  5. EU’s €200 billion AI investment pushes cash into data centers, but chip market remains a challenge, IT Brew.
  6. Hypatos gets $11.8M for a deep learning approach to document processing, TechCrunch.
  7. We got an exclusive look at the pitch deck AI startup Hypatos used to raise $11 million, Business Insider.

Latest Articles from Cem

Agentic AI
Feature Comparison
Jul 21

OpenClaw Alternatives: Hermes vs ZeroClaw vs PicoClaw

Autonomous AI agents, such as OpenClaw and Hermes agent, automate multi-step tasks that would normally require constant human input. While OpenClaw has become the most widely adopted always-on autonomous agent, many users are seeking alternatives due to its challenging deployment process and complex configuration requirements. We provide 4 leading OpenClaw alternatives, highlighting their key capabilities…

Cybersecurity
Benchmark
Jul 21

Backup software benchmark: Acronis vs NinjaOne vs Comet vs MSP360

We benchmarked NinjaOne Backup, Acronis Cyber Protect Cloud Backup, Comet Backup, and MSP360 Managed Backup on identical AWS infrastructure. Each vendor ran a file-mode backup of the same 625,946-file / 50 GB workload and a full image backup of the system disk, then restored the 15 GB medium subdirectory. Here are the four backup products…

AI
Insight
Jul 21

25 Healthcare AI Use Cases with Examples

A recent study shows that hybrid teams of human clinicians and AI systems make more accurate medical diagnoses, largely because they tend to make different and complementary errors that help correct one another. These findings indicate strong potential of AI to enhance patient safety and promote more equitable healthcare.14 How do healthcare AI systems perform?…

AI
Insight
Jul 20

Top 12 SEO AI Use Cases with Case Studies

As algorithms change and consumer expectations rise, it has become more challenging to compete for accessibility in search results. Conventional SEO techniques, which depend on manual research and minor updates, frequently fall behind these developments. AI-powered SEO tools address this challenge by automating complex tasks and aligning content more precisely with user intent. Explore the…

Agentic AI
Benchmark
Jul 20

Top Agent Harnesses: Claude Code vs Codex

Agent harnesses serve as the production runtime for AI agents, with design choices that create performance variation across identical underlying models. We benchmarked 17 agent harnesses across 10 coding tasks. To isolate the harness rather than the model, we ran every agentic CLI on a single foundation model, Claude Sonnet 4.6 (non-reasoning), and AI code…

Data
Insight
Jul 20

Automated Data Collection Tools & Use Cases in 2026

Automated data collection uses systems to gather, process, and analyze information efficiently. Since automated data comes from multiple sources in various formats, understanding the different types and their origins is essential to implementing it effectively. Data collection automation uses scripts, bots, APIs, or dedicated platforms to gather, organize, and store data from multiple sources without…

Cybersecurity
Insight
Jul 18

Explore Top 10 Privacy Enhancing Technologies

Even with regulations like GDPR and CCPA, consumer data is often exposed to hackers, companies, and governments. As businesses share data with third parties to improve network visibility, the risk of leaks grows. Privacy Enhancing Technologies (PETs) help companies use this data while keeping personal or sensitive information private. Explore the top 10 PET tools…

Agentic AI
Insight
Jul 18

40+ Agentic AI Use Cases with Real-life Examples

Autonomous generative AI agents execute complex tasks with little or no human supervision. Agentic AI differs from chatbots and co-pilots. Unlike traditional AI, particularly generative AI, which often requires human intervention in complex workflows, agentic AI aims to autonomously navigate and optimize processes thanks to its decision-making capabilities and goal-directed behavior. AI agents serve as:…

AI
Benchmark
Jul 17

Text-to-SQL: Comparison of LLM Accuracy

I have relied on SQL for data analysis for 18 years, beginning in my days as a consultant. Translating natural-language questions into SQL makes data more accessible, allowing anyone, even those without technical skills, to work directly with databases. We used our text-to-SQL benchmark methodology on 35+ large language models (LLMs) to assess their performance…

AI
Benchmark
Jul 17

Top 20+ Agentic RAG  Frameworks

Agentic RAG enhances traditional RAG by boosting LLM performance and enabling greater specialization. We conducted a benchmark to assess its performance on routing between multiple databases and generating queries. Explore agentic RAG frameworks and libraries, key differences from standard RAG, benefits, and challenges to unlock their full potential. We used our agentic RAG benchmark methodology…

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