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Cem Dilmegani

Cem Dilmegani

Principal Analyst
706 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 enterprises can leverage new technologies in AI, automation, cybersecurity (including network security, application security), data collection including web data collection and process intelligence.

Cem's hands-on enterprise software experience contributes to his work. Other AIMultiple industry analysts and 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

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 AIAug 23

Best 30+ Open Source Web Agents

In our benchmarks, we tested proprietary web agents and remote browsers. In this article, we listed open-source web agents that enable AI agents to navigate, interact with, and extract data from the web, including tasks like browsing, authentication, and web  crawling: Open-source web agents: Accuracy benchmark See benchmark sources.

AIJul 25

Top 20+ Open Source AI Coding Agents & Frameworks

In prior evaluations, we benchmarked proprietary, paid AI coding agents such as Cursor, focusing on their performance in API development and app building tasks. In this article, we listed the leading open-source AI coding agents, organized by functional category: 🛠️ Developer tools Tools or extensions that help developers generate, review, or debug code.

Agentic AIJul 30

Open Operator: A Free Alternative to OpenAI's Operator

Early in 2025, OpenAI announced Operator, a new research preview of ChatGPT that serves as an agent for repetitive activities. It can browse for plane tickets, book a table, or shop online, and execute daily digital tasks for you on its own.

AISep 24

LLM Latency Benchmark by Use Cases

The effectiveness of large language models (LLMs) is determined not only by their accuracy and capabilities but also by the speed at which they engage with users. We benchmarked the performance of leading language models across various use cases, measuring their responsiveness to user input.

Agentic AIOct 3

Top 5 Open-Source Agentic Frameworks

I reviewed several popular open-source AI agent frameworks. In this article, I break down each framework’s multi-agent orchestration capabilities, agent and function definitions, memory handling, and human-in-the-loop support, exploring how each one operates and how easy it is to get started.

Agentic AISep 27

MCP Benchmark: Top MCP Servers for Web Access

MCP (Model Context Protocol) establishes a standardized communication bridge between AI agents and applications, allowing AI apps and LLMs to interact with external tools and services. We benchmarked 8 MCP servers across web search and extraction, as well as browser automation tasks, by running 4 different tasks 5 times on all suitable MCPs.

AISep 30

Top 9 AI Infrastructure Companies & Applications

Many organizations invest heavily in AI, yet most projects fail to scale. Only 10-20% of AI proofs of concept progress to full deployment. A key reason is that existing systems are not equipped to support the demands of large datasets, real-time processing, or complex machine learning models.

DataSep 24

Remote Browsers: Web Infra for AI Agents Compared

AI agents rely on remote browsers to automate web tasks without being blocked by anti-scraping measures. The performance of this browser infrastructure is critical to an agent’s success. We benchmarked 8 providers on success rate, speed, and features.

Agentic AIJul 25

Best 10+ Commercial & Open Source AI Agents in Sales

AI SDRs support sales teams by automating key parts of the sales outreach process. These agents integrate with CRMs, email tools, and outreach platforms, and improve over time through feedback and performance data for sales operations.

AIJul 21

Top 6 Social Media Post Generator Benchmark

Generative AI is playing a significant role in the creation and management of social media content. As more tools offer features like caption writing, image selection, and post scheduling, it’s helpful to understand how they compare.

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