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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
Benchmark
Jul 1

Computer Use Agents: Benchmark & Architecture

Computer-use agents operate real desktops and web apps. Their designs, limits, and trade-offs are often unclear. We break down how leading systems work, how they learn, and how their architectures differ. We also reference a focused UI-grounding benchmark on 100 desktop screenshots, across 4 task types and 5 runs per sample. It isolates the quality…

Agentic AI
Benchmark
Jul 1

Mobile AI Agents Tested Across 65 Real-World Tasks

We spent 3 days benchmarking four mobile AI agents (DroidRun, Mobile-Agent, AutoDroid, and AppAgent) across 65 real-world tasks using an Android emulator with applications such as calendar management, contact creation, photo capture, audio recording, and file operations. See benchmark results including real-world performance comparison, costs and execution times: Highest success rate (43%) with high cost…

AI
Benchmark
Jul 1

Invoice OCR Benchmark: Extraction Accuracy of LLMs vs OCRs

Invoice processing is a critical yet labor-intensive business operation that traditionally requires manual data extraction and entry into accounting systems. This manual approach is time-consuming and susceptible to human error. To evaluate automated alternatives, we conducted a comparative analysis of leading document processing solutions and LLMs: Our study assessed these tools’ capabilities in accurately extracting…

Agentic AI
Benchmark
Jul 1

MCP Benchmark: Top MCP Servers for Web Access

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. We also performed a load test involving 250 concurrent AI agents. *Web search & extraction tasks are run with Bright Data’s default MCP server, browser automation tasks are…

AI
Open World Evaluation
Jul 1

Top 15 Open Source AI Platforms & Libraries

Deploying your own AI model or, in some cases, fine-tuning pre-existing models comes with several challenges: Open-source platforms that offer unified APIs help address these challenges by enabling multi-cloud deployment and optimizing GPU resource management. Below, we list 15 examples of open source platforms/libraries: When choosing these platforms, we focused mainly on how well they…

AI
Feature Comparison
Jul 1

Compare Google Dialogflow and Its Competitors

Tech giants such as Google, IBM, Microsoft, Amazon, and Facebook are investing in conversational AI to enable developers to build chatbots easily. These AI-powered chatbots can automate various routine tasks such as sending emails, searching for information on search engines, etc. We have collected essential information about Google Dialogflow and compared it to its main…

Agentic AI
Insight
Jul 1

Top 30+ Agentic AI Companies

Though AI agents are being hyped and some companies rebrand their chatbots as agentic tools, there are still a few agents in production. Previously, we benchmarked several capable AI agents over several real-world tasks. We listed: These companies primarily focus on agentic AI research and development, offering initiatives like ethical AI guidelines and environments for…

Enterprise Software
Feature Comparison
Jul 1

AutoSys: Key Features and User Insights

Interest in Broadcom’s AutoSys is declining (Source: Google Trends) and it has a lower average rating on review platforms compared to most other workload automation tools. This may be partially explained by: Dive into AutoSys’s capabilities, user evaluations, and outlook to learn more: AutoSys was originally developed by CA Technologies and acquired by Broadcom in…

AI
Insight
Jun 30

Wu Dao 3.0: China's Version of GPT-5

When the US cut off China’s access to advanced chips, the Beijing Academy of Artificial Intelligence faced a choice: complain about restrictions or work around them. They picked the second option. Wu Dao 3.0, launched in July 2023, throws out the playbook. No massive trillion-parameter models competing for headlines. Instead, BAAI now builds compact models…

AI
Open World Evaluation
Jun 30

Best 10 Serverless GPU Clouds & 14 Cost-Effective GPUs

Serverless GPU can provide easy-to-scale computing services for AI workloads. However, their costs can be substantial for large-scale projects. Navigate to sections based on your needs: Serverless GPU providers offer different performance levels and pricing for AI workloads. Compare the most cost-effective GPU configurations for your fine-tuning and inference needs across leading serverless platforms: You…