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Cem Dilmegani

Cem Dilmegani

Principal Analyst
346 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

Enterprise SoftwareMay 8

Top 12 RPA Software & Their Features

Based on our experience with RPA software during our RPA benchmark as well as external market presence metrics like number of reviews and employees, we selected the leading and emerging RPA providers. Below is a summary of the availability of on-premises deployment and built-in process mining features across the top 12 RPA software solutions.

Enterprise SoftwareMay 7

AI Utilities: Top 15 Use cases & case studies

AI adoption can help utilities streamline operations, optimize resource management, enhance customer interactions, and develop new digital services. Learn the real-life examples of AI utilities: AI utilities use cases & real-life examples Energy 1.

Agentic AIMay 7

4 Agentic AI Design Patterns & Real-World Examples

Agentic AI design patterns enhance the autonomy of large language smodels (LLMs) like Llama, Claude, or GPT by leveraging tool-use, decision-making, and problem-solving. This brings a structured approach for creating and managing autonomous agents in several use cases.

Agentic AIMay 7

Top 5 Open-Source Agentic AI Frameworks in 2026

We benchmarked 4 popular open-source agentic frameworks across 2,000 runs (5 tasks, 100 runs each per framework), measuring end-to-end latency, token consumption, and architectural differences. Agentic AI frameworks benchmark We examined how the frameworks themselves influence agent behavior and the resulting impact on latency and token consumption.

Agentic AIMay 7

Multi-Agent Frameworks: Challenges & Strengths

Multi-agent systems use specialized agents working together to solve complex tasks. A key challenge: does performance degrade as more agents and tools are added, or can orchestration mechanisms handle the growing complexity efficiently? We benchmarked 5 agentic frameworks across 750 runs with three tasks.

AIMay 7

Compare Large Vision Models: GPT-4o vs YOLOv8n

Large vision models (LVMs) can automate and improve visual tasks such as defect detection, medical diagnosis, and environmental monitoring. We benchmarked three object detection models: YOLOv8n, DETR, and GPT-4o Vision, across 1,000 images each, measuring metrics such as mAP@0.5, inference speed, FLOPs, and parameter count.

Agentic AIMay 7

Benchmarking Agentic AI Frameworks in Analytics Workflows

Frameworks for building agentic workflows differ substantially in how they handle decisions and errors, yet their performance on imperfect real-world data remains largely untested.

DataMay 7

Best Rotating Proxies in 2026: Residential, Mobile & 4G Ranked

We benchmarked major rotating proxies (residential, datacenter, and mobile) using over 200,000 requests, including 100,000 parallel requests, for major e-commerce and social media sites.

Enterprise SoftwareMay 7

RPA Pricing Compared Across Leading Vendors

We reviewed leading RPA pricing in detail to identify the lowest RPA vendor license fees: See license costs of market-leading solutions for different scenarios with different numbers and types of licenses: RPA pricing calculator Note: We based price estimates on public, verifiable data. Therefore unpublished volume discounts are not included above.

CybersecurityMay 7

Top 10 Microsegmentation Tools in 2026

Microsegmentation divides networks into controlled segments, limiting the spread of breaches. We researched 11 microsegmentation platforms, verifying vendor claims against official product documentation, cross-referencing release notes, and field notices.