Services
Contact Us
Cem Dilmegani

Cem Dilmegani

Principal Analyst
300 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 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 Software
Open World Evaluation
Jul 30

Top 10+ Mobile Device Management Software with Pricing

Companies are expected to maintain an efficient and safe IT environment. In contrast to on-premise work environments, remote and hybrid work require careful IT configuration, with a special emphasis on mobile devices. Mobile Device Management (MDM) software is evaluated on security, ease of use, granular control, scalability, and pricing models. See leading mobile device management…

Cybersecurity
Insight
Jul 30

Top 8 SIEM Use Cases and Real-life Examples 

SIEM addresses this by correlating data across the entire environment, endpoints, networks, cloud applications, and authentication systems to surface connections that no single tool would catch. A login at 2 am isn’t suspicious on its own. That same login, combined with a spike in outbound transfers and a new USB device, is a different story.…

Cybersecurity
Open World Evaluation
Jul 30

Top 6 Endpoint Management Software with Prices

The most common case of cybercrime is unauthorized access to unmanaged devices.15 As hybrid work models and bring-your-own-device (BYOD) policies become standard practice, endpoint management software, such as NinjaOne Endpoint Management and Acronis Cyber Protect, has evolved from a convenience into a necessity. We analyzed the leading endpoint management platforms based on their differentiating features,…

Data
Insight
Jul 30

Top 15 Training Data Platforms

A model is as good as the data it learns from. Supervised models need accurate, well-labeled examples to make correct predictions. Training data platforms cover the steps between raw data and a usable dataset: sourcing, labeling, and quality checks. See the top training data platforms, split by data marketplaces and data labeling tools, and mapped…

Enterprise Software
Open World Evaluation
Jul 30

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. Built-in…

Data
Insight
Jul 30

Top 25+ Synthetic Data Use Cases

Synthetic data is gaining widespread popularity and applicability across industries, including machine learning, deep learning, and generative AI (GenAI). Synthetic data offers solutions to challenges such as data privacy concerns and limited dataset sizes. It is estimated that synthetic data will be preferred over real data in AI models by 2030.26 We listed the capabilities…

Cybersecurity
Feature Comparison
Jul 30

DLP Pricing: Compare Top 5 Vendors

A data loss prevention (DLP) software offering features similar to those of another can be twice as expensive. We analyzed 18 DLP tools. The top 5 solutions that offered pricing information on their websites are compared. Save on the total cost of ownership by comparing the pricing for some of the top DLP software: *…

Agentic AI
Insight
Jul 30

Large Action Models: Hype or Real?

Following the launch of Rabbit, an AI device that can use mobile apps, the term large action models (LAMs) is getting popular. These models move beyond conversation by turning LLMs into “agents” that can connect the siloed, app-driven world without requiring users to click on apps or integrate APIs. The line between hype and reality…

AI
Insight
Jul 30

GPT-5: Features, Benchmarks, Pricing, and Comparison

OpenAI released the GPT-5.6 model family on July 9, 2026. The family includes GPT-5.6 Sol for complex reasoning and professional workflows, GPT-5.6 Terra as a balanced option, and GPT-5.6 Luna for faster, cost-sensitive workloads. We examine their specifications, published benchmark results, pricing, availability, and differences from previous GPT models. The three GPT-5.6 models use the…

Data
Benchmark
Jul 29

VPN Benchmark of Top 5 VPN Providers

We tested six leading consumer VPN services, measuring throughput against a clean baseline, packet drops over 15 minutes per provider, CPU and RAM use on macOS, and VPN connection behavior under load. Our test on VPN providers show that best VPN services change based on different needs. We combined the six measurements into two scores:…