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Cem Dilmegani

Cem Dilmegani

Principal Analyst
306 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

RMM Pricing in 2026: 10 Products Analyzed

RMM tools don’t make pricing easy to compare. Some charge per device, some per technician, and the difference adds up fast depending on how your team is structured. We reviewed 10 pricing models and put together a calculator so you can run the numbers for your setup. Pricing comparison for 10 RMM solutions These calculations…

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. ProductOn-Premise…

Agentic AIMay 7

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…

Enterprise SoftwareMay 6

Top 7 GoAnywhere Alternatives in 2026

GoAnywhere is a secure file transfer platform used by enterprises to exchange data securely. Whether you’re in search of more advanced features, diverse pricing options, or superior customer service, our curated list of alternatives offers the insights you need to make a well-informed choice. We prepared an overview of the top alternatives to GoAnywhere MFT,…

DataApr 28

Best Amazon Mechanical Turk Alternatives

Our analysis explores some downsides of using Amazon Mechanical Turk (MTurk), a popular platform for AI data collection and market research. It also compares the top alternatives to Amazon Mechanical Turk. Readers fall into three categories. Select yours to see the most relevant alternatives: Alternatives for MTurk workers. Alternatives for MTurk requestors or customers. Survey…

CybersecurityApr 28

Top 5 Network Security Policy Management Solutions

I have identified the top 5 NSPM solutions, multi-vendor and vendor-native tools, based on my & other users’ experiences and vendor features. Follow the links to see the reasoning behind these selections: Top 5 NSPM tools Digital companies should utilize network security policy management solutions (NSPM) to govern, monitor, and enforce policies across their entire…

DataApr 27

Best Appen Alternatives in 2026 for Workers & Customers

We analyzed the top Appen alternatives by comparing worker review ratings from Trustpilot, crowd size, payment schedules, and publicly available company data. The alternatives differ significantly depending on what you need from Appen. Browse by role: Workers or contributors. Customers or buyers who rely on data from Appen. Appen alternatives for workers AlternativesWorker ratings*Payment schedule**Pricing…

DataApr 24

No-Code Financial Data Scraping: Tools & Compliance Tips

While official financial data providers do offer APIs, these are often limited in scope, access, or flexibility for real-time or niche data needs. Financial data scraping has become a common approach to collecting such information, typically using technologies such as web scrapers, headless browsers, and open-source crawlers, which can be paired with proxy/unblocking services when…

AIApr 24

LLM Inference Engines: vLLM vs LMDeploy vs SGLang

We benchmarked 3 leading LLM inference engines on NVIDIA H100: vLLM, LMDeploy, and SGLang. Each engine processed identical workloads: 1,000 ShareGPT prompts using Llama 3.1 8B-Instruct to isolate the true performance impact of their architectural choices and optimization strategies. EnginesBest for vLLM-Prototyping and experimentation across 100+ model architectures -Multi GPU environments (NVIDIA, AMD, Intel) LMDeploy-Production…

AIApr 24

Vision Language Models Compared to Image Recognition

Can advanced Vision Language Models (VLMs) replace traditional image recognition models? To find out, we benchmarked 16 leading models across three paradigms: traditional CNNs (ResNet, EfficientNet), VLMs ( such as GPT-4.1, Gemini 2.5), and Cloud APIs (AWS, Google, Azure). Mean Average Precision (mAP) served as our primary accuracy metric, supplemented by latency, cost and class-specific…