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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
Aug 11

Top 7+ Hybrid Cloud Job Schedulers in 2026

Enterprises should leverage both the cloud and on‑premises systems to meet diverse data-storage and compute requirements. Explore workload automation solutions for hybrid cloud automation and follow the links on the vendors for our rationale: *Ratings are based on B2B user review platforms. The vendors are ranked according to their ratings and reviews except for ActiveBatch…

Agentic AI
Benchmark
Aug 11

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…

Data
Benchmark
Aug 11

2026 Web Crawler Benchmark to Feed Websites to AI

We benchmarked four crawl APIs across three domains of varying difficulty at three max depth levels (5, 10, 20) with a 1,000-page limit, measuring crawl coverage, execution time, link discovery, markdown link quality, and title extraction accuracy. If you aim to: You can read our benchmark methodology. Firecrawl consistently crawled around 100 pages on theregister.com…

AI
Insight
Aug 11

Recommendation Systems: Applications and Examples

We examined the main types of recommendation systems, key concepts, and real-world applications, and benchmarked LightFM, Cornac BPR, and TensorFlow Recommenders using AUC, Precision@10, and Recall@10. These libraries implement machine learning algorithms to process training data and generate personalized recommendations using collaborative or content-based filtering techniques. Additionally, these libraries implement machine learning models to analyze…

Agentic AI
Benchmark
Aug 11

15 AI Agent Observability Tools: AgentOps & Langfuse

AI agent observability tools, such as Langfuse and Arize, help gather detailed traces (a record of a program or transaction’s execution) and provide dashboards to track metrics in real time. Many agent frameworks, like LangChain, use the OpenTelemetry standard to share metadata with agentic monitoring. On top of that, many observability tools provide custom instrumentation…

AIAug 11

LLM Pricing: Top 15+ Providers Compared

LLM pricing spans three orders of magnitude: the cheapest commodity models cost under $0.20 per million tokens, while frontier reasoning tiers launched as high as $262.50. The chart below tracks how launch prices moved: each model sits at its launch date with its launch list price per million tokens, blended at a 3:1 input-to-output ratio,…

AI
Open World Evaluation
Aug 11

Compare Top 53 Legal AI Software by Pricing

In the last 2 decades, I worked with enterprises as a consultant and tech vendor to deploy advanced analytics & AI solutions. I looked into more than 50 legal tech companies using generative AI and categorized the leading products. Click the category names below to see leading players in that category: Explore more details on…

AI
Feature Comparison
Aug 11

Top 30+ AI Chip Makers: NVIDIA & Its Competitors

Based on our experience running AIMultiple’s cloud GPU benchmark with 10 different GPU models in 4 different scenarios, these are the top AI hardware companies for data center workloads. *Selected AI chip is the part, platform, or announced project that best represents each vendor. Some entries are systems, services or licensable IP rather than a…

AI
Insight
Aug 11

AI Fail: 10 Root Causes & Real-life Examples

Whether it’s a self-driving car crash, a biased algorithm, or a breakdown in a customer service chatbot, failures in deployed AI systems can have serious consequences and raise important ethical and societal questions. By identifying and addressing the underlying issues, companies can mitigate the risks associated with AI and ensure that it is used safely…

Enterprise Software
Insight
Aug 11

Types of Virtual Reality & Use Cases in 2026

Gartner names spatial computing a top strategic trend projected to reach $1.7 trillion by 2033.150 Virtual reality (VR) and augmented reality (AR) are the core technologies behind this market. Explore VR types, use cases and challenges: Virtual Reality (VR) refers to the usage of computer technology to create three-dimensional (3D) artificial environments that users can…

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