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Nazlı Şipi

Nazlı Şipi

AI Researcher
38 Articles
Stay up-to-date on B2B Tech
Nazlı is a data analyst at AIMultiple. She has prior experience in data analysis across various industries, where she worked on transforming complex datasets into actionable insights.

She is also part of the benchmark team, focusing on web data scraping, large language models (LLMs), AI agents, and agentic frameworks.

Nazlı holds a Master’s degree in Business Analytics from the University of Denver.

Latest Articles from Nazlı

AI
Open World Evaluation
Aug 17

Top 12 AI Governance Tools Compared

To map the AI governance landscape, we checked 12 leading platforms for their coverage of 11 core capabilities, and highlighted what each tool does best. End-to-end: Cover both sides of governance, regulatory compliance on one side and technical model testing on the other. Compliance: Handle policy, risk, and audit, but leave the technical model testing…

Data
Benchmark
Aug 14

Best TikTok Scrapers: Scrape Video & Profile Data

A TikTok scraper collects public data from TikTok, including video metadata, profile details, engagement metrics, and comments, without using TikTok’s official API. We tested Bright Data, Apify, and Decodo by running 500 unique TikTok video URLs per provider. We measured two dimensions: validation success rate and the breadth of available metadata fields. See our methodology…

Data
Benchmark
Aug 12

Web Scraping Craigslist: Best Craigslist Scrapers

Craigslist’s page structure has stayed largely unchanged for years, simple, mostly static HTML with minimal JavaScript and few anti-bot defenses. To see how well scrapers handle that simplicity, we ran 500 Craigslist job postings through 5 providers, totaling 2,500 requests, and measured each one’s success rate and completion time. Since all five providers reached %100…

AI
Benchmark
Aug 12

LLM Latency Benchmark by Use Cases

We benchmarked 11 top large language models with a total of 1,320 requests, splitting reasoning and non-reasoning models, and measured first-token latency, per-token latency, and overall response time. You can find details on how we measured latency here. We report reasoning and non-reasoning models separately. Reasoning models spend several seconds thinking before the first visible…

Data
Benchmark
Aug 12

Top 5 Indeed Web Scrapers Compared

We benchmarked 5 web scraping providers on Indeed job postings with 2,500 requests, measuring success rate, completion time, and metadata output. You can read our benchmark methodology for more details on our testing process. Bright Data was the only provider to return structured JSON for Indeed, delivering 25 parsed fields per job posting. The other…

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…

Data
Benchmark
Jul 2

Top 6 Apple App Store Scrapers: Bright Data, SerpAPI & Zyte

We benchmarked 6 web scraping providers against 1,000 Apple App Store pages, for a total of 6,000 requests, and measured success rate, completion time, and the number of metadata fields each provider returned. Since all providers achieved 100% success rates, we focused our comparison on the number of metadata fields returned and end-to-end response times.…

Data
Insight
May 20

Top 6 Food Delivery Scrapers: Benchmark & Use Cases

We benchmarked 6 web scraping providers to see how they handle food delivery data scraping, sending 12,000 requests in total across the top 4 food delivery platforms, and measured success rate, completion time, and metadata coverage. See the benchmark methodology section for more details on the testing process. Different platforms expose different layers of data,…