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Enterprise AI & Software Benchmarks

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Best LLMs for Extended Context Windows

AI MemoryOct 27

We analyzed the context window performance of 22 leading AI models by testing them using a proprietary 32-message conversation that includes complex synthesis tasks requiring information recall from earlier in the conversation. Our findings are interesting. Smaller models often beat their larger counterparts, and most models fail well before their advertised limits.

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AI HardwareNov 27

GPU Marketplace: Shadeform vs Prime Intellect vs Node AI

Finding available GPU capacity at reasonable prices has become a critical challenge for AI teams. While major cloud providers like AWS and Google Cloud offer GPU instances, they’re often at capacity or expensive. GPU marketplace aggregators have emerged as an alternative, connecting users to dozens of providers through a single interface.

LLMsNov 26

LLM Scaling Laws: Analysis from AI Researchers

Large language models are usually trained as neural language models that predict the next token in natural language. The term LLM scaling laws refers to empirical regularities that link model performance to the amount of compute, training data, and model parameters used when training models.

AINov 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.

AI ProductivityNov 25

AI Agent Productivity: Maximize Business Gains

AI agent productivity is emerging as a measurable driver of business output. Studies report up to 30% productivity gains, indicating that agents can handle procedural steps, retrieve information, and interact with enterprise systems with consistent accuracy.

AI in IndustriesNov 25

1k under 1k: B2B AI Products You Can Try Today

We analyzed 1,000+ B2B AI products with fewer than 1,000 employees on LinkedIn.The companies below represent accessible solutions you can implement today.  Selecting the top b2b AI Product Sorting by alphabetical order. For access to our complete database of 1,000+ AI companies, please reach out to us.

Web DatasetsNov 22

5 Best Social Media Datasets

We compared five leading social media data providers, focusing on the types of social data they offer and the platforms they include. Our evaluation finds vendors fall into two groups: those offering content-level social media data (posts, comments, engagement) and those providing profile- or identity-level data (social handles, professional profiles, company info).

Web DatasetsNov 22

Best Glassdoor Datasets

Glassdoor datasets offer valuable insights into job listings, employer reviews, and salaries, but they are not the exclusive source of labor-market or employer-brand data. In this article, we review the four top providers of Glassdoor datasets: Bright Data, Coresignal, Oxylabs, and Actowiz.

Social Media ScrapingNov 22

Best Glassdoor Scraper Tools and Python Tutorial

Scraping job listings from Glassdoor is challenging due to login walls, overlays, CAPTCHA, and HTML changes. The moment you load the site, you often encounter login prompts, pop-up overlays, CAPTCHA, and aggressive bot detection. The page structure also changes frequently, breaking HTML scrapers.

LLMsNov 20

Relational Foundation Models: SAP vs. Gradient Boosting

We benchmarked SAP-RPT-1-OSS against gradient boosting (LightGBM, CatBoost) on 17 tabular datasets spanning the full semantic-numeral spectrum, small/high-semantic tables, mixed business datasets, and large low-semantic numerical datasets.

AI HardwareNov 24

DGX Spark: Benchmarks & Alternatives

NVIDIA’s DGX Spark entered the desktop AI market in October 2025 at $3,999, positioning itself as a “desktop AI supercomputer.” The system packs 128GB of unified memory and promises one petaflop of FP4 AI performance in a Mac Mini-sized chassis.

AI AgentsNov 27

Building Local AI Agents: Goose, Observer AI, AnythingLLM

We spent three days mapping the ecosystem of local AI agents that run autonomously on personal hardware without depending on external APIs or cloud services. We organized the tools we evaluated into five categories: Local AI agent stack See category descriptions.

DataNov 15

Compare Top 20 Test Data Management Tools

Test data management tools (TDM) ensure quick delivery of high-quality test datasets to development environments, supporting the shift to agile DevOps methodologies.

AI HardwareNov 19

Top 10 Edge AI Chip Makers with Use Cases

The demand for low-latency processing has driven innovation in edge AI chips. These processors are designed to perform AI computations locally on devices rather than relying on cloud-based solutions. Based on our experience analyzing AI chip makers, we identified the leading solutions for robotics, industrial IoT, computer vision, and embedded systems.

AI HardwareNov 17

GPU Software for AI: CUDA vs. ROCm

Raw hardware specifications tell only half the story in GPU computing. To measure real-world AI performance, we ran 52 distinct tests comparing AMD’s MI300X with NVIDIA’s H100, H200, and B200 across multi-GPU and high-concurrency scenarios.

LLMsNov 24

Compare Multimodal AI Models on Visual Reasoning

We benchmarked 8 leading multimodal AI models on visual reasoning using 98 visual-based questions. The evaluation consisted of two tracks: 70 Chart Understanding questions testing data visualization interpretation, and 28 Visual Logic questions assessing pattern recognition and spatial reasoning. Visual reasoning benchmark See our benchmark methodology to learn our testing procedures.

RAGNov 17

Benchmark of 11 Best Open Source Embedding Models for RAG

Most embedding benchmarks measure semantic similarity. We measured correctness. We tested 11 open-source models on 490,000 Amazon product reviews, scoring each by whether it retrieved the right product review through exact ASIN matching, not just topically similar documents. Open source embedding models benchmark overview We evaluated retrieval accuracy and speed across 100 manually curated queries.

Agentic AINov 10

AI Browser Security Risks: ChatGPT Atlas and Comet

Agentic AI browsers now handle your banking, emails, and private documents. A single malicious link can turn these assistants against you. Recent discoveries in Perplexity’s Comet browser reveal how attackers exploit prompt injection to steal credentials, exfiltrate data, and hijack authenticated sessions.

ITSMNov 7

Agentic AI in ITSM: Use Cases with Examples

Agentic AI in ITSM marks a practical shift in how organizations manage IT operations and service delivery. Instead of relying on static automation or predefined workflows, agentic AI enables contextual reasoning, allowing AI agents to act autonomously within IT environments.

CybersecurityNov 12

15 Security Threats to LLM Agents (with Real-World Examples)

Even a few years ago, the unpredictability of large language models (LLMs) would have posed serious challenges. One notable early case involved ChatGPT’s search tool: researchers found that webpages designed with hidden instructions (e.g., embedded prompt-injection text) could reliably cause the tool to produce biased, misleading outputs, despite the presence of contrary information.

Security ToolsNov 10

Top PAM Solutions: 8 Commercial Vendors + Free Alternatives

We spent three days testing and reviewing popular Privileged Access Management (PAM) solutions. We used the free trials and admin consoles of BeyondTrust, Keeper PAM, and ManageEngine PAM360. For solutions that required registration, we relied on official product documentation and user experiences to assess their capabilities.

Security ToolsNov 27

Top 5 SaaS Backup Solutions for MSPs

Many businesses operate under the misconception that their SaaS providers (like Microsoft 365 or Google Workspace) fully protect their data from all threats. While these platforms offer robust infrastructure and some level of data redundancy, they do not protect against accidental deletion, ransomware, or insider threats.

Agentic FinanceNov 12

Agentic Payments & Commerce: Tools, Use Cases & Benefits

Agentic AI is moving from a concept to a critical piece of modern infrastructure. This transformation is massive: the Agentic AI industry is estimated to reach $155B by 2030.

LLMsOct 31

The LLM Evaluation Landscape: 16 Frameworks by Functionality

We spent 2 days reviewing popular LLM evaluation frameworks that provide structured metrics, logs, and traces to identify how and when a model deviates from expected behavior.

RAGNov 12

RAG Frameworks: LangChain vs LangGraph vs LlamaIndex vs Haystack vs DSPy

We benchmarked 5 RAG frameworks: LangChain, LangGraph, LlamaIndex, Haystack, and DSPy, by building the same agentic RAG workflow with standardized components: identical models (GPT-4.1-mini), embeddings (BGE-small), retriever (Qdrant), and tools (Tavily web search). This isolates each framework’s true overhead and token efficiency.

DatabasesNov 2

Top 5 Open Source Database Monitoring Tools

Commercial database monitoring tools often promise polished user interfaces and dedicated enterprise support. Open-source solutions are increasingly chosen for their transparency, cost-effectiveness, community-driven innovation, and flexibility. We’ve analyzed both approaches to understand the current landscape.

AIOct 28

AI Adoption in Manufacturing: Insights from 100 Companies

Our analysis of the top 100 manufacturing companies by revenue from the Forbes Global 2000, spanning automotive, industrial equipment, chemicals, consumer electronics, and more across 15 countries, reveals two clear patterns in how manufacturers approach artificial intelligence. Our analysis examines two key indicators of AI maturity: Methodology 1.

AI AgentsOct 24

Building Personal AI Agents + 18 Agent Platforms and Tools

We spent the two days experimenting with real-world demos and tools to build personal AI assistants that can handle your tasks, such as scheduling meetings, managing notes, or sorting through emails. We will dive into three main approaches to building and using personal AI assistants, with real-world examples for each: 1.

AI ProductivityOct 23

Top AI Document Generator Tools

AI document generators promise to create documents, presentations, and even websites from just a short prompt.

AI AgentsOct 24

Building AI Agents with Anthropic's 6 Composable Patterns

We spent 3 days experimenting workflows and agent pipelines in n8n according to Anthropic’s and OpenAI’s guides on building effective AI agents. We are going to distill down everything we have learned to give you a guide to build functional AI agents in your LLM projects.

Web Data ScrapingOct 30

Crunchbase Scraper Guide (Python): Tutorial + Benchmark

Crunchbase is protected by Cloudflare’s enterprise-grade anti-bot system, which blocks most automated scrapers. Even advanced tools like Selenium often return 403 errors or endless “Just a moment…” pages.