Explore 4173+ AI Developers (page 18)
Adam Swanda
Adam Swanda is an individual security researcher and solo developer publishing research and open-source tools focused on AI safety and security, threat intelligence, detection engineering, malware analysis, and LLM security. His deadbits.org site presents research papers and projects, including tools for detecting and analyzing risks in generative-AI systems.
DataFog
DataFog builds open-source tools that keep sensitive data out of AI workflows. Its products detect PII and credentials locally, then redact, mask, remove, pseudonymize, tokenize, or otherwise enforce privacy policy before data reaches an agent, model, log, API, or another system.
evalplus
EvalPlus is an open-source research project and evaluation framework for LLM-generated code. It builds rigorous, high-quality evaluators and benchmarks for code correctness, code efficiency, and long-context code understanding.
claw-eval
Claw-Eval is an open-source benchmark and evaluation harness for trustworthy evaluation of autonomous LLM agents. It evaluates realistic personal-assistant workflows with tool use, sandbox files, multimodal inputs and simulated user interactions, using trajectory-aware grading of completion, safety and robustness.
SemiAnalysis
SemiAnalysis is an independent research and analysis firm covering the semiconductor and AI supply chain end to end, from capital equipment, fabs, foundries, memory and chip design through networking, datacenters, software, and AI training/inference. It bridges business decisions and technical industry realities through primary research, institutional models, open benchmarks, a newsletter, and consulting/advisory work.
Protect AI
Protect AI was a cybersecurity company focused on securing AI and machine-learning systems, models and applications. Its stated mission was to help customers build a safer AI-powered world by addressing AI/ML supply-chain and deployment risks.
Meridian Labs
Meridian Labs is a nonprofit building open-source tools and a shared platform for understanding, evaluating, testing, and researching frontier AI models and agents. Its goal is to advance AI safety, alignment, and security work by making rigorous evaluation infrastructure available to governments, nonprofits, academia, and model developers.
Alexander Myasoedov
Alexander Myasoedov is an individual software engineer, machine-learning enthusiast, open-source developer, founder, and technical writer—not an organization. His public work focuses on production software, LLM applications and security, AI evaluation, and developer tooling.
ModelScope Community
ModelScope Community is an Alibaba-initiated open-source AI model community and Model-as-a-Service innovation platform. It lowers the barrier to AI development by letting developers and researchers discover, experience, download, fine-tune, train, evaluate, infer, and deploy models, datasets, tools, and interactive applications.
Massive Text Embedding Benchm…
Massive Text Embedding Benchmark (MTEB) is an open-source, community-driven research project and Python framework for evaluating embedding and retrieval systems across languages, modalities, and task types. It provides reproducible evaluation code, datasets/task definitions, public results, and a leaderboard so researchers and practitioners can compare models for their use cases. Sources: https://docs.mteb.org/overview/ and https://github.com/embeddings-benchmark/mteb