Robust Intelligence vs Weights & Biases Weave

Robust Intelligence was a San Francisco-based AI security company co-founded in 2019 by Harvard computer science professor Yaron Singer and Kojin Oshiba. The company pioneered the concept of an 'AI Firewall' — a purpose-built platform that validates, stress-tests, and protects AI models from development through production. Key capabilities included algorithmic red teaming, automated model assessment, and proactive AI risk mitigation aligned to OWASP and MITRE ATLAS standards. Robust Intelligence was acquired by Cisco in October 2024 for a reported $400M and has been foundational to the development of Cisco AI Defense and Cisco Foundation AI. Its technology is now integrated into the Cisco Security Cloud, providing threat protection against prompt injection, data poisoning, jailbreaking, and unintentional model outcomes. The company raised $44M prior to acquisition across three rounds.

Weights & Biases (W&B) is a San Francisco-based MLOps and LLMOps platform founded in 2017. Weave is W&B's product layer purpose-built for LLM observability, evaluation, and governance. It provides automatic tracing of LLM calls (inputs, outputs, latency, cost), evaluation pipelines with human and automated scoring, dataset versioning, and guardrails to block prompt attacks and harmful outputs. Weave integrates with major LLM providers including OpenAI, Anthropic, Google Gemini, and frameworks such as LangChain and LlamaIndex. For AI compliance, W&B runs EU AI Act-focused webinar series demonstrating how Weave can generate compliance dossiers for high-risk AI systems, providing audit trails and evidence generation. The platform holds SOC 2 Type II certification. Enterprise tier includes SSO, RBAC, and private cloud deployment. W&B has raised $305M total and was valued at $1.25B in 2023.