What problem does Humanloop solve for teams developing with LLMs?
Humanloop solves the problem that LLMs break traditional software development workflows. It provides an evaluation platform for teams to ship and scale AI with confidence by offering tools for prompt management, LLM evaluation, and observability, which are not suited for the iterative, data-driven development AI demands.
What are the primary use cases for the Humanloop platform?
Humanloop is used for the full lifecycle of AI product development, specifically for developing prompts and agents, evaluating them automatically or with human review, and observing issues in live systems. It allows teams to develop in code or UI, incorporate evaluations into CI/CD, and get alerted to problems.
Who is the intended user or team for Humanloop?
Humanloop is designed for enterprise teams and AI product organizations, including product, engineering, and domain experts who need to collaborate to drive AI development. It serves teams that are shipping AI features and need to align on evaluations.
What key features does Humanloop offer?
Humanloop offers a Prompt Editor for collaborative development, version control for prompts and datasets, support for every model from any provider, CI/CD integration for evaluations, automatic AI and code evaluations, human review via a UI, alerting and guardrails, online evaluations for live data, and tracing and logging for RAG systems.
What is Humanloop?
Humanloop is an enterprise-grade AI evaluation platform that provides best-in-class prompt management and LLM observability for teams to develop, evaluate, and observe AI products.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.