Evaluate AI Progress with Know Your Agent
Deepchecks LLM Evaluation is an enterprise-grade AI testing, observability and monitoring platform that provides visibility, control, and trust across AI systems in production.
Deepchecks LLM Evaluation Platform
The term “LLM Evaluation” is often associated with isolated techniques or open-source tools, typically centered on LLM-as-a-judge approaches. These methods may support early experimentation, but they do not meet the requirements of production AI, where accuracy, consistency, governance, and ownership are critical. AI teams are left stitching together fragile infrastructure that is hard to trust and even harder to operate at scale.
At Deepchecks, LLM Evaluation is a production-grade platform that unifies evaluation, observability, testing, and monitoring, giving teams the visibility and control needed to trust AI systems in production.
Why Choose Deepchecks
Generative AI introduces a new class of quality problems that cannot be solved with simple rules or unit tests. Assessing whether an output is acceptable often requires expert judgment, deep context, and repeated review. This makes quality assurance slow, inconsistent, and fragile, especially as models, prompts, and workflows evolve.
Deepchecks is built to meet these requirements.
Compare versions of prompts, models, agents, & AI systems
Set up an auto-scoring pipeline, addressing nuanced constraints
Generate datasets and create LLM judges within minutes
Leverage auto-scoring for annotations and data slicing & dicing
Test LLM apps within the CI/CD and monitor them in production







