Tool overview
Deepchecks is listed under AI Governance Safety & Evaluation AI tools.
What is Deepchecks?
Deepchecks is an enterprise platform for testing, evaluating, monitoring, and governing LLM applications and agents. It supports development and production workflows, automatic scoring, data generation, annotations, cost tracking, API and SDK integration, and SaaS or self-hosted deployment.
Best for
AI teams operating production LLM and agent systems with enterprise controls
Who is it for?
Decision note
Rebuilt from the original export under V412/V411 independent factual verification. Preview only; Apply requires Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0, reviewed explicit clears, image import disabled or V380 PASS, representative edit-screen comparison, and a zero-change post-Apply Preview.
Key features
Evaluation, observability, testing, and production monitoring
Custom evaluators and automated scoring pipelines
Session-level analysis, annotations, and cost tracking
SaaS, SageMaker, self-hosted, and air-gapped deployment
Use cases
Compare prompts, models, and agent versions
Monitor RAG and agent quality in production
Create and manage evaluation datasets
Govern enterprise AI with roles and auditability
Pros
- Free trial for LLM Evaluation
- Self-hosted and air-gapped enterprise options
- Open-source Deepchecks testing package available
Limitations
The managed platform and open-source testing package are related but not identical products with the same feature set.
Evaluation quality depends on representative data, appropriate metrics, judge configuration, and human review.
Pricing details
Billing options
Pricing note
Deepchecks offers a free trial for LLM Evaluation. Current paid plan amounts are not publicly itemized and require a sales discussion for SaaS, SageMaker, or self-hosted enterprise deployment.
Supported languages
- English
Integrations
OpenAI
Azure OpenAI
AWS Bedrock
LangChain
Datadog
Google Cloud
NVIDIA
Please log in to join the discussion.