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About Deepchecks
What does Deepchecks do?
Deepchecks is an enterprise-grade platform for testing, evaluating, observing, and monitoring AI systems and LLM applications in production. It unifies evaluation, observability, and monitoring into one platform, giving AI teams visibility and control over their AI systems.
What problem does it solve?
Generative AI and LLMs introduce quality problems that simple rules or unit tests can't solve. Assessing output quality requires expert judgment and context. Deepchecks helps teams compare prompt, model, and agent versions, set up auto-scoring pipelines, generate datasets, create LLM judges, and test apps within CI/CD while monitoring them in production.
Who is it for?
Deepchecks is built for AI/ML teams, data scientists, and engineering teams at enterprises running production LLM applications and agentic AI systems—especially those in regulated industries needing compliance (SOC2 Type 2, GDPR, HIPAA) and security controls. It's not for individuals or teams only doing early experimentation with simple evaluation techniques.
Real use cases
Teams use Deepchecks to evaluate AI agents, compare prompt and model versions before deployment, reduce hallucinations and low-quality responses, and monitor LLM apps in production. The platform supports SaaS, Virtual Private Cloud (GCP/Azure), and on-prem deployment options.
Key features
- Version Comparison — Compare versions of prompts, models, agents, and AI systems side-by-side to choose the winner.
- Auto-Scoring Pipelines — Set up pipelines that address nuanced constraints and constraints in LLM evaluation.
- Dataset Generation & LLM Judges — Create datasets and LLM judges within minutes.
- CI/CD Testing & Production Monitoring — Test LLM apps in the CI/CD pipeline and monitor them in production.
- Data Slicing & Dicing — Leverage auto-scoring for annotations and data slicing and dicing.
- Enterprise Security & Compliance — SOC2 Type 2, GDPR, HIPAA, SSO, AWS GovCloud supported, with multiple deployment options.
SaaSpartout Score
7.3
/10
Editorial score from our review methodology — not user ratings.
Deepchecks Pricing
Deepchecks pricing: Free trial (Basic plan). Billing model: Free.
Basic
Free trial. For small teams and startups. Includes up to 3 seats, 1 AI application, up to 5K DPUs/month, 3 months data retention, unlimited prompt-based metrics, multi-lingual AI applications, and Know Your Agent (KYA).
Scale
Request demo. For teams with several production-grade AI applications. Includes all Basic features plus 5 seats, 3 AI applications, 20K DPUs/month, premium support, premium compliance, and guided platform onboarding.
Enterprise
Contact us. For companies with high data volumes and advanced security needs. Includes all Scale features plus custom seats and AI applications, custom DPUs/month, enterprise-grade security, enterprise support package, and dedicated customer success team.
Deepchecks on Sagemaker AI
Learn more. AWS-managed version of Deepchecks. Includes all Basic features plus on-prem 100% data locality, available on AWS Marketplace, native integration with Amazon Bedrock, and best-in-breed LLMOps stack.
Deepchecks Dedicated
Learn more. Maximum control and privacy. Includes all Scale features plus single tenant option with choice of region, cloud on-prem options, bare-metal options, custom SLA, and custom features.
Frequently asked questions
Is Deepchecks free?
Deepchecks offers a free trial of its Basic plan. The Basic plan includes up to 3 seats, 1 AI application, and up to 5K DPUs per month.
How much does Deepchecks cost?
Deepchecks Basic plan is available as a free trial. The Scale plan requires a demo for pricing, and Enterprise and Dedicated plans are custom-quoted with contact sales.
Who is Deepchecks best for?
Deepchecks is best for enterprises and AI teams running production LLM applications and agentic AI systems, especially those in regulated industries needing compliance with SOC2 Type 2, GDPR, or HIPAA.
What are top alternatives to Deepchecks?
Common alternatives include other LLM evaluation and observability platforms like LangSmith, W&B Weave, and Phoenix by Arize AI. Deepchecks differentiates itself with enterprise-grade security, compliance, and multiple deployment options.
What is Deepchecks used for?
Deepchecks is used for LLM evaluation, AI testing, observability, and production monitoring. It helps teams compare versions of prompts/models/agents, set up auto-scoring pipelines, and test LLM apps in CI/CD.
Does Deepchecks support on-premise deployment?
Yes. Deepchecks offers Virtual Private Cloud deployment on GCP or Azure, and the Deepchecks Dedicated plan includes on-prem and bare-metal options with 100% data locality.
