Summary
Comet ML provides an end-to-end MLOps platform for AI developers, focusing on model evaluation, experiment tracking, and production monitoring. Its Opik product specifically targets LLM evaluation, offering tools for tracing, testing, and optimizing large language models, including features for prompt engineering, guardrails, and production monitoring. The platform supports various ML frameworks and offers solutions for individual users, teams, and enterprises.
Features9/13
See allMust Have
5 of 5
Conversational AI
API Access
Safety & Alignment Framework
Fine-Tuning & Custom Models
Enterprise Solutions
Other
4 of 8
Code Generation
Multimodal AI
Research & Publications
Security & Red Teaming
Image Generation
Synthetic Media Provenance
Threat Intelligence Reporting
Global Affairs & Policy
PricingTiered
See allFree
- Unlimited team members
- LLM tracing
- Datasets and experiments
- LLM-as-a-judge metrics
- 25k spans per month
- 60-day data retention
Pro
- Everything in the Free plan
- Pay-as-you-go pricing for additional monthly spans
- Longer data retention
- 100k spans per month
- 60-day data retention
Enterprise
- Everything in the Pro plan
- Flexible deployments
- Service accounts and view-only users
- Single sign on
- Dedicated support and SLAs
- SOC 2, ISO 27001, ISO 9001, HIPAA, and GDPR compliance
- Unlimited spans
- Custom span data retention
Rationale
Comet ML, particularly through its Opik product, directly addresses several 'must-have' features. It offers LLM evaluation and tracing, which aligns with conversational AI and API access for integrating these capabilities. The platform also emphasizes 'GenAI Guardrails' and 'Maximize Trust & Safety With Guardrails', indicating a focus on safety and alignment. While not explicitly 'fine-tuning', the 'Automate prompt engineering and turn LLM tuning into a repeatable, scalable process' suggests a form of model adaptation. Enterprise solutions are clearly offered with dedicated plans and features like SSO, flexible deployments, and compliance. Additionally, the platform supports code generation through its integrations with various ML frameworks and provides tools for research and publications through its documentation and blog. Security and red teaming are implied through its guardrail features and enterprise-grade security offerings.