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TrueFoundry vs Helicone

TrueFoundryHelicone

Bottom line: TrueFoundry for enterprise ML platform teams; Helicone for teams wanting simple, cheap LLM logging.

Kubernetes-native MLOps and LLMOps platform with an AI gateway

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Open-source LLM observability and AI gateway in one line of code.

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Votes00
PricingContactFreemium
CategoryMlopsLlm Observability
Tags
mlopsllmopskubernetesai-gatewaymodel-deployment
llm-observabilityai-gatewayopen-sourcemonitoringcaching
Best for
  • Enterprise ML platform teams
  • Companies needing in-cloud control
  • LLM serving at scale
  • Teams wanting simple, cheap LLM logging
  • Developers self-hosting an open-source gateway
  • Cost and usage monitoring across providers
Pros
  • Runs in your own cloud or on-prem
  • Kubernetes-native and scalable
  • AI Gateway control plane
  • Unified support for ML, LLMs and agents
  • Strengthened by Seldon acquisition
  • Extremely easy integration via a one-line base-URL swap
  • Open source under Apache 2.0 and free to self-host
  • Tiny Docker image that runs almost anywhere
  • Gateway features like caching, failover, and rate limiting cut cost and improve reliability
  • Generous free tier of 10,000 requests per month
Cons
  • Enterprise-focused, no free self-serve tier
  • Requires Kubernetes familiarity
  • Pricing via sales only
  • Overkill for very small teams
  • Onboarding complexity for platform setup
  • Product is in maintenance mode after the Mintlify acquisition, with no roadmap
  • Long-term hosted-service viability is uncertain and migration may be needed
  • Usage-based overages mean the Pro price is a floor, not a cap
  • Short retention on lower tiers (7 days free, 30 days Pro)
  • Large price jump from Pro to Team for compliance features

Comparison generated from each tool's listing. Add or remove tools above to change it.