JFrog ML vs TrueFoundry AI Gateway
JFrog ML
jfrog.comTrueFoundry AI Gateway
truefoundry.comSide by side
| Figure | JFrog ML | TrueFoundry AI Gateway |
|---|---|---|
| Price from | — | $25/mo |
| Free plan | — | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 9 |
| Spec score · Model Registry Software | 7.9 (#7) | 8.6 (#4) |
| Spec score · Model registries | 7.8 (#16) | 9.1 (#5) |
| Company | JFrog says its Liquid Software journey began in 2008; an official JFrog-hosted company profile lists its founding year as 2008 and headquarters in Netanya, Israel, and Sunnyvale, California. | TrueFoundry lists its address as Ensemble Labs Inc, 355 Bryant Street, Suite 403, San Francisco, California 94107. |
| Deployment | Models can be served as API endpoints, used for batch inference, and A/B tested. | The gateway supports SaaS and, for Enterprise, VPC, on-premises and air-gapped deployment options. |
| Deployment options | JFrog ML Cloud offers cloud deployment, while its hybrid architecture allows data and models to remain in a customer's cloud environment. | The product is offered as SaaS and can also run in a customer VPC, on premises or in an air-gapped environment. |
| Founded | 2008 | TrueFoundry states it was founded in 2021 by Nikunj Bajaj, Abhishek Choudhary and Anuraag Gutgutia. |
| Headquarters | Sunnyvale, California, and Netanya, Israel | San Francisco, California, United States |
| Observability | Its production observability features include performance metrics, model feature management, and inference analysis and queries. | Monitoring covers requests, tokens, cost, latency percentiles, time to first token, inter-token latency and request-level traces. |
| Purpose | JFrog ML is a unified platform for building, deploying, and monitoring machine learning models in production. | TrueFoundry AI Gateway sits between applications and model providers to manage AI model access, routing, governance, observability, security and cost controls. |
| Usage limits | The pricing page lists Unified MLOps with a 200-developer base bundle and Ultimate MLOps with a 500-developer base bundle, with additional developers available at volume discounts. | Developer includes 10,000 AI Gateway requests per user per month, while Pro includes 20,000 per user per month and charges $20 per additional 100,000 requests. |
Plans
TrueFoundry AI Gateway
- DeveloperFree
- DeveloperFree
- Pro$25 a month
- Pro$499 a month
- Pro Plus$2,999 a month
- TrueFoundry Pro (AWS Marketplace)$6,250 a month
- TrueFoundry Enterprise (AWS Marketplace)$12,500 a month
- TrueFoundry On-Prem (AWS Marketplace)$16,666.66 a month
- EnterprisePriced on request
In their own words
TrueFoundry AI Gateway
TrueFoundry AI Gateway sits between applications and model providers to manage model access, routing, governance, observability, security, and cost controls. Its unified API supports chat, completion, embedding, and reranking models. TrueFoundry says the gateway connects to more than 1,000 LLMs across more than 35 platforms, including OpenAI, AWS Bedrock, Google Vertex AI, Azure OpenAI, and Anthropic. Routing options include latency-based selection, weighted load balancing, and automatic fallbacks. The service tracks token usage, latency, errors, and request volumes, and supports centrally stored request and response logs. Teams can set rate limits and cost or token quotas, with role-based access controls. MCP connections include tools such as Slack, GitHub, Confluence, and Datadog, with policies for tool calls. Deployment includes SaaS, with VPC, on-premises, and air-gapped options for Enterprise. Developer is free; Pro costs $25 a month, billed per user. Developer includes 10,000 requests per user monthly, while Pro includes 20,000 and charges $20 per additional 100,000 requests.