TrueFoundry took over Seldon's ongoing business, existing enterprise customer relationships, and its full suite of technology . That includes:
The open-source Seldon Core project remains available, and TrueFoundry has pledged continued community support .
TrueFoundry's core message is a unified control plane that bridges what were previously two separate infrastructure worlds.
| Workload type | Before the deal | After the deal |
|---|---|---|
| Traditional ML (real-time inference, scikit-learn, TensorFlow, PyTorch) | Seldon was one of the most mature Kubernetes-native ML serving platforms. TrueFoundry had its own ML deployment capabilities but was primarily known for GenAI. | Seldon's real-time ML serving is combined with TrueFoundry's AI Deploy, giving enterprises a single platform for classic predictive models alongside new AI workloads . |
| Agentic AI / GenAI (LLMs, autonomous agents, multi-model pipelines) | TrueFoundry already had an AI Gateway and agentic deployment platform processing |
TrueFoundry took over Seldon's ongoing business, existing enterprise customer relationships, and its full suite of technology . That includes:
The open-source Seldon Core project remains available, and TrueFoundry has pledged continued community support .
TrueFoundry's core message is a unified control plane that bridges what were previously two separate infrastructure worlds.
| Workload type | Before the deal | After the deal |
|---|---|---|
| Traditional ML (real-time inference, scikit-learn, TensorFlow, PyTorch) | Seldon was one of the most mature Kubernetes-native ML serving platforms. TrueFoundry had its own ML deployment capabilities but was primarily known for GenAI. | Seldon's real-time ML serving is combined with TrueFoundry's AI Deploy, giving enterprises a single platform for classic predictive models alongside new AI workloads . |
| Agentic AI / GenAI (LLMs, autonomous agents, multi-model pipelines) | TrueFoundry already had an AI Gateway and agentic deployment platform processing |