Composable centrally manages LLMs and inference providers without being tied to a single vendor or technology
We abstract the complexity of format variability so your team can easily switch between LLMs without worrying about the underlying format variation between GPT4.5 on OpenAI and Claude 3 on Bedrock, for instance.
This flexibility ensures enterprises can adapt to technological advancements and market demands without disruptions, costs associated with switching platforms, settling for workarounds, or kludgy development processes (i.e., cutting and pasting code, as many must do today).
The platform was designed to enable enterprise standards that modern digital workers demand across application scalability, security, and performance.
For instance, a Synthetic or Virtualized LLM environment allows teams to distribute load across multiple LLMs to support benchmarking, migration, and cost distribution strategies. In case of a task failure on one LLM, the Synthetic LLM automatically redirects to the next weighted LLM in the configuration group. This ensures consistent and reliable task execution.
