Onehouse AI Gateway: Model Routing & AI Governance

Agentic AI is increasingly enabling nontechnical users to query enterprise data through natural language, but its iterative model and tool calls can generate heavy, unpredictable workloads that require centralized governance, observability, permissions, and cost controls. Onehouse introduces its AI Gateway as a Kubernetes-native layer combining inference routing and MCP-based tool access, designed to let organizations use their own model-provider credentials, connect to open table formats and multiple catalogs, and deploy in cloud, on-premises, or neocloud environments. The company contrasts its approach with Snowflake Cortex and Databricks Unity Gateway, arguing that those platforms impose varying limitations involving provider choice, proprietary infrastructure, logging costs, serverless dependencies, or support for open formats. Onehouse says its gateway supports OpenAI and Anthropic currently, with AWS Bedrock and Baseten planned, and provides model aliases, failover routing, centralized access policies, credential brokering, traces, latency metrics, and estimated spending data. Future plans include semantic layers for unstructured information, infrastructure optimization based on agent behavior, SQL and tool-call optimization, and broader support for open models and neocloud inference services.

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