
Requests
Volume, latency, cost, modality
Build, run, and operate visual AI across images, documents, and video with production-grade accuracy, observability, and control.


Define schemas, run visual agents, inspect traces, and iterate quickly without stitching together OCR engines, vision models, and glue code.

Automatically orchestrates models, tools, retries, and schema enforcement, optimized for accuracy and throughput.
Trace every request end-to-end, from inputs and crops to tool calls, outputs, and evaluations. Debug agent behavior, monitor performance, and enforce governance with confidence.


Volume, latency, cost, modality

Step-by-step reasoning and tool calls

Schema adherence, confidence, failures

Inputs to crops to tools to outputs
Use Cases
Models
Swap models without rewriting pipelines. Combine multiple models inside a single agent workflow.

Architecture
One architecture for experimentation and production with no rewrites.
API layer with OpenAI-compatible interface and visual extensions
Agent orchestration for tools, retries, and reasoning loops
Model layer for frontier and open-source VLMs
Runtime optimized for visual inference
Observability and control plane for traces, metrics, and governance

Deployment
Cloud deployment with managed infrastructure and fast start. In-VPC deployment with private networking and data isolation.

