AI Gateway
Route requests across many models and providers through a single API, with fallbacks, retries, routing rules, and cost visibility built in.
Plataforma colaborativa de IA generativa para criar, lançar e monitorar aplicações e agentes de IA.
Orq.ai is a generative AI collaboration platform for building, shipping, and scaling AI applications and agents in one place. The product combines model routing, observability, evaluation, governance, and shared asset management so teams can develop and operate GenAI systems from a single platform.
The home and pricing pages position Orq.ai around the AI application lifecycle: configure agents, trace their behavior, measure quality, and improve with production feedback. The platform supports deployment across cloud, hybrid, VPC, and on-premise environments for enterprise customers, while also offering a self-serve Developer plan for individual builders and smaller teams.
Route requests across many models and providers through a single API, with fallbacks, retries, routing rules, and cost visibility built in.
Capture prompts, tool calls, retrieval steps, latency, token spend, failure modes, and other trace data in real time for debugging and monitoring.
Run offline and online evaluations, compare versions side by side, and use LLM-as-judge, code, and human review to measure output quality.
Build and orchestrate agents with memory, tools, multi-step reasoning, and runtime execution, including support for multi-agent systems and remote MCP servers.
Organize prompts, tools, skills, MCPs, and knowledge in reusable repositories with versioning and deployment support.
Apply governance controls such as role-based access control, SSO/SCIM, audit logs, PII filtering, and deployment options for enterprise environments.
Teams building AI features can route requests through the AI Gateway, organize prompts and tools, and launch agents with memory and execution support.
Product and engineering teams can trace prompts, tool calls, retrieval steps, latency, and token spend to understand how production behavior changes over time.
Builders can run offline and online evaluations, compare versions, and use human or automated review to decide whether a change is ready to ship.
Organizations with stronger control requirements can apply RBAC, SSO/SCIM, audit logs, data masking, retention rules, and enterprise deployment options.
Teams using RAG workflows can manage knowledge bases and memory stores, inspect document processing, and expose controlled context to deployments and agents.
You can start with the free Developer plan, which is self-serve and does not require a credit card. The pricing page says it includes access to core platform features with some restrictions.
On the pricing page, a trace is described as a complete end-to-end interaction, while a span is a single step within that trace. Billing is based on spans.
Yes. The pricing and home pages both describe enterprise deployment options such as VPC, private cloud, cloud, hybrid, and on-premise setups, along with enterprise security and compliance support.
The pricing page says Enterprise customers get priority document processing, which means files are parsed and indexed faster when uploaded to a knowledge base.
The pricing page says paid Developer subscriptions can be managed or cancelled at any time, with changes taking effect at the end of the billing cycle. Enterprise plans use a contact-sales flow.
Os dados de tráfego são apenas para referência.
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