# Orq.ai Plataforma colaborativa de IA generativa para criar, lançar e monitorar aplicações e agentes de IA. - Findings24: - Site: - Preços: Freemium - Categorias: Assistente de Código IA, Ferramentas Dev IA, Automação de fluxos de trabalho com IA ## O que é Orq.ai? 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. ## O que Orq.ai pode fazer? ### AI Gateway Route requests across many models and providers through a single API, with fallbacks, retries, routing rules, and cost visibility built in. ### Observability and tracing Capture prompts, tool calls, retrieval steps, latency, token spend, failure modes, and other trace data in real time for debugging and monitoring. ### Evaluation workflows Run offline and online evaluations, compare versions side by side, and use LLM-as-judge, code, and human review to measure output quality. ### Agent runtime and orchestration Build and orchestrate agents with memory, tools, multi-step reasoning, and runtime execution, including support for multi-agent systems and remote MCP servers. ### Shared library for assets Organize prompts, tools, skills, MCPs, and knowledge in reusable repositories with versioning and deployment support. ### Governance and security controls Apply governance controls such as role-based access control, SSO/SCIM, audit logs, PII filtering, and deployment options for enterprise environments. ## Casos de uso ### Build and deploy AI applications Teams building AI features can route requests through the AI Gateway, organize prompts and tools, and launch agents with memory and execution support. ### Monitor live AI systems Product and engineering teams can trace prompts, tool calls, retrieval steps, latency, and token spend to understand how production behavior changes over time. ### Evaluate changes before release Builders can run offline and online evaluations, compare versions, and use human or automated review to decide whether a change is ready to ship. ### Operate under enterprise governance Organizations with stronger control requirements can apply RBAC, SSO/SCIM, audit logs, data masking, retention rules, and enterprise deployment options. ### Support retrieval-augmented workflows Teams using RAG workflows can manage knowledge bases and memory stores, inspect document processing, and expose controlled context to deployments and agents. ## Perguntas frequentes ### Is there a free way to try Orq.ai? 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. ### What is the difference between a trace and a span? 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. ### Does Orq.ai support enterprise deployment options? 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. ### What does document processing priority mean? The pricing page says Enterprise customers get priority document processing, which means files are parsed and indexed faster when uploaded to a knowledge base. ### Can subscriptions be managed or cancelled? 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. ## Informações rápidas - **Category**: Generative AI collaboration platform - **Primary use**: Build, ship, monitor, and improve GenAI applications and agents - **Plans**: Free Developer plan, paid Developer plan, and Enterprise plan - **Deployment**: Cloud, hybrid, VPC, and on-premise options - **Domain**: orq.ai - **Notable workflows**: AI Gateway, observability, evaluation, governance, and shared libraries