Designed for scale. Engineered for security. Built for intelligent automation.
OpenTextTM Aviator Studio is a no-code and pro-code platform to build, govern, and connect enterprise AI agents. Featuring multi-agent choreography, a prompt library, a model broker, and guardrail settings to prevent prompt injection, Aviator Studio empowers organizations to realize ROI from AI faster.
Aviator Studio is how your teams build, deploy, and iterate on agents across OpenText products and your enterprise. It’s the AI control plane for building trusted agents.
Orchestrate decisions, don’t just predict probabilities.
Rapidly design, test, and refine agents using no-code or pro-code interfaces. Develop multi-step workflows, chain reasoning, and deploy to any environment.
Deploy agents with full auditability, guardrails and policy enforcement. Aviator Studio enforces enterprise-grade governance, permissions, and data isolation to maintain compliance and explainability.
Chain tools and APIs with agent-like workflows. Integrate agents, tools, and systems using open protocols such as MCP and A2A.
Expand intelligence across OpenText products and external ecosystems. Build once, reuse everywhere, creating a unified, extensible agentic AI fabric.
Featuring multi-agent choreography, a prompt library, a model broker, and guardrail settings to prevent prompt injection, Aviator Studio empowers organizations to realize ROI from AI faster.
Unified framework for building, testing, and deploying agents across OpenText products with predictable, compliant behavior.
Secure runtime with identity management, guardrail settings, policy enforcement, and full audit logging.
Micro-capabilities let you assemble, extend, and reuse workflow logic with standardized interfaces.
Supports high-throughput workloads and multi-model orchestration across SaaS, on-prem, and off-cloud environments.
Connect via APIs and open protocols for partner, customer, and system integration. Utilize the model broker or bring your model of choice.
No-code for simplicity, pro-code for developer control, empowering all teams to operationalize AI.
Leverage multiple LLMs to align model choice with task, performance, and cost objectives.
Aviator Studio turns AI trust into action with guardrail settings, full auditability, and policy enforcement, foundations uniquely enabled by OpenText Cloud.
Run agents in secure, isolated environments to safeguard data, ensure sovereignty, and mask sensitive information. Access to prompt library and preconfigured agents.
Coordinate multiple agents and systems to automate complex workflows across your enterprise environment. Guardrail settings and policy management.
Integrate domain knowledge and relationships into every interaction to enable contextual reasoning, discovery, and automation at scale with specialized LLMs.
From a single digital knowledge worker to a connected network of AI agents.
Eliminate repetitive tasks with AI agents that act autonomously across systems for faster, smarter execution.
Automate sensitive processes with secure, governed AI built for compliance and data sovereignty.
Extend AI across every workflow by connecting people, partners, and processes to create a unified digital workforce.