The Agentic Language Model that couples the intelligence of GenAI and actionability of rule-based AI
Apollo and Google Cloud offer Agents that Actually Work for Enterprise Customers.
Apollo is a breakthrough language model, built with a neuro-symbolic architecture that couples the conversational skills of generative AI with the predictability and actionability of rule-based AI. Companies of any kind can fine-tune Apollo to create agents with unprecedented levels of accuracy, safety and performance, continuously evolving through human feedback.
Companies can deploy Apollo Agents to work on their behalf for any objective-oriented conversational use-case, from selling products and services to interacting with their customers. On the AUI playground, Apollo Agents continuously improve from human feedback, which is integrated into their updated versions.
Developed over the past seven years in collaboration with 60,000 human agents, Apollo enables conversational agents with fine-grained control, the capacity to adhere to the deploying company’s policies and a white-box view of their operations.
With native tool use, defined scope and guardrails and superior steerability, Apollo Agents outclass LLM Agents and unlock a new phase in conversational AI.
Technological Features:
Contextual Precision:
Apollo Agents provide accurate, context-specific responses. For example, retailers can trust Apollo to answer complex customer queries like "Do you price match on this product?" with precise, policy-compliant and inventory-specific information.
Transparency and Trust:
Apollo operates with a white-box approach, providing a clear, traceable understanding of its decision-making processes. This is crucial for regulated industries where transparent communication and compliance are paramount.
Seamless Integration and better tool use:
Apollo does not require training on company data. Instead, it integrates with existing systems and workflows, calling relevant API endpoints seamlessly and cross checking with company policies to ensure reliable, secure and efficient operations.
Continuous Improvement:
Apollo enables fine-tuning for conversational agents, allowing companies to simulate and refine agent performance continuously. This ensures that AI agents remain aligned with business objectives and improve over time through human feedback.
Apollo opens up exciting new possibilities for Google Cloud customers. By integrating Apollo's advanced capabilities with Google Cloud's infrastructure, we unlock a wide variety of new auto-pilot use-cases, aimed to enhance customer engagement, operational efficiency, and business intelligence. For example, retailers can now deploy conversational AI to handle complex customer inquiries and create highly responsive and personalized customer service. Such agents are capable of handling a wide range of interactions, from product inquiries, through inventory search and product comparison, all the way to post-purchase support.
In the banking sector, as another example, Apollo can be deployed to manage customer inquiries, sell financial products, and provide personalized customer support. The model's fine-grained control and adherence to company policies ensure that sensitive data is handled securely and accurately, ensuring traceability, compliance and enhancing trust through transparent AI interactions.
Managed Services are fully hosted, managed, and supported by the service providers. Although you register with the service provider to use the service, Google handles all billing.
We’re currently using USD to calculate costs, which can be changed in the billing setup. Final prices in your bill will be set in accordance with your billing setup, and might be subject to exchange rates.
By using this product you agree to the Google Cloud Marketplace Terms of Service and the terms and conditions of the following software license(s): End User License Agreement
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