Autonomy Launches Platform for Agentic AI Products
Autonomy has announced the general availability of its platform designed to overcome challenges in deploying agentic AI products, as stated in a press release. The platform aims to address issues such as messy integrations, governance gaps, and expensive infrastructure that developers face when moving autonomous agents from prototype to production.
The platform provides a full framework for building agents, allowing developers to write agents in Python and deploy them directly to the Autonomy Computer. This setup offers secure connectivity, elastic scaling, and built-in governance, enabling teams to scale from a single proof-of-concept to enterprise-ready products without re-architecting.
Key features of the platform include secure connectivity with identity-driven cryptography, an elastic actor runtime for launching millions of agents, and comprehensive observability tools. These capabilities ensure that agents can be deployed at scale with security and reliability, transforming them into viable customer-facing services.
Organizations can sign up to deploy a single agent or launch full agentic products, positioning Autonomy as a comprehensive PaaS solution for enterprises looking to adopt agentic AI with trust and scale.
We hope you enjoyed this article.
Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from: Enterprise
Subscribe to Enterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Market report
Superagency in the Workplace: Empowering People to Unlock AI’s Full Potential
This report explores the transformative potential of artificial intelligence in the workplace, emphasizing the readiness of employees versus the slower adaptation of leadership. It highlights the significant productivity growth potential AI offers, akin to historical technological shifts, and discusses the barriers to achieving AI maturity within organizations. The report also examines the role of leadership in steering companies towards effective AI integration and the need for strategic investments to harness AI's full capabilities.
Read more