Rethinking search

Traditional search matches queries to documents. Search2o was built on a simple idea: search should match a query to a program built to handle it, run that program and return its output.

In Search2o, those programs are AI agents — programs that combine deterministic workflows with LLM-driven reasoning.

For this to work in an enterprise, such agents need to run safely, call enterprise systems, and pause for user approval before taking critical actions.

That implies more than search alone: a framework for defining agents, a runtime for executing them safely, a publishing model for making them available, conversations for follow-ups, administration, and an end-user interface.

A hybrid cloud architecture makes the system easier to deploy and maintain without depending on existing application infrastructure. Administrators only need to run stateless agent servers in their environment. Encryption protects sensitive information in the cloud, including queries, conversations, short- and long-term memories, and agent descriptions.

Developers create focused agents with clear responsibilities and publish them to a common system. Users can get started quickly because they already understand search.

Company

Search2o is based in Northern Virginia, USA.

Search2o was founded by Ram Venkat and is built on decades of experience designing and operating enterprise search and cloud systems. That experience includes systems built for large corporations and U.S. government environments, among them long-running, mission-critical production deployments. Search2o brings the same standards of reliability, security, and performance to enterprise AI systems.

Search2o Cloud runs on Google Cloud.

Search2o is currently in open beta.

Contact

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