Laryaa is being built to bring private intelligence to the files, applications and devices people already use. Works is the user experience; Wave protects and prepares context; aOS coordinates local execution. Individuals, teams, institutions and product companies use different paths through the same foundation. Explore the product or find your path.

Can private AI still use frontier intelligence?

That is Laryaa’s goal. Wave is designed to keep sensitive source context on-device, prepare protected requests for approved intelligence and reconnect responses locally. Privacy and output quality must be tested together for the intended task; the site does not claim universal proven frontier parity or zero residual disclosure. Review the evidence and limits.

Do I need a new computer?

Laryaa is designed to start with existing devices, with guidance of 4 GB RAM and above. This is not a guarantee for every device or model: capability depends on the operating system, application, permissions and workload. Check device and workflow status.

How does Laryaa approach cost and reliability?

aOS is designed to use reasoning where it changes the outcome and carry routine execution locally. Works is designed to check changes against sources and return exceptions for human judgement. Cost savings, accuracy and recovery need workflow-specific evaluation—not a universal percentage promise. Read about the intelligence model and completed work.

What can I use today?

Laryaa is pre-alpha. Personal plans are coming soon; business and enterprise plans use a sales-led evaluation path. The capability register separates prototype-tested hospital workflows from browser, file and spreadsheet work in validation, planned integrations and custom deployments. Review current capabilities and plan availability.