Most enterprise AI never makes it past the pilot. GenOS exists because production is the only milestone that matters.
GenOS is the enterprise AI operating system built to move AI from pilot to production. It provides three deployment surfaces on a single governed platform. Assistant gives employees a multi-LLM workspace to access company knowledge and enterprise tools, governed and auditable. Service handles customer conversations on any channel, grounded in your knowledge base, with structured escalation to human agents. Supervisor automates high-volume document processing and workflow pipelines with human-in-the-loop exception handling.
The platform delivers what enterprise AI governance requires to stay in production: SSO, granular RBAC at the agent level, full audit trails on every action, usage analytics, retrieval quality monitoring, knowledge audits, and automated evaluation pipelines. Multi-LLM routing across OpenAI, Anthropic, Google, and open-source models means the best model runs each task with no vendor lock-in.
Deployment options: cloud-hosted, BYOC (AWS, Azure, GCP), and on-premise. In BYOC and on-premise deployments, your data never leaves your perimeter.
Every deployment is led by a named Forward Deployed Engineer from DareData - the same engineers who built the platform. They scope, build, deploy, and stay engaged post-go-live for continuous improvement.
In production today:
- NOS: 65% of 20,000 supplier invoices/month handled end-to-end automatically; 50% of inbound customer interactions resolved without human intervention
- Sonae Sierra: +600 active users; 150,000 messages in 3 months
- Greenvolt: 300 contracts/month processed; ~95% extraction accuracy; 10 seconds per document