UberGPT is the enterprise AI operating system with persistent memory that connects tools, understands context and roles, suggests relevant tasks, orchestrates workflows, accelerates decisions, and empowers every manager and employee to achieve higher productivity and performance.

Unlike automation systems that execute predefined actions, UberGPT understands context, intent, and interdependencies across the entire organization. It reasons across tools and data sources, aligns tasks with business goals, and continuously adapts through its persistent memory — turning fragmented workflows into an orchestrated, intelligent operating layer.

UberGPT never uses client data for model training. In the standard SaaS model, all data is processed in secure, GDPR-compliant cloud environments with encryption and strict access control. For clients requiring full data residency, private-cloud or on-premise deployments are available.

When we say that UberGPT is efficiency-engineered, we refer to its Persistent Operational Intelligence, which removes the redundant reasoning steps that inflate the compute costs of standard AI agents. This alone enables GPT-5-level performance with 85–90% lower token usage compared to classical AI agents.

On top of that, UberGPT applies dynamic model selection: tasks that do not require high-level reasoning are executed by far more cost-efficient models with equivalent performance in those domains — reducing GPT-5-level token costs by an additional ~80%.

The result: GPT-5-level performance at an enterprise-optimized fraction of the compute cost.

Token consumption scales with workflow complexity and connected data volume. Organizations can set budgets or caps per workspace to maintain predictable operating costs.

Yes. UberGPT supports full enterprise integration — including on-premise, hybrid, and cloud environments. For fully isolated environments, UberGPT can operate through custom connectors, self-hosted orchestrators, or private LLM endpoints, ensuring that data never leaves your infrastructure.

It can also connect to CRMs, ERPs, ticketing systems, identity providers, and internal databases through secure private endpoints, reverse proxies, or firewall-restricted API gateways.

UberGPT adapts to each organization’s way of working. Decision logic, priorities, and interaction flows can be tailored to teams, roles, and business objectives — without modifying the underlying code or infrastructure.

Yes, UberGPT can unify and orchestrate all of them. Its cognitive orchestration system autonomously triggers rule-based automation, RPA, and external AI agents — enabling them to collaborate intelligently and continuously optimize enterprise workflows.