Mission Control AI deploys synthetic workers that execute complex projects, run standard operating procedures, and preserve institutional knowledge within existing enterprise systems. These agents accomplish months of work in hours by integrating directly with legacy infrastructure and adhering to defined role responsibilities. The platform provides scalable automation across sectors like energy, supply chain, and defense by operating within established security and access controls.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises face challenges in effectively integrating and managing AI workers alongside human teams, particularly in orchestrating workflows, ensuring security, and developing necessary AI skills within their workforce. Existing solutions often lack the necessary tools for secure deployment and governance of autonomous AI agents in complex cloud environments.
Solution
Mission Control provides an on-premises platform designed to facilitate human-AI collaboration through guided work templates, interactive coaching, and real-time Large Language Model (LLM) operational security. The platform enables enterprises to deploy "Synths," which are autonomous AI colleagues capable of performing valuable business tasks using existing software and infrastructure. Mission Control's platform allows for the management and governance of these AI workers, ensuring that tasks, decisions, and processes are auditable and that real-time guardrails can be enforced. By deploying into existing cloud environments like AWS, Azure, and OCI, Mission Control helps organizations accelerate human-AI teaming, develop GenAI skills, and securely deploy trustworthy autonomous AI workers.
Target Audience
The primary target audience includes large enterprises and the US National Security community seeking to integrate and manage AI workers effectively and securely within their existing infrastructure.
Features
- Guided work templates for orchestrating human-AI workflows
- Interactive coaching modules for enhancing GenAI skills development
- Real-time LLM operational security to ensure secure AI deployments
- "Launchpad" dashboard for managing and governing the Synthetic workforce
- Compatibility with Frontier LLM providers and private models (BYOL)
- Support for existing enterprise software, eliminating the need for new CRM or ERP systems
- Auditable task tracking and decision logging for governance and compliance
- Real-time guardrails to control AI worker behavior and ensure alignment with organizational policies
- On-premises deployment within existing cloud environments (AWS, Azure, OCI)