Novagentica is an engineering platform that enables enterprise autonomy by defining what AI agents are authorized to achievecontrols consequential execution, and verifies business outcomes. The platform operates across multiple models, runtimes, workflows, and systems of record, built on its Outcome & Trust Engineering™ methodology to ensure reliable agent performance.
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Software Only
Funding
Founders
Product
Problem
Enterprises deploying AI agents often lack centralized controls to define agent authority, manage execution risks, and verify that business outcomes are actually achieved. This gap creates uncertainty around agent accountability, safety, and measurable results, limiting the scale of autonomous operations in production environments.
Solution
Novagentica provides an engineering platform that governs enterprise agent autonomy across models, runtimes, workflows, and systems of record. The platform enables organizations to define clear authorization boundaries for what agents are permitted to do, control consequential actions during execution, and verify that each business outcome is achieved as intended. Built on the Outcome & Trust Engineering™ method, Novagentica delivers a consistent governance layer that works across diverse AI stacks, making autonomous operations auditable and dependable for enterprise use.
Target Audience
Primary customers are enterprise engineering and operations teams deploying AI agents at scale who need centralized governance, execution control, and outcome verification across their automation initiatives.
Features
- Cross-model and cross-runtime agent governance supporting multiple AI models and execution environments
- Authorization framework that specifies agent permissions and operational boundaries before execution
- Consequential execution controls that monitor and manage high-impact agent actions in real time
- Outcome verification engine that checks completed agent work against defined business targets
- Integration layer compatible with existing enterprise workflows and systems of record