Unknown assets
New agents, models, and tools appear faster than a spreadsheet or ticket queue can keep up.
AI Portfolio Management
A live, unified view of your AI agents, models, tools, and knowledge across your cloud. Automatically discovered, continuously updated, and ready to govern.
The AI portfolio gap
Your teams are shipping more AI than spreadsheets, ticketing systems, and disconnected catalogs can explain. Orbit automatically turns that moving target into one live, shared portfolio.
New agents, models, and tools appear faster than a spreadsheet or ticket queue can keep up.
Security, engineering, and compliance teams need the same asset context without chasing different systems.
When evidence is scattered across documents and chats, every review starts with a manual investigation.
Agents are in production.
organizations report regular AI use in at least one business function.
McKinsey, The state of AI in 2026 (n=1,719)of surveyed leaders name AI-related vulnerabilities the fastest-growing cyber risk.
World Economic Forum, Global Cybersecurity Outlook 2026companies have a mature governance model for autonomous AI agents.
Deloitte, State of AI in the Enterprise 2026 (n=3,235)Automatic discovery
Connect your cloud services and AI platforms to automatically build a live, unified portfolio of agents, models, tools, and knowledge.
Automatically discover what is running, understand your portfolio, assign ownership, and keep risk decisions and EU AI Act evidence attached to every asset.
Bring agents, models, tools, and knowledge into one continuously updated portfolio across your providers.
Automatically find AI assets in your cloud accounts before shadow deployments become security or compliance gaps.
See every AI asset by owner, type, risk tier, provider, lifecycle, and status in one live view.
Understand the risk, ownership, dependencies, and evidence behind every asset in your portfolio.
Turn portfolio insights into approvals, controls, and decisions that teams can act on.
Deploy in AWS, Azure, or Google Cloud. Your portfolio data stays in your environment.
Platform architecture
Orbit
Sync in both directions with your cloud and AI platforms, keeping the portfolio current without manual entry.
How it works
Orbit continuously turns scattered AI assets into an organized portfolio with a durable record, clear ownership, and evidence that stays useful after launch.
Link your cloud providers and AI platforms through Orbit's connectors, deployed inside your own environment.
Surface the agents, models, tools, and knowledge bases already operating, and keep the portfolio in sync as things change.
Capture ownership, purpose, provider, lifecycle, and risk tier in a consistent asset record.
Set approvals, documentation, and guardrails per asset, and keep decisions and evidence connected for audits.
Assurance, compliance, and trust
Keep a defensible record of every model and agent behind credit, fraud, and advisory decisions, ready for supervisors.
One portfolio, shared across teams
Security, platform, compliance, and AI teams can work from the same automatically updated portfolio instead of creating disconnected systems of record.
See what is running, who owns it, and where the highest-risk gaps need attention.
Give engineering one inventory for the agents, models, tools, and services they operate.
Map AI systems to risk classifications, evidence, and EU AI Act readiness work.
Ship with a clear path from experimentation to an owned, documented production asset.
Deploy Orbit in AWS, Azure, or Google Cloud. Your AI portfolio, governance decisions, and compliance evidence remain inside your environment.
Clear answers about AI inventory, deployment, and EU AI Act readiness.
Orbit is a self-hosted AI Portfolio Management system. It automatically brings AI agents, models, tools, and knowledge into one live, unified portfolio view.
Orbit tracks AI agents, models, tools, MCP servers, and knowledge bases, including ownership, provider, dependencies, risk tier, status, and supporting evidence.
Orbit helps teams manage an AI portfolio by classifying assets by risk tier, attaching DPIAs, FRIAs, and technical documentation, and maintaining an audit trail of governance decisions.
Orbit can run in your AWS, Azure, or Google Cloud environment. Your inventory data stays inside your environment.
Security, platform engineering, compliance, and AI teams use Orbit to share one live, unified view of AI agents, models, tools, knowledge, ownership, risk, and supporting evidence.
Orbit runs in your own cloud environment, so your AI inventory, governance decisions, and compliance evidence remain under your operational control.
Your AI portfolio, finally in one Orbit