Frequently asked questions about Covia
$ covia faq --help
Covia FAQ — 28 answers across 7 categories
Frequently asked questions about Covia, the management layer for the synthetic workforce. Looking for definitions of specific terms? See the Glossary.
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# What Covia is, who it is for, and why the agent economy needs a coordination layer.
Covia Labs builds the management layer for the synthetic workforce. Our platform, the Universal Grid, is the runtime infrastructure that lets organisations deploy, govern, and scale AI agents in production: ordered execution across teams and tools, cryptographic access control, and a complete record of every action an agent takes.
Today's AI agents reason well but execute badly. They duplicate actions, skip approvals, drift out of sync, and leave no auditable trail. Every team building production agents writes their own brittle glue, and every integration breaks differently. Covia is the coordination layer that fixes execution. Ordering, authority, memory, and accountability hold across every system an agent touches.
Covia is built for three audiences. Enterprise teams deploying AI agents in regulated environments who need governance, audit trails, and compliance baked into the runtime, not bolted on after the fact. Scaleups running agents in production today who want to coordinate them across teams, tools, and cloud environments without rewriting from scratch. Developers building the next generation of agents who want primitives like durable state, governed execution, and federation that other frameworks lack.
The synthetic workforce is the set of AI agents your organisation deploys to do real work. Not just answering questions, but taking actions: opening tickets, processing transactions, deploying code, managing customer touchpoints. The 'workforce' framing matters because, like a human team, agents need identity, accountability, defined roles, and a system of record for what they do. Covia is the management layer that makes that workforce production-ready.
Every previous compute wave hit the same inflection point. Once individual units of compute started acting across shared systems, a coordination layer became necessary. Power grids, TCP/IP, HTTP, Kubernetes. Each arrived after the chaos, before the scale. AI agents are at that inflection point now. They have moved from suggesting answers to taking actions, but the execution substrate underneath them is missing. We exist because no one was building it.