UniNet

Comparison

Where UniNet fits.

UniNet does not beat Akash at compute. It does not beat Nym at network anonymity. It does not beat Filecoin at storage. Those networks are mature in the layer they were built for, and if that layer is your whole problem, use them.

StatusParts of UniNet are unfinished. This page argues about architecture, not readiness — read the build status before you design around anything here.

The concession

Assembling this yourself is a reasonable plan.

Every technical evaluation of UniNet arrives at the same objection inside ten minutes. It is the right objection, and it deserves an answer rather than a feature table.

The parts exist. Akash for compute, Nym for privacy, a payments rail for settlement, an identity library above them. Most of those parts are further along than the corresponding part of UniNet, and the teams behind them have spent years on one layer each.

Akash has a mature decentralized compute marketplace. Nym has a purpose-built privacy network and is developing privacy infrastructure for AI agents. Filecoin has a large verifiable storage ecosystem. None of those sentences is a concession we make reluctantly — they are the reason this page exists at all.

If compute is your whole problem, use Akash. If network anonymity is your whole problem, use Nym. If verifiable storage is your whole problem, use Filecoin. The rest of this page is only worth your time if your problem crosses more than one of those layers.

The claim

The seam is the problem, not the layer.

An agent that does useful work has to hold an identity, carry authority that can be bounded and revoked, reach a service without exposing the topology behind it, pay for what it used, and leave a record. Today each of those is a separate integration across a separate trust boundary.

Assembled from parts
  • Identitya provider account, an API key
  • Authorityper-service policy, separate revocation
  • Reachabilitya published endpoint, the host exposed
  • Paymenta rail that expects a human account holder
  • Recordeach vendor logs its own half
One network
  • Identitya key the agent itself holds
  • Authoritydelegated, scoped, revoked with cascade
  • Reachabilityan address decoupled from the machine
  • Paymenta signed transfer from the agent wallet
  • Recordone state either party can check

Five integrations is not five times the work. It is five credential formats, five failure modes, five revocation stories, and one question nobody owns: when authority is withdrawn in the identity system, what happens to the payment rail that already holds a mandate? The correctness argument lives in the seams between the layers, and today those seams are your team’s code to write, test and carry.

UniNet’s argument is that those five things belong to the same substrate — that an identity, the authority derived from it, the route to the service, the transfer that pays for it and the record of what happened should be facts of one network rather than five bilateral agreements your application reconciles at runtime.

Integration is the claim. Superiority at any single layer is not, and we do not ask you to read it that way.

Network by network

What each network is for.

Each territory below is described in the terms that network's own documentation uses. The second column states what UniNet does differently — not what the other network does badly.

NetworkTheir territoryWhat UniNet does differently
AkashA mature decentralized compute marketplace: containerized workloads deployed onto capacity offered by independent providers.Compute is one primitive among several rather than the product. A workload is discovered, reserved, reached and paid for by an identity the network already holds, so the deployment and the settlement are not two systems joined by your code.
NymA purpose-built privacy network, now extending into privacy infrastructure for AI agents.UNP is addressing and routing inside the substrate the service already runs on, so a service is reachable at an address decoupled from its machine. It is a routing architecture for infrastructure privacy, not a general-purpose anonymity network, and it is not a substitute for one.
FilecoinA large verifiable storage ecosystem, positioned around verifiable storage, AI agents and payments.Storage sits on the same network as the identity that owns the data and the authority that governs access to it, rather than behind a separate credential. UniNet storage endpoints are still being connected, so this is the layer where the gap between the two is widest today.
Internet ComputerA decentralized cloud: application code runs on the network itself rather than on a provider’s servers.The nearest architectural neighbour on this list. UniNet’s distinguishing choice is a private networking layer underneath execution, and identity, delegated authority and settlement as network primitives rather than as application state. Compare the two on where each of those lives in the stack.
CloudflareLaunched agent-oriented identity and wallet infrastructure in 2026, and describes an agentic Internet in which identity, discoverability, communication and payment are infrastructure problems.Agreement on the problem; a different ownership model. Cloudflare operates the infrastructure it provides. UniNet’s equivalent primitives are network-level and hosted by operators that do not share an owner. Neither answer is automatically correct — it depends on whether a single operator in the trust path is acceptable to you.

Compared against published documentation as of August 2026. These networks move quickly. If a description here has gone stale, treat it as stale rather than disputed, and tell us so we can correct it.

Disqualification

When not to use UniNet.

Written so that you can act on it and leave. Four cases where the answer is a different system, or waiting.

Conventional applications

If you are hosting a conventional SaaS application for human users, use a conventional cloud. The problems this network is built around — software that holds its own identity, authority bounded without a human in the loop, settlement between two machines — are not problems a CRM has. The established clouds do that job well and we are not asking you to move it.

Single-layer problems

If your problem lives entirely inside one layer, the specialist network in that layer is ahead of us. Compute alone: Akash. Network anonymity alone: Nym. Verifiable storage alone: Filecoin. Choosing an integrated substrate to solve a single-layer problem costs you maturity and buys you nothing.

Hardware-backed custody

If your deployment requires HSM-backed key management or hardware-backed confidential computing, UniNet cannot serve you today. Neither is implemented. That rules out most regulated and public-sector procurement, and the block below states exactly what it means for your threat model.

Production dependencies

If you need a production validator set, completed governance flows or completed bridge verification before you can ship, wait. All three are in development. Designing around them now means designing against an interface that is still moving.

What is not finished

Hardware security modules are not implemented, so key custody is software custody.

Hardware-backed confidential computing is not implemented. If your threat model includes the operator running your workload, UniNet does not solve that today.

Validator production deployment is not complete.

Significant parts of the external autonomous-organization interface remain placeholder or mocked. Do not migrate a live treasury or a live vote onto this.

Parts of bridge verification are incomplete. Do not design a production cross-chain settlement path around it yet.

The properties described here have not been independently audited. Treat them as design intent you should read and test, not as a compliance control you can cite.

See the full build status

Integration is the claim. A claim about integration is only worth something if the primitives underneath it are real, so read what is built and what is not before you decide.