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Vishwa Review 2026: Policy Controls for AI Agent Finance

Vishwa is infrastructure that checks AI agents' payments and compute purchases against a user-defined policy before they run. It is aimed at institutions, not retail users, and DefiLlama tracks it under Anchor BTC on Bitcoin and Sui.

By the DappsAtlas editorial team · Updated

DappsAtlas score

7.0/10

Good

Our verdict on Vishwa

7.0/10

Vishwa suits teams and institutions building AI agents that must spend money or buy GPU compute under strict rules. Its main strength is blocking requests that break the mandate before execution, with no custody of funds or keys. The main caveat is limited public detail: fees, auditor names and the link between its BTC-related TVL and the product are not clear, and onboarding runs through a demo. Individual users looking for a simple yield app should look elsewhere.

Score breakdown

How Vishwa scores

Security
7.0/10
Ease of use
6.0/10
Fees
n/a
Features
7.5/10

Scores run from 0 to 10 and are based only on facts we could verify. Where information was missing we mark the score n/a rather than guess.

What is Vishwa?

Vishwa is infrastructure software for autonomous AI agents that move money or buy computing power. Its core idea is a pre-execution control layer: before an agent acts, Vishwa checks the request against a mandate set by the organisation that deploys it.

DefiLlama lists Vishwa in the Anchor BTC category on Bitcoin and Sui, with about $53.7 million in TVL, a 7-day change of -0.6%, and a listing date of 22 September 2025. It has no token and two audits are listed.

The homepage shows two product lines: banking infrastructure for treasury, payments, credit and vaults, and OpenNEXT, a compute market where agents compare GPUs. It cites Ondo as a trusted name and mentions the Anthropic Cyber Verification Program, Plug and Play Fall 2026 cohort and the Circle Alliance Program.

Vishwa Ltd. states it is not a bank, broker-dealer, investment adviser, exchange, custodian or money transmitter. That makes it a tooling provider rather than a place to deposit funds for yield.

How Vishwa works

An institution or developer sets a mandate: who an agent is, what it may spend, which venues and counterparties it may use. When an AI agent submits an intent, Vishwa runs it through a path of private state, policy, orchestration and proof before anything is executed.

The Gate checks identity, authority, provenance, consistency, solvency and compliance against the mandate. If the request is within limits it is authorised. If it exceeds a limit, it is blocked before execution.

Vishwa says it does not take custody of funds or private keys. It aims to keep sensitive context private through data minimisation and confidential compute, and to give verifiable records of what was decided.

6 features

Key features

01

Pre-execution policy checks

A Gate checks identity, authority, provenance, consistency, solvency, compliance and execution constraints against the declared mandate before capital moves.

02

Spend limits and blocking

Requests that exceed limits, such as a spend cap, are stopped before execution rather than reversed afterwards.

03

Capital workflows

Treasury, payments, credit and vault use cases are listed under the banking infrastructure product.

04

Agent-native compute market

OpenNEXT lets agents compare GPUs and procure compute within budget, region and SLA constraints, with published example rates.

05

Privacy and verifiable handoff

The site describes data minimisation, confidential compute and proofs that avoid exposing private state.

06

CLI integration

A command-line tool lets teams connect existing agents and systems to the governed execution path.

Pros and cons

What we like

  • Clear non-custodial claim: no custody of customer funds or private keys.
  • Pre-execution blocking of requests that break policy limits.
  • Covers both capital and compute workflows in one governed runtime.
  • Two audits listed on DefiLlama and meaningful TVL of about $53.7M.
  • Offers a CLI for integrating existing agents and tools.
  • Plainly states its regulatory position and disclaimers.

Watch out for

  • No native token and no published fee schedule, so costs are unclear.
  • Homepage offers little technical detail on how the DeFi Llama-tracked BTC TVL is generated or held.
  • Audit count is listed (2) but auditor names and reports are not public.
  • Pitched at institutions and developers; there is a request-a-demo flow rather than a simple retail app.
  • Listed only since September 2025, so the track record is short.
  • Policy enforcement depends on correct mandate configuration by the user, which the project does not detail.

Vishwa fees

Vishwa's fees are not published publicly. Pricing for the banking infrastructure product appears to be handled through a demo or sales conversation, so prospective customers would need to ask Vishwa directly.

The homepage does show example GPU rates on OpenNEXT, such as $3.49, $3.81 and $4.29 per GPU-hour for H100 80 GB in different regions. These are compute prices from providers, not Vishwa's own charges, and availability varies by region.

Is Vishwa safe?

Vishwa says it does not hold customer funds or private keys, which reduces custody risk compared with a vault or exchange. Its disclaimer says it is not a bank, broker-dealer, investment adviser, exchange, custodian or money transmitter, so users do not get protections tied to those regulated roles.

DefiLlama lists two audits, but the project does not name auditors or findings. No hacks or incidents appear. Because the product is a control layer, risk also depends on correct mandate setup and on the security of the connected agents, chains and venues. The project is new, listed since September 2025.

6 steps

How to get started with Vishwa

  1. 1

    Read the homepage and architecture material to confirm the product fits your agent workflow.

  2. 2

    Decide which use case you need: capital (treasury, payments, credit, vaults) or compute through OpenNEXT.

  3. 3

    Define your mandate, including limits such as budget, venue, region and SLA.

  4. 4

    Use the request-a-demo or talk-to-us option to discuss onboarding, since self-serve steps are not described.

  5. 5

    Connect your agents and existing tools using the CLI, then set policy before enabling execution.

  6. 6

    Start with small limits and review the execution records before scaling up.

Who Vishwa is for

Vishwa is for enterprises, fintech teams and developers deploying autonomous AI agents that handle treasury, payments or compute purchasing and need enforceable limits. It is not aimed at casual retail users.

Vishwa FAQs

What is Vishwa?

Vishwa describes itself as financial infrastructure for autonomous AI agents. It adds a policy layer that verifies identity, authority, solvency and compliance before an agent moves capital or buys compute.

Does Vishwa hold my funds or private keys?

No. The homepage states that Vishwa governs execution without taking custody of customer funds or private keys. Vishwa Ltd. also says it is not a bank, broker-dealer, investment adviser, exchange, custodian or money transmitter.

Which blockchains does Vishwa support?

DefiLlama lists Vishwa on Bitcoin and Sui, with about $53.7 million in TVL at the time of the data. It is categorised as Anchor BTC, and its 7-day TVL change was -0.6%.

Does Vishwa have a token?

DefiLlama shows no token for Vishwa. The project does not mention a token launch.

What is OpenNEXT?

The homepage shows published GPU rates in examples, such as H100 SXM 80 GB from $3.49 per GPU-hour in India, with availability varying by region. Vishwa's own fees are not published publicly.

Has Vishwa been audited?

DefiLlama lists two audits, but the project does not name the auditors or share reports. Check Vishwa's own documentation for details before relying on that.

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How we checked

Sources

  1. 1.defillama.com/protocol/vishwa

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