It handles end-to-end financial operations through execution controls, expanding what AI can safely execute.
A bank is fundamentally a gate - every move checked before it happens. Agents have no gate. They run straight from intent to settlement, with nothing in between.
Every agent request passes through the same gate: authorized against policy, moved across a rail, and attested on-chain.
Limits, allowlists, velocity and counterparty rules enforced at the moment of request - bad moves rejected in under 15ms.
Stablecoins, x402, FX and traditional banking behind a single neutral API - across payments, treasury and real-world assets.
Each authorization writes a signed, on-chain record - a continuous audit trail for auditors and regulators.
Declare policy once. Every agent request is checked against it - and every authorization returns a proof.

“It’s a big jump from letting your agent write something for you to actually letting it manage literal dollars.”
Watch the conversation →
“The future is not blind autonomy for agents. It is controlled autonomy.”
Watch the conversation →
“You need to move at agentic speed, but you also need the controls in place for execution to be accountable and traceable.”
Watch the conversation →Vishwa never holds customer funds or private keys. Capital moves directly between you and your counterparties - the control layer sits in front, never in the middle.
Read the docs →Audit reports are published in full, and Vishwa is selected for Anthropic’s Cyber Verification Program.
View audit report →Authorization proofs follow ERC-8150 - signed, on-chain, and verifiable by anyone, not just by us.
Read the ERC-8150 draft →Conversations on agents, money and the rails between them.
The architecture argument for pre-execution enforcement.
From human approvals to policy-enforced agents.
Rails that let an AI agent hold and move funds without a human approving every transaction. Vishwa enforces control before execution: each agent request passes a policy gate that checks spend caps, approved venues, and permitted operations, then returns a signed authorization proof.
An open standard, authored by Vishwa, for zk-verifiable agent transactions. Every authorization returns a proof that is signed, recorded on-chain, and checkable by anyone - so an agent’s actions can be audited without trusting its operator.
With zk light clients that verify assets natively on the source chain, so a balance on one chain can be proven on another without trusting a bridge or an oracle. $170M in assets is verified live on mainnet today.
Yes. The agent operates the strategy; the control layer enforces per-trade, daily, and monthly caps, approved venues, and slippage bounds. Limits are sealed policy, not prompts - the agent cannot exceed them.
Vishwa is agent-native. Install the CLI from npm (@vishwalab/cli), run vishwa-cli login to link a wallet, and connect over MCP with vishwa-cli mcp. Machine-readable instructions are published at vishwalab.com/llms.txt and api.vishwalab.com/skills/vishwa-cli/skill.md.
Yes. Audit reports are published in full at docs.vishwanetwork.xyz, and Vishwa is selected for Anthropic’s Cyber Verification Program.
Reach out through the contact form on this page. Tell us your use case, the chains you operate on, and the controls you need enforced - we respond to every serious inquiry.
Talk to us - and put enforcement in front of every agent-initiated move.