Home/Infra/@Vishwa_lab

48

Score · promising

Scored 2w ago

@Vishwa_lab

Vishwa

Vishwa is building banking infrastructure for autonomous AI agents, providing execution controls, policy enforcement, and attestation for agent-operated capital movements. The project claims $170M live on mainnet with sub-15ms authorization latency, offering a control layer that sits between agent intent and settlement. Founded in late 2023, it's backed by credible partnerships (Solana ecosystem, Fidelity Labs involvement) and is positioning itself as infrastructure for the emerging agent-native finance category.

𝕏 @Vishwa_lab ↗ t.coInfrapromising🔇 quiet 38d

AI Analysispromising

Confidence

78%

Vishwa is building banking infrastructure for autonomous AI agents, providing execution controls, policy enforcement, and attestation for agent-operated capital movements.

The project claims $170M live on mainnet with sub-15ms authorization latency, offering a control layer that sits between agent intent and settlement.

Founded in late 2023, it's backed by credible partnerships (Solana ecosystem, Fidelity Labs involvement) and is positioning itself as infrastructure for the emerging agent-native finance category.

Green flags: Account <2 years old (Dec 2023) with ~20k followers - early-stage profile · Clear technical differentiation: execution control layer for AI agents, not just another payment rail · Claims $170M live on mainnet with real-world partnerships (Ondo, x402, Pharos ecosystem) · Credible ecosystem positioning: selected for Anthropic's Cyber Verification Program, Solana partnerships · Substantive content: technical documentation, podcast series with real industry figures (Fidelity Labs, Solana Growth Lead)

Red flags: No visible token yet despite mainnet claims - unclear path to token distribution · Heavy narrative focus on 'agent-native finance' without demonstrated agent adoption metrics · Website claims ($170M live) need independent verification - no on-chain explorer links provided

Token

No · pre-launch

Chain

Solana

Stage

mainnet+live

Category

agent banking layer

Recent tweetsSee all on 𝕏 →

BTCvc CoinGecko listing verification. Request ID: CL1508260006 GeckoTerminal: https://t.co/eNQzQdPueG

1mo ago♥ 6💬 5🔁 0

July was a major step forward in our mission to build the infrastructure layer for agent-native finance. https://t.co/Ll3sIgqzvm

1mo ago♥ 5💬 0🔁 0

Last week during Stanford Blockchain Week, Vishwa Co-founder @nathan_sj_stem joined @cyberqualia from @PsyProtocol and @h_joshua_rivera of Blockchain Capital at @StanfordSBA BASS for a panel on “Agentic Trading Infrastructure.” The conversation explored what changes when AI agents begin initiating financial transactions, from autonomy and transaction speed to trust, control, regulation, and the infrastructure required for agents to manage meaningful capital. A great discussion with builders shaping the next chapter of agentic finance. See you at the next BASS.

1mo ago♥ 6💬 0🔁 1

“Identity is the very beginning of the agentic workflow. Payment is the very end. If the middle doesn’t work, neither of them will have real adoption.” Hubble EP6, with @ChiZhangData, Co-Founder & CEO of @GoKiteAI, and @scottshics, Co-Founder & CTO, explores the identity, permissions, and execution controls agents need before they can safely act on behalf of users. (0:00) Why giving an agent your credit card is like handing it to a four-year-old (3:05) From Agent Passports to Know Your Agent (6:30) Why agents need identity, delegation, and programmable permissions (9:15) Where pre-execution control fits in the agentic stack (13:54) The risks non-technical users don’t know they are taking (15:30) The four components that define an agent’s identity (18:49) Access and policy control for regulated financial assets (20:20) Why identity and payments alone are not enough (25:18) The invisible gap between AI demos and real adoption (27:07) Resolving ambiguity before an agent acts (28:08) Keeping execution within the user’s original mandate (29:59) What multi-agent orchestration can and cannot do today (33:49) Why solving the user’s problem matters more than agent-to-agent hype

1mo ago♥ 53💬 3🔁 68

@NVIDIA’s Open Secure AI Alliance gets it right: an agent is more than a model. At Vishwa, we make financial products agent-ready—identity, permissions, policy checks and audit evidence around every action. Intelligence proposes. Infrastructure authorizes. https://t.co/vAJ2oAjuE8

1mo ago♥ 5💬 1🔁 1

Signal Timeline

DY

@Dylan_HODL followed

AFirst discovered·2w ago

Score breakdown0–100

🎯Scout conviction

+22.1 / 35

📚Scout consensus

0 / 10

🪪Profile & earliness

+12 / 20

✍️Substance

+16 / 20

🤖AI verdict

+21.9 / 30

⚠️Penalties

-24 / 40

48

Below threshold (74)
Watching for additional signals.

Followers

20.3K

Account age

2.8y

Scouts

1

First seen

2w ago