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THEA
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AI that amplifies human performance
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Catch us this week at @AIBC_World where we'll be joining industry partners to talk about how AI is solving some of the biggest challenges in risk markets.
We're also proud to announce that Thea has been shortlisted for Best Enterprise AI Platform!
We're also proud to announce that Thea has been shortlisted for Best Enterprise AI Platform!
THEA Network model keeps inference requests private, protecting model providers from distillation attacks, enabling them to retain ownership of their proprietary model behavior and the intellectual property it represents.
Model output remains isolated to a model provider’s own infrastructure, request routing and payment settlement is publicly verifiable. 🧵
Model output remains isolated to a model provider’s own infrastructure, request routing and payment settlement is publicly verifiable. 🧵
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Agents can already place a trade when a preset rule hits, and they can settle a tokenized asset afterward. The @Brickken and @redstone_defi report found no publicly documented case of an agent forming the investment decision itself over client money inside a regulated firm.
A mandate and clean asset data tell an agent what it may touch. They do not show how a counterparty tends to act when the same pressure shows up again.
A mandate and clean asset data tell an agent what it may touch. They do not show how a counterparty tends to act when the same pressure shows up again.
Agentic capital markets start with governed execution.
AI agents are entering financial workflows. The question is no longer only what they can do, but what they are authorized to do.
Our Brickken x @redstone_defi report maps the assets, data, payments and mandates behind that shift.
Read it now 👇View quoted post on X
CFTC Chair Selig is pointing at the right stack: always-on markets, tokenized assets, and agents that can transact.
The hard part is treating inference as a clean unit — one request, one price, one settlement — without a human in the billing loop.
The hard part is treating inference as a clean unit — one request, one price, one settlement — without a human in the billing loop.
JUST IN: 🇺🇸 CFTC Chair Mike Selig says the agency is preparing for the "era of onchain systems, mass tokenization, 24/7 trading, and agentic finance."View quoted post on X
