UNICITY LABS AND QUANT PARTNER TO BRING VERIFIABLE EXECUTION TO AGENTIC TRADING
Today we're announcing a partnership between Unicity Labs and Quant to build the secure foundation for agentic finance. Quant - the AI intelligence and execution layer for the agentic future of finance, will run its financial agents on AOS, Unicity's agent operating system.
The partnership centers on the one thing agentic finance cannot ship without: verifiable execution — security and compliance enforced at the runtime level, with a provable record of every action an agent takes and the authority under which it took it.
An AI agent that can research a market is interesting. An AI agent that can move funds is a liability — unless the system underneath it is trustworthy in its own right.
Most agent frameworks hand a model broad latitude and hope it behaves; the reasoning loop effectively holds the keys to everything it touches. That is an acceptable risk when an agent is drafting an email. It is not acceptable when it is sizing a leveraged position or signing a transaction. In finance, "the model usually does the right thing" is not a control. Security, compliance, and auditability have to be guarantees the system keeps, not principles it aspires to.
That is the gap this partnership closes.
AOS is a user-space microkernel that treats an AI agent the way an operating system treats an untrusted program. The reasoning loop runs in isolation and reaches the outside world only through a narrow, well-defined interface — a brain in a sealed room with a mail slot, not a tenant with a master key. It cannot bypass the sandbox, skip the audit, or invoke a capability it was never granted.
For Quant, that architecture delivers three guarantees:
A user's limits — a ceiling on leverage, a cap on position size, a loss limit over a period — are enforced by the kernel, below the agent rather than beside it. The runtime, not the agent, decides what each request is allowed to do, so autonomy stays bounded and revocable.
Signing authority is isolated from the reasoning loop. An agent can *request* a transaction, but the keys sit behind the enforcement boundary — and, where the user chooses, on dedicated hardware. The agent never sees the secret material and cannot move funds outside the user's limits.
Every consequential action passes through the kernel, so every consequential action is recorded — what the agent did, which capability it used, and under what mandate — in a record that cannot be rewritten after the fact by the code it describes. Compliance stops being a log appended at the end and becomes a property of where the work happens.
This is compliance *by construction*: a non-compliant action isn't caught after the fact by a middleman watching the flow — it's never constructed in the first place. And consequential actions never ride on free-form model output: they execute through deterministic, auditable paths, so outcomes are predictable, repeatable, and provable.
Together, the two companies are building something neither could ship alone: an AI financial companion that can research, monitor, and *act* across markets, with security and compliance enforced by the operating system it runs on.
For users, that means genuine self-custody and bounded autonomy at the same time. For partners and regulators, it means an execution history that can be verified — not only the outcome of an action, but the authority under which it was taken. For the broader agentic-finance ecosystem, it's a template: agency without abdication.
"An agent that can move money cannot be secured by prompt engineering. The enforcement has to live below the agent — in the runtime — where a user's mandate is a hard boundary, not a suggestion the model is asked to respect. That is what AOS was built for, and finance is where it matters most."
> — Mike Gault, Founder & CEO, Unicity Labs
"We can give users a companion with real agency precisely because the floor is guaranteed, not hoped for. The user sets the limits, the kernel enforces them, and every action is provable afterward. That's what lets us offer autonomy without asking anyone to surrender custody."
> — [Bartek Sibiga, Co-Founder], Quant
The initial integration focuses on running Quant's autonomous agents inside AOS with kernel-enforced mandates, isolated signing, and a verifiable audit trail. From there, the teams will expand coverage across supported rails as tokenization broadens, and deepen the enforcement and protection layers as autonomy matures.
The agentic future of finance is already underway. This partnership is about making it usable, understandable, and safe — for the people it's meant to serve.
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Unicity Labs builds cryptographic infrastructure for the agentic economy. Its agent operating system, AOS, puts security interception, policy enforcement, and audit below the agent — so autonomy can be granted without surrendering control. More info at unicity.ai.
Quant is the AI intelligence and execution layer for the agentic future of finance — a self-custody financial companion that helps people understand, monitor, and act across markets through natural conversation. Live at tryquant.io