Build frontier financial agents in days, not years. Battle-tested orchestration, execution, and policy enforcement.
Four systems your agents run on. Each one is battle-tested independently. Together they're the full operating environment.
The right model for every task. Inference fires only when it matters.
Routes each subtask to the right model: frontier for reasoning, fast and cheap for classification. Event-driven inference means agents only think when something meaningful happens. This is why you need UV to scale.
Every decision hits your rules before anything executes.
Position limits, drawdown controls, exposure caps, restricted assets — globally or per-user. Violations get blocked before execution, and the reasoning trace records what happened and why.
Built-in execution across dozens of venues. Customize your environment in minutes.
Agents optimize execution based on your team's configuration: smart order routing, cross-chain settlement, and slippage optimization come built in. Scope the environment to a single venue or open it up to everything. Agents handle the rest.
Financial context out of the box. Custom integrations only if you want them.
Price feeds, funding rates, and sentiment in one tool layer covering crypto, equities, and prediction markets. Agents can operate without any extra integrations, but adding custom data only takes minutes.
import uv
# Connect to your harness instance
harness = uv.Harness(api_key="uv_sk_...")
harness.add_plugin("sentiment_scanner", handler=my_scanner)
# Global policy — every agent
harness.add_policy("max_lev", 3.0)
# Spin up an agent for a user
# Right model for each subtask
agent = harness.create_agent(
account="user_abc123",
models=["sonnet", "haiku"],
signals=["imbalance", "vol_shift"],
tools=["order", "position"],
plugins=["sentiment"],
)
# Account-level policies
agent.add_policy("max_pos", 25_000)
agent.add_policy("dd_stop", -0.05)
agent.deploy()Configure your agent environment with plugins and policies, then integrate into your platform with a widget or API key.
Drop agent UI into your app. Your users interact with agents inside your platform, under your brand.
Create agents, push policies, manage user accounts programmatically. Build exactly the experience your platform needs.
Our engineering staff works closely alongside your team to design and ship a world-class agent experience: custom environments, bespoke policies, and full compliance sign-off before you go live. Book a call →
Ship agents next month, not next year.
The policy engine enforces your risk framework on every decision before anything executes: position limits, exposure caps, restricted assets. The controller system provides full audit trails for every action, including the reasoning behind it. Built to support regulatory requirements out of the box with minimal changes to the core system.
It gets blocked before execution. The reasoning trace logs what happened and why it was stopped. The user gets a clear explanation. No action that violates your rules ever reaches an exchange.
Our agents run on a proprietary trading engine designed for platform scale. The same way large quant firms run tens of thousands of algorithms across markets simultaneously, the harness can support effectively unlimited agents because the architecture is optimized for scale and security over pure latency. Event-driven inference means agents only consume compute when something meaningful happens, not on a polling loop.
Yes. They can ask why it made a decision, what it's watching, or tell it to adjust. The agent responds with its actual reasoning, not a canned answer. Users can understand what's happening and steer it.
Any of them. OpenAI, Anthropic, Mistral, Llama, your own fine-tunes. We route tasks to models, not sell them. Swap providers anytime without changing your integration.
Tell us about your platform and we'll show you what the integration looks like.
Schedule a Call30-minute call. We'll tell you if the harness is a fit.