A live book of AI strategies executing on Hyperliquid across equities, ETFs, commodities, and perpetuals. It is the hardest test we could set our own software: real money, no supervision.
to bring about, suddenly.
Raw signal. Unstructured, unattended, going nowhere.
to separate out from.
Structure forms. The signal locks into something solid.
we take the chaos out of operations.
Structure becomes systems. They run without you.
Systems that run
themselves
Precipitate is an applied-AI studio. We build agentic automations that run marketing, operations, and trade execution.
What we operate
Most studios show you a portfolio. We show you a control panel. These four systems are running in production as you read this, and the numbers below are pulled from them live.
An AI research desk grounded in daily whale-positioning briefs. It watches what the smart money is actually doing. The board is public.
The agentic automations we build for other companies. Content engines, cold outreach, reporting, and customer messaging, running as software. Scheduled, monitored, self-healing. They ask for a human only when a decision needs one.
GPU servers and open-weight LLM endpoints for teams that need private inference. Nothing leaves your perimeter.
Three steps, then it runs
- 01
We map the manual work
You tell us what eats the week. The reporting, the lead chasing, the content, the inbox, the back office. We work out which of it a machine can own end to end, and which of it genuinely needs a person.
- 02
We build the agents
Not a chatbot and not a demo. AI agents that decide, act, and recover on their own, wrapped in scheduled jobs with locking, timeouts, and alerting, wired into the tools you already pay for.
- 03
It runs, you watch the numbers
The system ships already running. It reports to you on a schedule, and it interrupts you only when a decision actually needs a human. That is the whole point.
We take a small number of engagements, and only where an agentic system can genuinely do the work of a department. If that is not your situation, we will say so.
Start a conversationQuestions we get asked
- What is agentic automation?
- Agentic automation is software that pursues a goal instead of following a fixed script. A traditional automation runs the same steps every time and breaks the moment reality changes. An agentic system reads the situation, decides what to do, acts through real tools, checks the result, and retries or escalates when something goes wrong. In practice that means it can run unattended for months rather than needing a person to babysit it.
- What does Precipitate actually build?
- Three things. Marketing engines that research, write, translate, and publish content and run cold outreach on their own. Operations systems that handle reporting, monitoring, lead handling, and customer messaging on a schedule. And full production applications when the job needs a real product rather than an automation, including payments, auth, databases, and multi-language support. Underneath all of it sit AI agents with guardrails, so the work can be trusted to run without supervision.
- How is this different from hiring an agency or a freelancer?
- An agency hands you a deliverable and leaves. We hand you a system that is already running, and we keep it running. The difference shows up in what you own at the end: not a campaign or a document, but software that does the work every day without anyone in the loop. We currently operate 110+ scheduled jobs across 40+ integrations this way.
- Do you only work with trading and onchain companies?
- No. Most of what we run is ordinary business operations: content, outreach, reporting, and customer messaging for companies with no connection to markets at all. The trading desk is our own system. It exists because it is the hardest possible test of whether autonomous software can be trusted, with real money on the line and no one watching.
- How do engagements work?
- We start by mapping the manual work and telling you honestly what a system can and cannot own. If it is a fit, we build and deploy the system, then operate it. We take a small number of engagements at a time, because these systems are run rather than delivered.
Precipitate began as an onchain protocol for autonomous trading, governed by the RAIN token.
The protocol still runs. The trading desk, the intelligence terminal, and compute are its products.