We build AI agents for defined blockchain workloads, including onchain monitoring, transaction drafting, treasury operations and reconciliation. Agents operate within defined permissions and spending limits, with human approval for value-moving actions. We use approved frontier and private models under a data policy agreed with your team.
We look for repetitive judgment calls with clear inputs. Where ordinary software fits better, we say so.
We agree what the agent can do autonomously, what requires human approval and what remains off-limits.
We set least-privilege access, spending limits and allowlisted contracts, and keep signing outside the model.
We write representative tasks with expected outcomes and known failure cases. That becomes the acceptance bar.
You see weekly demos. We test for prompt injection, data leakage and unsafe transactions.
The agent runs in a sandbox, then shadow mode, then approval-required, then alone. Each stage needs evidence.
We keep the evaluations running as models and data change. A named owner holds the audit trail.
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