Reuse state
Resolve a customer, order, ticket, or incident once. Follow-up turns start from grounded context, not zero.
Early prototype · design partners welcome
Give agents a better memory of what matters.
Parrowx sits before the LLM: it reuses grounded state, reacts to live tool facts, and returns the next safe action with a replayable trace.
LIVE DECISION TRACE CASE_04812
STATEorder_4812reused
LIVE FACTchargeback_9921new
ACTIONpayments review requiredsafe
01 / WHAT PARROWX DOES
React to facts
When a tool, policy, CRM, or payment event changes the situation, rerank the relevant evidence.
Show why
Return the selected evidence, action change, and replayable trace for operators and developers.
02 / THE DECISION LAYER
Not another chatbot.
A control layer for agents.
Bring your own LLM, tools, and data. Parrowx helps agents make grounded decisions before they spend another expensive call—or take an unsafe action.
DECISION LAYERParrowxre-rank
NEXT SAFE STEPSafe action
WITNESSReplayable
audit trace
audit trace
WAITING FOR CONTEXT
03 / STARTING WHERE STATE CHANGES FAST
SUPPORT + VOICE
Customer facts change mid-conversation.
Orders, policies, payments, bookings, and account details should update the next action—not get lost in chat history.
OPERATIONS + INCIDENTS
New tool results change the next step.
Alerts, logs, permissions, and runbooks need evidence-linked actions that an operator can inspect later.
TALK TO THE BUILDER
Building agents with tools,
state, or operational data?
I’m speaking with a small number of teams about repetitive workflows where context changes, tool calls repeat, or decisions need an audit trail.