Should we trade, and when?
Assess whether to execute and identify the appropriate timing.
We bring together market data, workflow context, institutional knowledge and governed AI to enable smarter trading before, during and after execution.
Assess whether to execute and identify the appropriate timing.
Identify counterparties, assess available liquidity and understand expected price outcomes.
Evaluate strategy, protocol, channel and venue.
Explain the reasoning and evidence behind every execution recommendation.

Our approach is simple:
augment the trader, strengthen the workflow, preserve control.
The Avarrai platform is being built around five core capabilities:
Interpret market conditions, liquidity signals and execution context to understand what is actionable.
Evaluate timing, price, counterparties, venues, protocols and execution strategies before acting.
Turn market and workflow context into explainable recommendations while keeping the trader in control.
Capture the context, reasoning and outcomes behind execution decisions to strengthen oversight and auditability.
Learn from execution outcomes and institutional experience to improve future decisions.
Fixed-income markets provide a natural starting point for execution intelligence. Liquidity is fragmented, price discovery can be uncertain, trading spans multiple protocols, venues and counterparties, and important execution context remains distributed across systems and workflows.
Avarrai brings that context together to help trading desks interpret market conditions, assess liquidity and counterparties, evaluate execution choices and understand the evidence behind those decisions.
The platform is being built to extend beyond fixed income, applying the same execution intelligence architecture across capital markets.
fixed income first. execution intelligence across capital markets.
Fragmented liquidity, electronification and more execution choices are increasing the number of variables trading desks must navigate.
Trading firms have access to more market and workflow data, while AI makes it possible to interpret and connect that information at a scale that wasn't practical before.
Execution decisions increasingly need to be explainable, governed and supported by evidence.
Trading infrastructure wasn't designed for this intersection. Avarrai is.
Avarrai is being built around a simple principle: AI should strengthen human judgement, not replace accountability.
AI can interpret context, evaluate options and make recommendations while keeping accountability with the trading desk.
Recommendations should be supported by understandable reasoning, evidence and the context from which they are derived.
Execution outcomes and institutional knowledge improve future intelligence within defined governance and control frameworks.
We're engaging with market participants, technology partners and institutions to help shape the next generation of execution intelligence.