Litterman.ai listens to your market views, runs the Black-Litterman model, and responds with a rebalancing recommendation — all through natural conversation.
See how a portfolio manager interacts with Litterman.ai.
From spoken insight to optimized allocation in seconds.
Describe a macro event, earnings signal, or geopolitical development in plain English.
Gemini 2.5 Flash classifies the news and extracts structured P/Q matrices for the BL model — grounded with live search.
Market equilibrium priors are blended with your views via Bayesian optimization with turnover and concentration constraints.
The agent speaks the recommendation aloud and the live dashboard updates in real time via Firestore.
Not a chatbot. A quantitative voice co-pilot.
Real-time bidirectional voice using Gemini 2.5 Flash Native Audio — no transcription lag, no push-to-talk.
Rigorous Bayesian portfolio optimization — not LLM guessing. Market equilibrium priors blended with your explicit views.
Google Search Grounding ensures view extraction is anchored to current market data, not just training knowledge.
Allocation changes, Sharpe ratio, and portfolio delta visible instantly. Confirm rebalancing with a single voice command.
Deployed on Google Cloud Run with Firestore shared state — no local dependencies, accessible from anywhere.
Designed for the real workflow of portfolio managers — speak a macro view during a call, get allocations before it ends.
Join the waitlist for early access to voice-driven portfolio optimization.