The Living Mathematical Digital Twin of Your AI Revenue.
SaaS metrics are backward-looking retrospectives. Revenue Twin continuously computes a causal, multi-variable graph of your entire enterprise—synchronizing token velocity, gross margin elasticity, subscription churn probabilities, and multi-rail cash flows in sub-5ms intervals.
How Revenue Twin Reconciles Complex Business Realities
A synchronized mathematical graph bridging asynchronous telemetry to enterprise liquidity.
The 6 Discrete Simulation Engines of Revenue Twin
Predict systemic impacts across every layer of your business before making changes in production.
Model Pricing Elasticity
Simulate migrating from OpenAI GPT-4o to Claude 3.5 Sonnet or self-hosted DeepSeek V3 across 100% of production workloads with instant margin forecasting.
Involuntary Churn Cascade
Predict card decline rates across 140+ countries and calculate the exact ARR recovered when switching from standard retries to CyraRecover intelligent dunning.
Power-User Negative Margin Stress Test
Identify the top 5% of customers whose runaway prompt tokens erode your gross profit, and model dynamic credit caps without hurting customer satisfaction.
Hardware Pre-Commitment Amortization
Model cash runway under multi-year H100/H200 GPU cluster reserve leases against uncertain monthly subscription growth rates.
Multi-Acquirer Fee Arbitrage
Simulate splitting payment volume 60/40 between Stripe and Adyen to optimize cross-border interchange fees and maximize net settlement.
Dynamic Seat vs Usage Repackaging
Backtest converting your entire customer base from flat per-seat pricing ($30/user) to hybrid base + token consumption tiers.
Deterministic Causal Equations, Not Heuristic Guesses
Revenue Twin expresses every financial state transition as a system of coupled differential equations solved in real time.
Let M_i(t) be the contribution margin of tenant i at time t. Revenue Twin computes:
Where R_i is recognized subscription MRR, T_k is token volume through model k, and γ_i is the dynamic payment gateway fee factor. When dM_i/dt < 0 crosses threshold θ, autonomous mitigations are queued instantly.
How Enterprises Deploy Revenue Twin
Walkthroughs of high-stakes revenue transformations executed with 100% simulation accuracy.
Model Provider Migration
A coding copilot platform backtested shifting 40% of junior code completions from GPT-4o to Claude 3.5 Sonnet. The Twin proved gross margins would lift from 52% to 74% without degrading customer task completion rates.
Cross-Border Merchant Optimization
An AI design platform simulated routing European enterprise cards through Adyen Amsterdam while keeping US cards on Stripe. The Twin identified $140,000 in annual interchange fee savings.
Prepaid Token Wallet Introduction
A voice agent provider tested shifting from post-paid monthly invoices to auto-reloading prepaid wallets. The Twin simulated a 92% reduction in involuntary churn and +$320k in upfront working capital.
Zero-Lag Ingestion Across Your Entire Data Stack
Bi-directional synchronization with billing platforms, data warehouses, and vector stores.
Real-time CDC webhook listener for instant payment state sync.
Nightly historical ledger backtest and SQL transformation sync.
Direct token metering proxy traces with sub-millisecond timestamps.
Two-way GAAP revenue recognition and journal entry exports.
Revenue Twin Technical FAQ
The Twin engine utilizes lock-free atomic ring buffers capable of handling 500,000 events/sec per node, recalculating marginal unit economics without dropping incoming telemetry packets.
Yes. Cyra provides a developer CLI tool cyra-cli simulate --template=v2.prompt that runs your new prompts against the Revenue Twin to calculate downstream margin impact before production merge.
No. Simulations execute on anonymized mathematical graph nodes representing usage vectors and financial balances. Customer PII and prompt text are never ingested into the simulation memory pool.
Experience the Power of Predictive Revenue Simulation
Connect your data sources and initialize your Revenue Twin in under 20 minutes.