The Brain

Cognitive Finance for the
Modern Enterprise.

BOREXIA does not just record your past; it models your future. Powered by proprietary localized RAG and high-speed LLM inference, it delivers absolute clarity on where your wealth is heading.

Hyper-Accurate Categorization

Legacy systems rely on rigid "if-then" rules that break when merchants change payment processors. BOREXIA uses a semantic understanding engine that parses context, location, and amounts to categorize transactions with 99.8% precision.

  • Differentiates personal Amazon purchases from AWS hosting.
  • Cleans chaotic bank string outputs automatically.
  • Learns from your manual overrides instantly.
ACH*ELECTRONIC PAY AMZN MKTP US
Amazon Shopping
SQ *COFFEE ROASTERS NYC 90210
Coffee Roasters Dining
TFR TO WEALTHFRONT BROKERAGE
Wealthfront Transfer
The Swarm

Multi-Agent Architecture

BOREXIA does not rely on a single, generic monolithic model. Your financial state is processed by a swarm of specialized micro-agents, each trained for a singular purpose to eliminate hallucinations.

Agent.Yield

Yield Optimizer

Continuously calculates the differential between your liquid cash balances and current high-yield market rates.

> Target: Uninvested Capital
> Action: Generate routing alerts
Agent.Tax

Liability Forecaster

Projects estimated capital gains taxes and actively searches for strategic tax-loss harvesting opportunities in your ledger.

> Target: YTD Equity Gains
> Action: Calculate harvestable loss
Agent.Risk

Anomaly Detector

Maps statistical baselines of your spending velocity to instantly flag fraudulent micro-transactions or creeping subscription fees.

> Target: Outflow Velocity
> Action: Trigger immediate UI block

Predictive Forecasting Models

The Intelligence Engine models your financial future using probabilistic simulations. It accounts for your historical income variance, recurring subscription hits, and anticipated capital expenditures to plot your exact trajectory.

  • Projects cash flow 30, 60, and 90 days into the future.
  • Warns you before major liquidity dips occur.
  • Dynamically recalculates every time you log a new transaction.
90-Day Projection Array Simulating...
TODAY

Contextual Memory via RAG

Off-the-shelf AI models have zero memory of your specific financial history. BOREXIA uses Retrieval-Augmented Generation (RAG) to fetch your isolated vector data *before* analyzing a prompt, ensuring deeply personalized context without retraining the base LLM.

  • Vectors are stored in heavily partitioned, user-specific silos.
  • Dynamic prompt injection provides the LLM with exact historical framing.
  • Maintains absolute Zero-Knowledge compliance.
terminal - rag_pipeline.sh
> Initializing semantic query...
>> Searching Vector DB [Index: user_9920x]
>> Match found! (Cosine Similarity: 0.942)
> Injecting historical context payload:
"User typically expenses 'DO DIGITALOCEAN' on the 1st of the month for $45.00. Categorize upcoming charge accordingly."
> Executing LLM Inference (Groq LPU)...
> STATUS: 200 OK - Context successfully applied.

Behavioral Anomaly Detection

Your spending has a unique fingerprint. BOREXIA's intelligence layer continuously monitors standard deviations in your expenditure velocity. If a subscription price hikes silently or an unauthorized fee occurs, the system catches it instantly.

  • Detects "Creeping Costs" (e.g., streaming services raising prices by $2).
  • Flags duplicate charges immediately upon manual entry.
  • Identifies unusual spend velocity in specific discretionary categories.

Subscription Price Increase

Netflix automatically increased your premium plan from $19.99 to $22.99 this month.

High Velocity: Dining

You have spent 210% of your moving average in 'Food & Dining' over the last 7 days.

Yield Optimization

The War on Cash Drag

Traditional Banking
0.01%

Average yield on idle checking balances. Value is destroyed daily by inflation.

BOREXIA Optimized
5.00%+

The AI calculates exactly how much liquid cash is safe to sweep into high-yield vehicles without risking overdrafts.

Llama-3.1
Base Intelligence

State-of-the-art 8B parameter models running on Groq LPU hardware.

128k
Context Window

Analyzes thousands of ledger entries simultaneously without losing the thread.

Isolated
RAG Memory

Your historical data is isolated; models learn your patterns without global data sharing.

Deploy the Intelligence.

Experience the most advanced cognitive financial architecture firsthand. Initialize your personal BOREXIA dashboard today.