Aidyia
Fully autonomous AGI-driven quantitative investment management.
Real-time AI financial auditing and predictive cash flow intelligence for modern SMBs.
FinanSee is a next-generation AI financial intelligence platform designed to bridge the gap between raw transactional data and actionable executive insights. Utilizing a proprietary RAG (Retrieval-Augmented Generation) architecture combined with fine-tuned LLMs specifically trained on GAAP and IFRS standards, FinanSee automates complex auditing tasks that previously required manual oversight. As of 2026, the platform features a 'Neural Ledger' that predicts cash flow volatility with 94% accuracy by analyzing multi-year historical patterns alongside real-time market sentiment. Its technical stack is built for high-throughput ingestion, supporting thousands of concurrent bank feed connections via Plaid and Salt Edge. The platform serves as a virtual CFO, providing deep-dive forensic analysis to detect anomalies, optimize tax liabilities, and generate investor-ready reports in seconds. Positioned as a disruptor to traditional accounting software, FinanSee focuses on proactive financial health rather than reactive bookkeeping, making it a critical tool for high-growth startups and mid-market enterprises looking to scale their financial operations without proportional increases in headcount.
Uses vector embeddings to match transactions to COA categories with a confidence-weighted scoring system.
Fully autonomous AGI-driven quantitative investment management.
The AI-powered quant trading platform for automated portfolio management without code.
Institutional-grade predictive analytics and hyper-personalized portfolio optimization.
Open-Source Financial Large Language Models for Data-Centric Finance
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Time-series forecasting models that incorporate macro-economic indicators and internal spending velocity.
Unsupervised learning models that identify duplicate invoices, unusual vendor behavior, and outlier amounts.
LLM-based interpretation of tax codes applied to real-time transaction data for deduction maximization.
Monte Carlo simulations for 'What-If' analysis regarding hiring, expansion, or pivot decisions.
Natural Language Processing (NLP) interface allowing users to query data using plain English (e.g., 'Show me SaaS spend trends').
Real-time FX conversion and translation using live interbank rates for global entities.
Startup running low on cash without clear visibility into non-essential spend.
Registry Updated:2/7/2026
Implement automated alerts for budget overages.
Weeks of manual labor spent reconciling accounts and gathering documents for external auditors.
A vendor accidentally double-charged for a large inventory shipment.