What is the Intellytics three-layer architecture?

Intellytics uses a three-layer architecture: (1) Data Layer - Ingests raw financial data from APIs into MongoDB staging layer and PostgreSQL warehouse with multi-currency normalization, (2) Report Layer - Transforms data into interactive dashboards and PDF reports with sub-67ms query latency, (3) AI Layer - Powers Fini chatbot for natural language financial queries using Google ADK and LiteLLM

How does Intellytics achieve sub-67ms query latency?

Intellytics achieves sub-67ms query latency through materialized views in PostgreSQL, pre-calculated dual-currency columns (USD/INR), Redis caching, and GPU pooling for compute-intensive operations. Dashboard queries are optimized with indexed columns and query planning

Is Intellytics compliant with financial regulations?

Yes. Intellytics is designed with FINRA WORM (Write Once Read Many) compliance, SOC 2 Type II certification, GDPR support, and maintains a complete immutable audit trail. All administrative actions and data transformations are tracked with timestamps and actor identification

How does the multi-currency reconciliation work?

Intellytics automatically handles USD/INR multi-currency reconciliation by fetching historical OHLC exchange rate data, caching rates, and applying quarter-end or average rates based on transaction dates. Values are pre-calculated in dual columns to eliminate on-the-fly conversion overhead

What is Fini? How does it work?

Fini is an LLM-powered conversational AI assistant built on Google ADK using LiteLLM through OpenRouter for model access. It uses a multi-agent architecture with database_agent (primary orchestrator), reports_agent (reporting integration), and code_agent (analytical queries) to answer complex natural language questions about financial data

What databases does Intellytics use?

Intellytics uses MongoDB 6.0 for immutable staging of raw API snapshots, PostgreSQL 17 as the data warehouse for structured analytics, and Redis for caching. This separation ensures reliability, performance, and full auditability

How much manual reporting time can Intellytics save?

Investment teams using Intellytics report a 70% reduction in manual reporting overhead. The platform automates ETL, multi-currency reconciliation, dashboard generation, and provides AI-powered insights—eliminating hours of spreadsheet work and manual data consolidation

Does Intellytics provide an immutable audit trail?

Yes. Intellytics implements the Snapshot Pattern for data ingestion, storing complete raw API responses with date-stamped MongoDB snapshots. Every record includes data lineage metadata tracing back to specific snapshots, enabling full compliance and historical debugging capabilities

Intellytics - AI-Powered Fintech Analytics Platform with Fini Chatbot | AlphaNimble

Overview

Intellytics is a unified financial intelligence system designed to ingest raw financial data, transform it into reporting standards, and deliver insights via interactive dashboards and an AI-driven conversational assistant.

Key Features

Real-Time Dashboards: Interactive visualizations of financial data with PDF export capabilities
AI Chatbot (Fini): Natural language queries for portfolio and financial data analysis
Multi-Currency Support: Automated USD/INR reconciliation with historical accuracy
ETL Pipeline: Robust data ingestion and transformation with immutable staging

Performance Metrics

Sub-67ms query latency for dashboard queries
70% reduction in manual reporting time
Fully automated multi-currency reconciliation
Enterprise-grade data reliability and auditability

Technology Stack

Frontend: Next.js 15, React 18, TypeScript, Tailwind CSS
Backend: FastAPI, Python 3.12+, AsyncIO
Database: PostgreSQL, MongoDB, Redis
AI: Google ADK, LiteLLM, OpenRouter