A comprehensive view of the bespoke technical architecture, open-source repositories, and digital infrastructure built by InsightFusion Tech.
An advanced, open-source data engineering tool designed to ingest, process, and structure unstructured textual data leveraging local AI models.
AETHER utilizes the power of specialized LLMs deployed locally to automatically map raw unstructured texts into strictly typed JSON structures. It acts as an autonomous intermediate pipeline, dramatically replacing conventional manual data entry workflows for enterprise data lakes.
An internal robust system transforming messy cash-report rows into structured allocations against a policy master.
Built to reduce manual reconciliation and back-and-forth on ambiguous lines. Keeps everything offline and on-premise where it matters for organizational security. Handles importation of cash-style transaction data, extraction with fuzzy matching, comprehensive analyst workflow (comments, review queue), and detailed reporting exports.
An AI-powered actuarial calculation service handling real-time loss adjustments.
Developed to bridge the gap between traditional actuarial tables and modern predictive systems. It securely processes loss metrics and identifies systemic anomalies using highly constrained AI environments, completely isolated from public internet exposure.
End-to-end full stack deployment for a specialized corporate entity.
This production-grade platform serves as the digital front door for core business operations. It integrates direct communication methods and internal tracking to ensure client interaction is cleanly pipelined into their backend databases.
A comprehensive policy application system managing tens of thousands of data points.
We reverse-engineered legacy data frameworks to build a contemporary RESTful API layer. This connected archaic systems with modern front-ends, scaling to manage over 29,000 policy data loads without latency.
Professional desktop utility enabling non-technical staff to execute complex analytics via natural language.
Wrapped local Ollama inference models inside a clean interface, allowing users to just type 'Show me quarterly losses grouped by region' and have it automatically generate and execute the required SQL.