Asklyze | Enterprise AI Analytics for Oracle Data

Asklyze is an AI-powered analytics platform built for Oracle-based enterprise environments. It lets business users query their data in natural language and get back SQL, visualizations, dashboards, and written insights — no SQL expertise required.

A user can ask "Which departments have the highest operational costs?" or "Compare quarterly performance year over year" and receive a complete analytics output directly from Oracle-backed datasets. The platform targets organizations that need faster access to business intelligence without routing every report request through a technical team.

I contributed across frontend, backend, AI analytics features, and dashboard generation workflows as part of the startup engineering team across multiple development iterations.

Built product features and analytics interfaces using Oracle APEX, JavaScript, and TypeScript. A core part of this work was designing experiences that felt intuitive for business users despite sitting on top of complex enterprise Oracle schemas — large tables, legacy data structures, and business-specific terminology that don't map cleanly to simple UI patterns.

Built backend services and REST APIs on top of Oracle Database, handling data retrieval, query execution, and the business logic connecting the AI layer to enterprise datasets. Oracle environments present specific challenges: complex relationships, legacy structures, and schema conventions that differ significantly from modern databases. Getting reliable analytics outputs required careful handling of that complexity at the data layer.

Implemented the natural language querying pipeline and AI-assisted dashboard generation workflows. The core challenge was coordinating three moving parts — AI-generated SQL, data retrieval from Oracle, and visualization generation — into a seamless end-to-end flow that produced actionable outputs with minimal manual cleanup.

This work built directly on architecture and prompt engineering patterns developed for MyQuery, applied specifically to Oracle enterprise contexts.

Supported production deployment and platform operations across multiple feature releases and product iterations.

Natural language to Oracle analytics — full pipeline from question to dashboard, no SQL required

Enterprise-grade data handling — supports large schemas, complex relationships, and legacy Oracle structures

AI-assisted dashboard generation — coordinated AI, data retrieval, and visualization into a single workflow

Part of a broader AI analytics portfolio alongside MyQuery, sharing architecture patterns across both platforms

Frontend: Oracle APEX, JavaScript, TypeScript Backend: Oracle Database, REST APIs AI: Natural language querying, dashboard generation, analytics workflows