Oraclon
AI-powered analytics platform delivering intelligent business intelligence
- Industry
- Technology / AI
- Client
- Oraclon Inc.
- Timeline
- 5 months
- Year
- 2025
Oraclon needed a sophisticated SaaS platform to deliver AI-driven analytics to enterprise clients. The challenge was building a product that made complex ML insights accessible through an intuitive, non-technical interface.
- Build a production-ready AI analytics SaaS platform
- Integrate OpenAI for natural language query capability
- Design an intuitive dashboard for non-technical users
- Implement multi-tenant architecture with data isolation
- Create embeddable analytics widgets for client integration
Engineered a full-stack AI analytics platform with a Python ML backend, Next.js frontend, and OpenAI integration enabling plain-English queries against live business data.
Built a Python/FastAPI backend with LangChain orchestration enabling natural language queries over structured business data
Designed an intuitive drag-and-drop dashboard builder with 15+ chart types powered by Recharts and D3.js
Implemented secure multi-tenant data architecture with row-level security ensuring complete client data isolation
Created embeddable analytics widgets with a JavaScript SDK for clients to embed insights into their own products
Frontend
AI / Backend
Data
Infra
Natural Language Queries
Users ask questions in plain English, "What was our best-performing region last quarter?", and get instant chart answers.
Dashboard Builder
Drag-and-drop canvas with 15+ chart types, KPI cards, and data tables configurable without any code.
AI Anomaly Detection
ML models surface unusual patterns and anomalies automatically, with plain-English explanations.
Multi-tenant Architecture
Secure, isolated data environments for each enterprise client with granular permission controls.
Embeddable Widgets
A JavaScript SDK lets clients embed live Oraclon charts and KPIs directly into their own applications.
Scheduled Reports
Automated PDF/CSV reports delivered by email on custom schedules to stakeholders across the organisation.
< 3s
Query Speed
Average response time for natural language analytics queries
12
Enterprise Clients
Enterprise clients onboarded within 60 days of launch
20+
Data Sources
Supported connectors including SQL, REST APIs, and CSV
-70%
Time to Insight
Reduction in time to generate executive reports
Let's build something that outlasts the roadmap.
Tell us the problem other teams called impossible.