Data Analytics / BI Platform

A multi-tenant BI platform that lets any team query their own
database in plain English, no SQL required.

Python

FastAPI

PostgreSQL

React

TypeScript

OpenAI

Anthropic

Docker

Overview

Project Overview

Quanta is a multi-tenant BI platform for teams without a SQL expert. Each org gets its own Postgres/MySQL workspace, roles, AI credits, and plain-English queries. Live in production, security tested.

The Problem

Teams face two bad options: enterprise BI—powerful but per-seat priced, needing a semantic model before the first chart—or raw SQL clients—free, immediate, but only usable by schema experts, leaving others waiting. Quanta keeps the directness of querying your own database, minus the SQL requirement.

SOLUTION

Our Solution

Arithmiks designed and delivered a conversational BI platform safe enough to run against a real production database.

Validated, Read-Only Query Execution

Every AI query is parsed structurally and rejected on any mutation, then run inside a read-only transaction—so a parser regression alone can never open a write path.

Secure Access to Private Databases

Private-subnet databases connect via an SSH bastion—strict security policy on one side, normal access on the other—making private DBs the default, not a workaround.

Cost-Efficient AI Planning at Scale

A compact schema representation ties AI planning costs to actual usage—not database size—cutting payload size ~60% with zero disruption to existing customers.

HIGHLIGHTS