Arithmiks
Product · BI PlatformQuanta

Your database, answering in plain English

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

Visit Quanta Explore features
Quanta dashboard: charts and tables built from plain-English questions
  • Python
  • FastAPI
  • PostgreSQL
  • React
  • TypeScript
  • OpenAI
  • Anthropic
  • Docker
Overview

What is Quanta?

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.

Quanta schema view: connected tables and their relationships
Built for trust

Safe enough to run on production data

Quanta connects to live databases, so every design decision starts from one rule: answering questions must never put the data at risk.

Read-only by design

Every AI-written query is parsed and checked before it runs, then executed inside a read-only transaction. Quanta answers questions; it never changes your data.

Private databases stay private

Connect databases on a private subnet through an SSH bastion, with strict per-connection policies. Nothing has to be opened to the internet.

AI cost that stays predictable

A compact schema representation keeps every prompt small, cutting AI planning cost by around 60% with no change to what users see.

The flow

What happens behind every answer

A plain-English question passes through planning, generation and two independent safety checks before a single row is read.

Your workspaceConnect your databasePostgreSQLMySQLDirectSSH bastionOwner & member rolesAI credit limits per org
Your schemaCompact serialiser
AskWorkspace
Plain-English questionAnyone in the org, no SQL needed
Compact schema planningLLM cost tracks usage, not database size
Clarifying questionAsked when a reference is ambiguous
Model providersOpenAIAnthropicGeminiGrok
GenerateAI
SQL written by the modelUsing the provider your org chooses
AST validationsqlglot rejects any mutation, even inside CTEs and subqueries
Self-repairA failing query is fixed and retried automatically
Executes onPostgreSQLMySQL
RunYour database
READ ONLY transactionA second guard, so a parser bug alone can't open a write path
Private networks via SSHBastion held to a strict public-host policy
Credentials encryptedAES-256-GCM at rest, never sent to the browser
Results + suggested chartPin it, or let AI
generate the widgetsLive dashboardPublic linkImage / PDF
HIGHLIGHTS

Key Features

1. Conversational Query Assistant:

Ask in plain English, get validated SQL, results, and a suggested chart with one click to pin it to a dashboard.

1. Conversational Query Assistant
More from Arithmiks

Keep exploring

View all case studies
Contract review you can check line by lineClauseLensAIContract review you can check line by lineAI contract review that flags risks and extracts key terms in about a minute, with every finding traced to its source sentence.Read case study AI-Powered Marketing Automation PlatformGOMachine LearningAI-Powered Marketing Automation PlatformAn AI-powered platform that automates digital marketing—handling content, publishing, and ads to help agencies grow.Read case study

This project drew on our AI & Data Solutions service.

Describe your idea

Tell us what you're building. We'll read it before the call, so the 30 minutes go on your problem rather than introductions.

My role (optional)
Optional · PDF, DOC, DOCX or PPT, up to 10 MB
Recognition
Upwork Top Rated PlusUpworkRank — #146 in Web Development, top 0.87%
Office
Lahore, Pakistan
Omer and his team put in significant effort and delivered many positive contributions.
Louis-AntoineCTO at GO, Founder at Web2 Web3