Zetheta Algorithms Private Limited Tech Stack

Gamified financial market simulations and AI-powered career bridge for finance students

Technology, Information and Internet Mumbai 51–200 employees Founded 2024 Privately Held

Zetheta Algorithms operates a dual-platform model: gamified financial simulations for students and a WorkBridge matching system powered by agentic AI to connect learners with employers. The tech stack spans full-stack web (React, Vue, Angular, Node.js, Django, Flask) plus cloud infrastructure (AWS, GCP, Azure, Kubernetes), with recent adoption of Vault and Falco signaling infrastructure hardening—critical for a fintech handling compliance-sensitive student data. All 11 active hires are intern-track roles, indicating aggressive content creation and platform scaling rather than team consolidation.

Tech Stack 39 technologies

Core StackPHP React Tailwind CSS Vue Angular Bootstrap Node.js Express.js Firebase Supabase PostgreSQL Django Flask Ruby on Rails Spring Laravel JavaScript Python Ruby AWS Docker Kubernetes Canva Figma Material-UI MongoDB Atlas SQLite Axios GCP Azure+7 more

AdoptingVault Falco

What Zetheta Algorithms Private Limited Is Building

◆Challenges

Reducing infrastructure costs
Implementing multi-region disaster recovery
Ensuring pci-dss compliance

▲Active Projects

Online platform development
Ai features integration
Capstone project
Fixed income analysis and valuation
Risk and portfolio management
Credit research and risk analysis
Blockchain-based certificate verification system
Financial statement analysis
Audit preparation
Taxation

Hiring Activity

Accelerating10 roles · 10 in 30d

Department

Engineering

Finance

Data

Design

Marketing

Seniority

Intern

Company intelligence

Find more companies like Zetheta Algorithms Private Limited by tech stack, pain points and active projects

Get started free

About Zetheta Algorithms Private Limited

Zetheta Algorithms is a fintech startup headquartered in Mumbai, founded in 2024, serving students and early-career professionals through over 200 gamified financial simulations. The core offering combines experiential learning (fixed income analysis, portfolio management, credit research, financial statement analysis) with employer connectivity via AI-driven project assessments. The company is also developing a financial-domain small language model and curating finance-focused published content. Active projects span platform infrastructure (online platform development, blockchain-based certificate verification), AI integration, and domain-specific modules (risk management, taxation, audit preparation). The organization operates at 51–200 employees and is hiring across India and the United States.

HeadquartersMumbai

Company Size51–200 employees

Founded2024

Hiring MarketsIndia, United States

Frequently Asked Questions

What tech stack does Zetheta Algorithms use?

Frontend: React, Vue, Angular, Tailwind CSS, Bootstrap, Material-UI. Backend: Node.js, Express.js, Django, Flask, Spring, Laravel. Data: PostgreSQL, MongoDB Atlas, SQLite. Cloud: AWS, GCP, Azure, Docker, Kubernetes. Recently adopting Vault and Falco for security and compliance.

What is Zetheta Algorithms working on?

200+ gamified financial simulations covering fixed income, portfolio management, credit research, and taxation. Current projects include online platform development, AI feature integration, blockchain certificate verification, and a domain-specific small language model for finance.

Similar Companies in Technology, Information and Internet

Other companies in the same industry, closest in size

Fluidstack

Technology, Information and Internet

How this profile is built

Zetheta Algorithms Private Limited's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.