Two Dots Tech Stack

AI underwriting agent for automated loan approvals and fraud detection

Software Development San Francisco, CA 51–200 employees Founded 2021 Privately Held

Two Dots builds Eve, a conversational AI agent for loan underwriting that handles fraud detection, income verification, and document collection — tasks that traditionally require manual review. The stack (TypeScript/React frontend, Python/PyTorch backend, PostgreSQL + BigQuery for underwriting data) reflects a product-focused team moving fast on LLM-powered workflows. Active projects span document automation, financial profiling, and risk modeling, while pain points cluster around fraud detection at scale and surfacing value in atypical applications — the exact edge cases Eve is designed to resolve.

Tech Stack 17 technologies

Core StackTypeScript React Node.js Python PostgreSQL BigQuery Redis PyTorch Tableau Looker Metabase QuickBooks GCP LinkedIn SQL Excel Claude

What Two Dots Is Building

◆Challenges

Preventing fraud
Surface value in atypical applications
Automating document collection
Improving consistency of financial profiles
Increasing application approval automation
Increasing fraud detection capabilities
Fraud detection in underwriting
Value extraction from atypical applications
Prevent fraud humans can't see
Help applicants document complex financial situations

▲Active Projects

Conversational interface for document collection
Automation of document collection process
Financial profile system
Ai-driven underwriting solutions
Customer journey optimization
Underwriting data analysis
A/b testing and feature impact measurement
Risk model improvement
Financial analysis
Budgeting

Hiring Activity

Decelerating7 roles · 1 in 30d

Department

Sales

Engineering

Data

Finance

Seniority

Mid

Senior

Junior

Manager

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About Two Dots

Two Dots operates an AI underwriting platform targeting loan originators and financial institutions. The product, Eve, is a conversational agent that guides applicants through underwriting by collecting documents, verifying income, and flagging fraud — delivering real-time approval decisions and reducing manual handoff. The company is based in San Francisco and currently operates at 51–200 employees with recent hiring focused on sales and data roles, though recruitment velocity is decelerating. The tech foundation spans TypeScript/React for UX, Python/PyTorch for inference, and PostgreSQL + BigQuery for data storage and analytics.

HeadquartersSan Francisco, CA

Company Size51–200 employees

Founded2021

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Two Dots use?

Two Dots builds on TypeScript, React, and Node.js for frontend; Python and PyTorch for ML; PostgreSQL and BigQuery for data; and GCP for infrastructure. They also integrate LinkedIn APIs and use Tableau, Looker, and Metabase for analytics.

What is Two Dots working on?

Active projects include conversational document collection, financial profile systems, AI-driven underwriting automation, customer journey optimization, A/B testing, risk model improvement, and underwriting data analysis.