t0.ai Tech Stack

AI-powered financial operations automation for early-stage companies

Financial Services San Francisco, CA 2–10 employees Privately Held

t0.ai is a 2–10 person startup building an AI CFO product using LLM frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) and ML infrastructure (PyTorch, JAX, TensorFlow) on GCP. The tech stack reveals a company prioritizing agentic AI systems and retrieval-augmented generation (RAG) alongside full-stack web development (React, TypeScript, Vite). Hiring is concentrated in engineering (3 staff engineers) and product (2), with decelerating velocity, suggesting the team is consolidating around core AI and financial workflow automation rather than broad hiring spree.

Tech Stack 25 technologies

Core StackPython BigQuery Vite React Tailwind CSS TypeScript Cypress Playwright LangChain PyTorch TensorFlow RAG Figma Amplitude GCP Pub/Sub Cloud Run Cloud SQL AWS KMS React Testing Library LlamaIndex AutoGen CrewAI Semantic Kernel JAX

What t0.ai Is Building

◆Challenges

Financial busywork reduction
Automating tax and payroll
Rewiring broken finance infrastructure
Automating financial backend
Reducing manual bookkeeping
Manual bookkeeping and payroll
Broken financial infrastructure
Reducing manual financial operations

▲Active Projects

Intelligent finance systems backend
Ai-powered finance engine
New ai product from 0 to 1
Product-market fit for ai platform
Ai-driven user interface layer
Modular design system and component library
Automating complex multi-step financial workflows
Deploying ai agents for financial operations
Building ai flywheels for financial operations
Ai-native autonomous financial software

Hiring Activity

Decelerating6 roles · 1 in 30d

Department

Engineering

Product

Marketing

Seniority

Staff

Manager

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About t0.ai

t0.ai automates bookkeeping, payroll, tax compliance, and financial forecasting for early-stage companies through an AI CFO product. The company is built on a foundation of agentic AI systems designed to handle complex, multi-step financial workflows—moving away from manual bookkeeping and fragmented financial infrastructure toward autonomous financial operations. The engineering-heavy, staff-level org structure indicates focus on deep technical execution: building modular design systems, AI-driven UI layers, and financial engines rather than scaling go-to-market.

HeadquartersSan Francisco, CA

Company Size2–10 employees

Hiring MarketsUnited States

Frequently Asked Questions

What AI frameworks does t0.ai use?

t0.ai's stack includes LangChain, LlamaIndex, AutoGen, and CrewAI for agentic systems, alongside PyTorch, JAX, and TensorFlow for ML. The company also implements RAG (retrieval-augmented generation) and uses GCP (Pub/Sub, Cloud Run, BigQuery) for backend infrastructure.

What is t0.ai working on?

Core projects include an intelligent finance systems backend, AI-powered finance engine, agentic financial operations deployment, multi-step workflow automation, and AI-native autonomous financial software. The team is also building a modular design system and component library.