Company profile

Reducto Tech Stack

Document parsing and extraction platform for AI teams' unstructured data

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

Reducto turns complex PDFs and unstructured documents into model-ready data through an API, mixing in-house models with OpenAI and Anthropic. Its adopting list (CUDA, Triton, vLLM, SGLang, TensorRT-LLM, PyTorch, Ray) points to building its own inference and training stack rather than relying only on frontier APIs. Accelerating, senior-weighted hiring splits between engineering and sales, signaling a push to formalize enterprise GTM.

Tech Stack 43 technologies

Core StackAWS Ashby Greenhouse Python Kubernetes Slack TypeScript CloudFront Salesforce Google Analytics React Next.js Tailwind CSS Flask After Effects Adobe Premiere Pro OpenAI Anthropic LinkedIn Recruiter Streamlit PostHog Convex Tinybird Lottie Google Search Console Google Analytics 4 Ahrefs SEMrush Azure GCP

AdoptingPyTorch Streamlit CUDA Triton vLLM SGLang TensorRT-LLM Ray

What Reducto Is BuildingChallenges and projects from their job posts

◆Challenges

Extracting data from complex, unstructured PDFs
Meeting complex enterprise deployment constraints
Establishing hyperscaler partnerships
Aligning a nascent GTM function with engineering
Capitalizing on early market momentum

▲Active Projects

Building in-house inference and training stack
Reducto Studio product build
LLM integration for document extraction
Scaling document processing pipelines
Form filling and translations feature
Enterprise sales playbook and customer success function

Hiring Activity

Accelerating45 roles · 15 in 30d

Department

Engineering

Sales

Marketing

Product

Support

Design

Partnerships

Seniority

Senior

Mid

Lead

Manager

Junior

Notable leadership hires: Ecosystem Lead

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About Reducto

Reducto is a San Francisco-based, privately held company with 51–200 employees that builds a document processing platform for AI teams. Its tools cover document parsing, OCR, extraction and data preparation for LLM workflows, delivered via API. Customers range from startups to very large enterprises across legal, finance, healthcare and other sectors. Deployment options span cloud to fully air-gapped environments, with SOC 2 and HIPAA compliance and zero data retention. Infrastructure runs across AWS, Azure and GCP with Kubernetes and Python.

HeadquartersSan Francisco, CA

Company Size51–200 employees

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Reducto use?

Reducto runs on Python, TypeScript, React, Next.js and Kubernetes across AWS, Azure and GCP, uses OpenAI and Anthropic models, and is adopting PyTorch, vLLM, SGLang, Triton, TensorRT-LLM and Ray.

Is Reducto hiring engineers?

Yes. Engineering is Reducto's largest hiring area, followed closely by sales and marketing, with hiring accelerating and focused on senior roles in the United States.

What is Reducto working on?

Current initiatives include Reducto Studio, a form filling and translations feature, LLM-based document extraction, scaling document processing pipelines, and building an in-house inference and training stack.

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How this profile is built

Reducto'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.