R
Reducto Tech Stack
API for converting PDFs, images, and spreadsheets into structured data
Reducto builds a document-parsing API combining OCR and vision-language models to extract structured data from unstructured sources. The stack (Python, Kubernetes, AWS) reflects infrastructure-heavy engineering, while active adoption of Streamlit signals investment in internal tooling and diagnostics—consistent with their pipeline scaling and deployment reliability projects. Hiring skews engineering and marketing, with leadership gaps in Go-To-Market execution.
Tech Stack 23 technologies
Core StackAWS Python Kubernetes Ashby Greenhouse TypeScript React Next.js Tailwind CSS Slack Flask Bash LinkedIn Recruiter Convex Streamlit SQL Tinybird
AdoptingStreamlit
What Reducto Is Building
◆Challenges
- Unstructured data bottleneck
- Unstructured enterprise data
- Unstructured documents locked in pdfs and spreadsheets
- Early momentum capitalization
- Scaling document processing pipelines
- Operating inefficiencies
- Attracting world-class talent
- Wasted hours due to unstructured data
- Gtm function acceleration
- Complex enterprise constraints
▲Active Projects
- Durable support processes
- Pipeline building
- Reducto studio
- Llm integration for document extraction
- Document processing pipeline scaling
- Team culture building
- Deploying and maintaining on-prem and vpc instances
- Building tooling to make deployments faster, more reliable, and easier to debug
- Creating diagnostics, dashboards, and eval harnesses
- Recruiting infrastructure development
Hiring Activity
Steady25 roles · 9 in 30d
Department
Seniority
Notable leadership hires: Chief of Staff, Head of Marketing
Company intelligence
