Unstructured Tech Stack

Unstructured data extraction and transformation for AI applications

Software Development San Francisco, CA 51–200 employees Founded 2022 Privately Held

Unstructured builds infrastructure to convert documents and unstructured data into AI-ready JSON at scale. The stack is cloud-native (AWS, GCP, Azure, Kubernetes, PostgreSQL) with heavy emphasis on RAG and LLM integration—reflecting a company architected around AI consumption patterns rather than traditional analytics. Project list shows ambition across federal pipelines, distributed systems, and agency compliance, while the senior-heavy, engineering-focused hiring mix (7 of 15 roles) indicates they're staffing for infrastructure complexity rather than sales-led growth.

Tech Stack 19 technologies

Core StackAWS Kubernetes Python PostgreSQL RAG Active Directory Gong HubSpot GCP Azure OAuth 2.0 OIDC SAML JWT LDAP SCIM IAM Apollo LinkedIn Sales Navigator

What Unstructured Is Building

◆Challenges

Processing unstructured data for llm
Data orchestration at scale
Secure data flow optimization
Public sector compliance
Adopting ai-ready data pipelines
Scaling distributed systems for unstructured data
Ensuring performance and resilience for ai workloads
Implementing ai workflows at scale
File parsing and etl challenges
Expanding adoption in sled market

▲Active Projects

Federal data pipelines
Ai-first infrastructure
Architecting unstructured data transformation platform
Building distributed systems for massive data volumes
Optimizing postgres schemas for metadata retrieval
Complex deployment of unstructured platform across hybrid infrastructure
Demo and prototype development for ai-ready data pipelines
Expand footprint in sled market
Deliver tailored solutions for agency compliance
Design scalable solutions leveraging kubernetes

Hiring Activity

Accelerating15 roles · 10 in 30d

Department

Engineering

Sales

Marketing

Data

Ops

Seniority

Senior

Mid

Staff

Principal

Company intelligence

Find more companies like Unstructured by tech stack, pain points and active projects

Get started free

About Unstructured

Unstructured extracts and transforms unstructured data—documents, PDFs, images, research reports—into structured, AI-friendly formats for enterprise customers. The platform captures data across cloud storage, on-premises systems, and hybrid infrastructure, then normalizes it into JSON suitable for LLM ingestion and RAG workflows. Founded in 2022 and based in San Francisco, the company is hiring primarily in the US across engineering, sales, and marketing. Active projects span federal data pipelines, Kubernetes-based deployments, and tailored solutions for public-sector compliance and regulated industries.

HeadquartersSan Francisco, CA

Company Size51–200 employees

Founded2022

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Unstructured use?

AWS, GCP, Azure, Kubernetes, Python, PostgreSQL, RAG, and OAuth/SAML/LDAP for identity. Also uses Apollo, LinkedIn Sales Navigator, Gong, and HubSpot for go-to-market.

What is Unstructured working on?

Federal data pipelines, AI-first infrastructure, distributed systems for large data volumes, Kubernetes deployments, and tailored compliance solutions for public-sector and agency customers.