APARAVI Tech Stack

Unstructured data platform for AI prep, compliance, and IT operations

Software Development Cham, Zug 51–200 employees Founded 2018 Privately Held

Aparavi indexes and classifies unstructured data across on-prem and cloud storage to support AI projects, compliance discovery, and data cleanup. The tech stack—Node.js, Python, React, with heavy adoption of LLM orchestration tools (Langflow, LangGraph, AutoGen, CrewAI) and RAG—reveals a company building AI-native data preparation workflows. Hiring is skewed toward engineering and senior roles, with active projects centered on low-code pipeline builders and enterprise POV delivery, suggesting Aparavi is scaling toward platform-first adoption while maintaining custom implementation capacity.

Tech Stack 21 technologies

Core StackNode.js Python React n8n C++ RAG JavaScript Canva HubSpot Google Ads Google Analytics AWS Linux Langflow LangGraph AutoGen CrewAI Discord Azure GCP Windows

What APARAVI Is Building

◆Challenges

Drowning in unstructured data
Scaling backend services
Grow daily active users
Foster long-term retention
Ignite viral adoption
Unstructured data management
Data control
Ai readiness
Data governance
Cost and risk

▲Active Projects

Low-code/no-code visual data pipeline builder
User and payment services expansion
Data prep for ai products
Sample apps and sdk tutorials
Community engagement events
Technical content creation
Digital marketing campaigns
Content development for website and blog
Install and configure aparavi platform in complex enterprise environments
Run povs end-to-end

Hiring Activity

Decelerating8 roles · 2 in 30d

Department

Engineering

Marketing

Seniority

Senior

Intern

Manager

Mid

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About APARAVI

Aparavi is a Swiss-founded data intelligence platform (51–200 employees, headquartered in Cham, Zug) that helps mid-market and enterprise organizations gain visibility and control over unstructured data stored across distributed environments. The product serves three primary use cases: preparing data for generative AI and RAG workflows, accelerating legal discovery and compliance workflows, and identifying and remediating dark data to reduce storage costs and risk. Aparavi integrates with Relativity for legal teams and runs on AWS, Azure, and GCP. The company operates with a mix of direct sales (POV-driven) and self-serve or low-code product adoption, supported by active community and technical content initiatives.

HeadquartersCham, Zug

Company Size51–200 employees

Founded2018

Hiring MarketsUnited States, Germany

Frequently Asked Questions

What tech stack does Aparavi use?

Aparavi's stack includes Node.js, Python, React (frontend), with LLM/orchestration tools: Langflow, LangGraph, AutoGen, CrewAI, and RAG. Deployed on AWS, Azure, GCP with Linux and Windows support.

What is Aparavi working on?

Active projects include a low-code visual pipeline builder, data prep for AI/RAG products, sample apps and SDKs, community events, enterprise POV delivery, and platform install/configuration in complex environments.