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Cortea Tech Stack

AI-powered audit automation for regulatory compliance

Software Development Berlin 11–50 employees Founded 2024 Privately Held

Cortea automates audit workflows using retrieval systems, data pipelines, and AI agents built on React, TypeScript, Python, and Temporal. The stack reveals a product designed around document ingestion and ranking (Elasticsearch, BigQuery, Spark, Ray) — addressing the core pain point of manual, document-heavy audits. A distributed engineering team with three lead-level roles and concurrent hiring in design and ops suggests a young company scaling product-market fit rather than still-searching.

Tech Stack 15 technologies

What Cortea Is Building

Challenges

  • Document-heavy audits waste time
  • Manual audit processes
  • Manual audits of unstructured data
  • High cost manual audits
  • Reducing bias in hiring
  • Protecting culture
  • High labor hours
  • Audits driven by spreadsheets
  • Manual reviews
  • High hours on manual work

Active Projects

  • Retrieval and ranking systems for ai agents
  • Data pipelines for ingestion, enrichment, classification
  • Ai-era pricing model
  • Audit flow product experience
  • Architecture tooling improvement
  • Audit flow design
  • Component library development
  • Usability testing and feedback loops
  • Design fair fast hiring process
  • Build employer branding for engineers/ai

Hiring Activity

Decelerating10 roles · 2 in 30d

Department

Engineering
3
Ops
2
Data
1
Design
1
HR
1
Marketing
1

Seniority

Lead
3
Senior
3
Mid
2
Manager
1

Notable leadership hires: Design Lead, Chief of Staff

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About Cortea

Cortea builds AI automation software for audit workflows, targeting teams that currently rely on manual processes and spreadsheet-driven reviews. The product surfaces retrieval-and-ranking systems to handle unstructured audit data, paired with data pipelines for ingestion and classification. Founded in 2024 and headquartered in Berlin, the company operates a 11–50-person team with engineering-forward architecture. Active projects span both product (audit flow experience, pricing models) and technical foundation (component libraries, architecture tooling), indicating movement from MVP toward scalable platform.

HeadquartersBerlin
Company Size11–50 employees
Founded2024
Hiring MarketsGermany

Frequently Asked Questions

What tech stack does Cortea use?

Frontend: React, TypeScript. Backend: Python, PostgreSQL, Temporal. Data layer: Elasticsearch, BigQuery, Snowflake, Apache Spark, Ray. Design: Figma.

What is Cortea working on?

Core projects: retrieval and ranking systems for AI agents, audit flow product experience, data pipelines for ingestion and classification. Infrastructure: architecture tooling, component libraries, and employer branding for engineers.

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