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Haast Tech Stack

AI-powered compliance monitoring and risk detection for enterprise brands

Technology, Information and Internet San Francisco 11–50 employees Privately Held
haast.io LinkedIn

Haast automates compliance scanning across digital channels using Claude, GPT, RAG, and vector search (Vespa, OpenSearch). The stack and project list reveal a company transitioning from manual legal workflows toward real-time risk detection—their stated pain point of "deep friction in legal workflows" is being addressed by LLM-powered features and an emerging AI insights platform. Hiring velocity is accelerating, with sales leading the charge (4 open roles) alongside engineering and product, indicating a sales-led growth phase targeting enterprise GTM motion and US expansion.

Tech Stack 13 technologies

Core StackSvelte Python React Vue Node.js Go FastAPI RAG HubSpot Vespa OpenSearch Claude GPT

What Haast Is Building

◆Challenges

  • Painful checkbox exercise
  • Compliance problem
  • Manual compliance review
  • Reducing compliance review times
  • Compliance challenges
  • Global expansion
  • Entering new markets
  • Deep friction in legal workflows

▲Active Projects

  • Us gtm motion
  • Thought leadership & lead gen
  • Global content and communications programs
  • Sales enablement collateral
  • Ai insights platform
  • Compliance solution platform
  • Us expansion
  • Core ai experiences
  • Llm-powered features
  • Real-time risk detection system

Hiring Activity

Accelerating10 roles · 5 in 30d

Department

Sales
4
Engineering
2
Marketing
2
Support
2
Product
1

Seniority

Senior
8
Mid
2
Manager
1
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About Haast

Haast helps enterprise businesses find and resolve brand and legal compliance issues across their digital presence. The product core is built on Python, FastAPI, and vector search, with LLM integrations (Claude, GPT) powering real-time risk detection and compliance insights. They operate across marketing compliance, legal workflows, and brand risk—domains where manual review is slow and error-prone. The company is headquartered in San Francisco with 11–50 employees and is actively hiring in the US and Australia, focused on sales and engineering roles as they push US expansion and develop AI-native compliance features.

HeadquartersSan Francisco
Company Size11–50 employees
Hiring MarketsUnited States, Australia

Frequently Asked Questions

What tech stack does Haast use?

Haast uses Python, FastAPI, React, Svelte, Node.js, and Go for the core platform. Search and retrieval are powered by Vespa and OpenSearch. LLM features integrate Claude and GPT, with RAG for context-aware detection.

What is Haast working on?

Core projects include a real-time risk detection system, LLM-powered compliance features, an AI insights platform, and sales enablement. The company is focused on US GTM motion and global expansion while addressing manual compliance review bottlenecks.

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