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TeamTeacher provides AI-driven tools designed to enhance the teaching experience and support educators in their daily tasks.

8sub-processors
HeadquartersN/A, United States
Founded2023
Size1-50
MarketB2C
PublicPrivate
ProductsAI connectors, Searchable knowledge base, Document management system, Curriculum-aware AI, Collaboration tools
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By Category

Uncategorized3
Cloud Infrastructure3
AI & Machine Learning1
Analytics & Monitoring1

All Sub-Processors

NameCategory
Anthropic
Google
LangfuseAI & Machine Learning
OpenAI
PosthogAnalytics & Monitoring
QdrantCloud Infrastructure
SupabaseCloud Infrastructure
VercelCloud Infrastructure

Data Processing Locations

Not specified
3 sub-processors
EU region data centers
1 sub-processor
US data centers
1 sub-processor
Cloud-hosted vector database services
1 sub-processor
EU data centers
1 sub-processor
Global edge network with EU primary regions
1 sub-processor

Frequently Asked Questions

How many sub-processors does TeamTeacher.ai use?
TeamTeacher.ai uses 8 sub-processors (third-party data processors) as disclosed on their public sub-processor page.
What are TeamTeacher.ai's main sub-processors?
TeamTeacher.ai's sub-processors include Anthropic (Advanced language models with reasoning capabilities and safety features), Google (Efficient language models for quick responses and content generation), Langfuse (LLM monitoring, governance, and quality assurance), OpenAI (Versatile language models for content generation and conversation assistance), Posthog (Product analytics and user experience monitoring), and 3 more.
Where does TeamTeacher.ai process data?
TeamTeacher.ai's sub-processors are located in Not specified, EU region data centers, US data centers, Cloud-hosted vector database services, EU data centers, Global edge network with EU primary regions.