Free
$0Free plan available.
Introduction:
Tettra is an AI-driven knowledge management platform designed to help teams organize company information into a centralized knowledge base. It features an AI bot that provides instant answers to repetitive questions directly within Slack and uses automation to ensure documentation remains accurate and well-organized.
Monthly Visitors:
35.2K
Social & Email:
YouTube
Tettra Product Information
What is Tettra?
Tettra is an AI-powered knowledge management system that helps teams curate company information into a knowledge base, instantly answer questions in Slack with an AI-powered bot, and keep knowledge up-to-date and organized with automation. It serves as an internal knowledge base and knowledge management software, providing instant answers to repetitive questions.
How to use Tettra?
Build your knowledge base by creating new documentation using Tettra's editor or by importing existing files from Google Docs, Notion, and local storage. Once set up, team members can ask questions directly in Tettra or Slack, and the AI bot will search your documentation to provide immediate answers.
Tettra's Core Features
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AI-powered knowledge base
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Slack integration for Q&A
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Knowledge automation
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Internal Q&A system
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Content verification and suggestions
Tettra Use Cases
#1
Eliminate workflow bottlenecks and save time spent on repetitive questions
#2
Ensure representatives provide fast and accurate responses to customer inquiries
#3
Deliver high-quality, consistent service to every client
FAQ from Tettra
How does per-user pricing work in Tettra? +
A “user” is defined as an account you invite that has accepted the invitation. Deactivated users are not counted toward your license total, and your Slack user count does not impact your Tettra billing.
What happens after my free trial for Scaling or Basic plans ends? +
Once your free trial expires, you will be prompted to provide a credit card to continue using Tettra.
Do you offer discounts? +
Yes, we offer standard discounts. You can receive two months free by paying annually, and additional savings are available through our customer testimonial program. Please contact our sales team for more details.
How do I determine which plan is right for my team? +
You can schedule a consultation with a Tettra expert to help you identify the best plan for your team's needs.
What languages does Tettra support? +
Tettra supports content in any language; however, the application interface is currently available in English only.
How does Tettra handle security and compliance? +
We maintain data security through regular backups, encryption in transit and at rest, a PCI Service Provider Level 1 payment processor, and professional-grade web hosting. You can learn more by reviewing our Security Overview.
Can I export my content? +
Yes, you can export your Tettra content in HTML format at any time via the app settings. We believe in data portability, so you are free to leave at any time. More information on exporting your content is available in our documentation.
Tettra Pricing
Related Model Comparison Pages
Use these comparison pages to understand the trade-offs between the models most relevant to Tettra.
Compare Gemini 1.0 Pro Deprecated and Gemini 1.5 Flash Vision Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus general-purpose AI workloads.
Compare Gemini 1.5 Pro Vision Deprecated and Gemini 1.0 Pro Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for general-purpose AI workloads versus long-context workloads.
Compare Gemini 1.0 Pro Vision Deprecated and Gemini 1.5 Flash Vision Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for general-purpose AI workloads versus general-purpose AI workloads.
Compare Gemini 1.5 Pro Vision Deprecated and Gemini 1.0 Pro Vision Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for general-purpose AI workloads versus general-purpose AI workloads.
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