Tettra

Tettra is an AI internal knowledge base for teams that need one reliable place to document company information, answer recurring questions, and keep critical knowledge accurate over time. Tettra is built for growing companies where answers are often scattered across Slack threads, old documents, onboarding notes, and individual memory. Its main value is not just storing pages, but turning internal knowledge into something people can find, trust, and reuse. Instead of treating documentation as a passive wiki, the platform combines structured knowledge base search, internal Q&A, and AI-assisted answers in the flow of work. Teams can create and organize pages for policies, processes, product details, customer support guidance, and operational playbooks. When people ask repeat questions, the tool helps capture the answer so the same knowledge does not disappear into chat again. For employees, the most visible experience is fast internal search and AI answers through Slack. Kai, Tettra’s AI assistant, can respond to questions using the team’s documented knowledge, which makes it easier for people to get help without interrupting subject-matter experts. Tettra is especially useful for teams that already rely heavily on Slack and want company knowledge to be accessible where questions naturally happen. Knowledge owners get workflows for keeping information current, which is one of the hardest parts of running an internal knowledge base. Pages can have owners, verification cycles, and prompts to review content before it becomes stale. This gives the platform a more operational character than a simple document repository, because it supports the ongoing discipline of knowledge management rather than only the initial act of writing things down. Compared with a general wiki or shared drive, Tettra is best at connecting documentation with the questions people actually ask at work. It is designed around the everyday loop of ask, answer, document, verify, and search again. That makes it a strong fit for customer support teams, operations teams, people teams, engineering organizations, and remote or hybrid companies that need reliable institutional memory. Teams evaluating Tettra alternatives will usually compare it with broader collaboration suites, traditional wiki tools, AI search products, or helpdesk-style internal Q&A systems. The difference is that Tettra focuses narrowly on company knowledge that must be findable and maintained, rather than trying to become an all-purpose workspace. A practical Tettra review should look at how well it reduces repeated questions, improves onboarding, and helps experts keep answers accurate without creating a heavy documentation burden. In practice, the tool works best when a company wants a shared source of truth but also recognizes that knowledge lives in conversations. Tettra brings those two realities together by letting teams document important information, answer new questions, and surface trusted responses through AI. As with any internal knowledge platform, buyers should assess Tettra pricing in relation to team size, Slack usage, and the cost of time lost to repeated questions or outdated information.