TypeOrb
An AI content engine that turns a company's internal knowledge into a multi-voice social media presence for B2B teams.
The people with the best insights write the least
Engineers, product leads and sales reps hold a company's most valuable knowledge, but writing isn't their job. Marketing teams end up producing volume instead of insight, and generic AI writers make every post sound the same.
A content pipeline with a memory
TypeOrb ingests recordings, documents, changelogs and brand guidelines into a searchable company memory, then plans, drafts and adapts posts for several voices at once.
- A company memory built from calls, changelogs, launch notes and voice samples
- Narrative planning that maps market gaps onto a quarterly content calendar
- A human approval queue: a person judges every post before it's published
Five stages and a human judge
Every post moves through five stages: ingest, plan, draft, create and judge. AI handles the first four and a person handles the last. Drafts are checked against the source material so claims stay grounded, and each author's voice is learned from their own writing samples.
Where it stands
- stages from company memory to published post
- 5
- founder, engineer and sales posts from one memory
- Multi-voice
- invite-only, onboarding B2B teams hands-on
- Beta
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