Baseplate vs Scribe

Baseplate is a backend-as-a-service platform built for LLM applications. Teams use its multimodal context database to store embeddings, text, documents, images, links, and code in one spreadsheet-style workspace instead of juggling separate vector and relational stores.

The platform covers the full retrieval stack: dataset sync from tools like Google Drive, S3, Box, and SharePoint, configurable semantic or hybrid search, prompt templates with version control, and deployable API endpoints. You can also ship one-click Slack, Discord, and Teams bots from the same console.

Baseplate targets engineering and product teams shipping retrieval-based LLM features, from customer support bots and internal knowledge hubs to teaching assistants and e-commerce shopping guides. It launched as a Y Combinator W23 company, though the marketing site and app currently show infrastructure and suspension issues while documentation remains online.

Scribe captures how work actually gets done and turns it into step-by-step guides your team and AI agents can follow. It records workflows as people perform them in the browser, desktop, or mobile apps, then generates documentation without manual screenshots or write-ups. Teams use it for SOPs, training, onboarding, and feeding workflow context to AI tools.

Where most documentation tools expect you to write guides from memory or schedule walkthroughs, Scribe watches real workflows and documents them automatically. Capture surfaces the processes teams run most often and turns them into shareable guides, while Optimize maps inefficiencies across approved apps and recommends where to automate or invest in AI.

Operations, IT, HR, and enablement teams rely on Scribe to share tribal knowledge before someone goes on PTO. Companies rolling out new software or building AI agent roadmaps use it to give bots accurate workflow context through MCP and enterprise search APIs.