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Speak AI vs KeepPlain

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Speak AI compared with KeepPlain
DetailSpeak AI logo Speak AIKeepPlain logo KeepPlain
What it doesConversation intelligence platform that transcribes, analyzes, and scores calls, meetings, and interviews in 100+ languages Memory, rules and git blame for your coding agents
StageEstablished Startup
Founded2018 Not given
Based inCA DE
Pricing modelFreemium Freemium
PricingFree 7-day trial. Pay as you go: 1 credit = US$1 (2 credits/hour standard transcription, 3 credits/hour premium languages, 4 credits/hour meeting transcription, 12 credits per 100K characters translation). Pro: US$25 per user per month billed monthly or US$20 per user per month billed annually (US$2 Free for personal use with all features; Team plan $20 per active seat per month, billed yearly (minimum 3 seats). First 10 teams pay $10 per active seat for 12 months.
Key features
  • Transcription in 100+ languages with speaker identification
  • Call and meeting scoring against custom methodology
  • Voice and tone analysis
  • Video and body language analysis
  • Multi-model AI chat (Claude, Gemini, GPT)
  • AI meeting notetaker for Zoom, Teams, Google Meet
  • White-label coaching and branded platforms
  • Voice, phone, and video AI agents
  • Integration with 5,000+ tools via Zapier and API
  • MCP server for Claude, ChatGPT, Cursor
  • Session storage with secret redaction on local machine before upload
  • Git blame integration showing which agent session wrote each code line
  • Memory across agents allowing pickup of previous work
  • Handoff between agents when Claude hits token limits
  • Rules from corrections that persist across all agent sessions
  • Session condensing showing only key moments and code
  • Team rules reviewed like pull requests before reaching agents
  • Team memory persisting when members leave
  • Session attribution on pull requests showing which commits came from sessions
  • MCP server for agents to search and learn from shared sessions
What makes it different
  • Multi-model AI that routes to the best model for each task
  • White-label and deployable on your own domain
  • One system of record for all conversations with unified capture
  • Real sessions only, no fabricated runs, showing actual agent failures and interventions
  • Secrets redacted on your machine before any data leaves, with server-side verification
  • Open source MIT plugin with full control over your data
  • Works with five different coding agents from one plugin
  • Team data stays on your own PostgreSQL server if you choose
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)58 +1 (up) since last check10 no change since last check
Trust Flow (Majestic)122
Citation Flow (Majestic)3335
Referring domains (Majestic)102510

7 details filled in for both companies.

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