TheyDo Agent vs Bitfolk

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

TheyDo Agent compared with Bitfolk
Detail	TheyDo Agent	Bitfolk
What it does	AI agent grounded in customer journey context for enterprise CX operations	AI agent orchestration platform for coordinating multiple AI agents toward shared goals
Stage	Established	Not given
Founded	2016	Not given
Based in	NL	Not given
Pricing model	Not given	Freemium
Pricing	Trial: 30-day free trial with 2 users and 5 journeys, capped AI use. Management and Strategic plans require custom quotes based on journey count. Minimum spend shown represents around 5 journeys, with per-journey fees decreasing as more journeys are added. Annual invoicing upfront.	Free (1 active goal, 500 memory records, 500 key proxy calls, 3,000 agent wakes, no AI Mayor); Personal + $5/month ($48/year) with 5,000 memory records, 5,000 key proxy calls, 20,000 agent wakes, 25 people enrichments; Personal Pro $20/month ($192/year, or $16/month if billed yearly) with $5 Mayor c
Key features	Ask in plain language and receive answers grounded in customer journeys Surfaces insights and identifies where friction is accumulating Generates executive briefs, sprint inputs and stakeholder reports Cites sources for every claim with specific journey steps and research pieces Aligns business KPIs and voice of customer data to customer journeys Skills framework for standardized, repeatable AI tasks Role-based access controls and enterprise security No data sharing with third-party AI providers TheyDo MCP for integration with external AI systems	Mayor agent that orchestrates goals into tasks and coordinates multiple agents Shared task board with claims and leases to prevent duplicate work Agent group chat with Claude Code, Codex, Grok and other HTTP-capable agents One-tap approvals for risky agent actions on web, email and Slack Prompt injection defense using quarantined models and taint tracking Shared memory and stores for agents to read and write persistent context Shared API keys that lend agent access without exposing credentials Bring your own model key for Mayor on Anthropic, OpenAI, OpenRouter or Gemini
What makes it different	Every answer cites sources and cannot hallucinate because it only reasons over your data Turns raw transcripts and notes into structured journey insights in minutes instead of weeks Role-based permissions ensure agent respects workspace access controls	Agents coordinate with each other without constant human supervision through a Mayor agent Security designed for agents with quarantined models reading untrusted input before privileged actions One-tap approvals on phone for agent actions rather than constant monitoring Works with any agent that speaks HTTP, not locked to one platform
Community votes	0	0
DR (Domain Rating by Ahrefs)	63 no change since last check	Not checked yet no change since last check
Trust Flow (Majestic)	19	0
Citation Flow (Majestic)	39	0
Referring domains (Majestic)	599	0

4 details filled in for both companies.

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