Luru vs People.ai (Backstory)
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Luru if you want revenue workspace for crm hygiene, sales playbooks, and slack workflows (Copilot, freemium); choose People.ai (Backstory) if you want revenue intelligence that captures activity and answers pipeline questions (Copilot, subscription).
| Luru | People.ai (Backstory) | |
|---|---|---|
| What it is | Revenue workspace for CRM hygiene, sales playbooks, and Slack workflows | Revenue intelligence that captures activity and answers pipeline questions |
| Type | product-with-agents | platform |
| Autonomy | Copilot | Copilot |
| Pricing | freemium | subscription |
| Best for | smb, mid-market | enterprise, mid-market |
| Deployment | saas | saas, api |
| Modalities | text, api | text, api |
| Models | model-agnostic | model-agnostic, proprietary |
| Protocols | rest-api | mcp, rest-api |
| Integrations | Salesforce, HubSpot, Pipedrive, Slack, Microsoft Teams, Zoom | Salesforce, Microsoft 365, Oracle, Zoom, Slack, Webex |
| Capabilities | 4 documented | 4 documented |
Luru
- +Fast CRM updates from anywhere via a browser sidekick, reducing busywork
- +Meeting playbooks and methodology enforcement keep the sales process consistent
- +No-code Slack workflows for pipeline alerts
- -Copilot/workflow tool, not an autonomous agent or a conversation-intelligence engine
- -Lighter on generative AI than call-analysis competitors
People.ai (Backstory)
- +Automatic activity capture genuinely cuts manual CRM entry
- +Mature, decade-long data foundation underpins forecasting and the "answers" pitch
- +Open MCP architecture works with existing AI tools rather than a walled garden
- -Reviewers report limited dashboard customization and non-intuitive UX
- -Capture from some channels (LinkedIn, Slack) can be incomplete and call data can lag
Which should you choose?
Luru is revenue workspace for crm hygiene, sales playbooks, and slack workflows, best for smb, mid-market. People.ai (Backstory) is revenue intelligence that captures activity and answers pipeline questions, best for enterprise, mid-market. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.