Lindy.ai
AI-powered personal assistant for workflow automation
No-code AI agent platform positioning as 'AI employees' for workflow automation, NOT developer-focused RAG platform. 5,000+ integrations via Pipedream, Claude Sonnet 4.5 default, $5.1M revenue (Oct 2024), 4.9/5 G2 rating. Critical limitation: No public API or SDKs available.
Overall Rating
4.0
67 reviews
Features4.1
Ease of Use4.3
Support4.0
Value4.2
Performance4.0
Company Information
Founded
2023
Headquarters
San Francisco, CA, USA
Company Size
11-50 employees (~25 employees) employees
Funding
$50M+ total funding (led by Menlo Ventures, Battery Ventures, Coatue)
Pros
- Exceptional no-code usability: 4.9/5 G2 rating, 30-second setup vs 15-60 min with Zapier/Make
- Massive integration ecosystem: 5,000+ apps via Pipedream Connect with 2,500+ pre-built actions
- Claude Sonnet 4.5 default drives 10x customer growth - best-in-class language understanding
- Comprehensive model flexibility: Anthropic, OpenAI, Google with per-action granular selection
- Strong compliance: SOC 2 Type II, HIPAA with BAA, GDPR, PIPEDA, CCPA certified
- Multi-lingual excellence: 85+ text languages, 50+ transcription languages, 30+ voice languages (Gaia)
- Autopilot (Computer Use): Unique capability to operate any website/app without APIs
- Agent Builder simplicity: Natural language to working automation in minutes
- Societies of Lindies: Multi-agent collaboration for sophisticated workflows
- Enterprise security: RBAC, MFA, SSO, SCIM provisioning, encrypted backups, audit logs
- Strong financial validation: $5.1M revenue (Oct 2024), $50M+ funding from top VCs
- 100+ pre-built templates accelerate deployment across common use cases
Cons
- NOT a RAG-as-a-Service platform - no-code workflow automation vs developer-focused RAG capabilities
- NO public REST API - cannot manage agents, upload knowledge, or query programmatically
- NO GraphQL endpoint or official SDKs (Python, JavaScript, etc.) - blocks developer integration
- NO OpenAPI/Swagger specification or CLI tools - no developer API console/sandbox
- Opaque RAG implementation: Vector database not disclosed, no embedding model documentation, black-box retrieval
- No published RAG benchmarks: No accuracy, precision/recall, or latency metrics available
- Credit-based pricing unpredictability: Most common user complaint - costs difficult to forecast
- Knowledge base constraints: 1,500 file limit when search fuzziness <100, 20MB per-file limit
- US data residency only: No explicit EU hosting option documented (enterprise inquiries required)
- White-labeling unclear: Complete branding removal not explicitly confirmed for standard plans
- Inconsistent support: User reviews cite responsiveness issues on lower tiers (Trustpilot)
- No RAG monitoring: Cannot track retrieval precision, embedding quality, or vector similarity scores
- Minimal GitHub presence: Only 3 repos (build caching, hiring challenge, no SDKs)
- Documentation gap: User-focused tutorials, no API reference or technical architecture docs
- Log retention limits: 1 day on Free tier severely constrains troubleshooting
Best Use Cases
Business users automating workflows without developers (primary target audience)
Operations teams requiring 5,000+ integration coverage across business apps
Organizations prioritizing no-code accessibility over programmatic control
Sales/marketing automation: Lead qualification, CRM updates, email triage, outreach workflows
Customer support automation: Ticket routing, qualification, human handoff with context
Meeting management: Scheduling, transcription, action item extraction across 30+ languages
Multi-lingual deployments: 85+ text languages, 50+ transcription, 30+ voice support
Enterprise compliance needs: HIPAA healthcare workflows, GDPR European operations, SOC 2 security
Complex multi-agent workflows: Societies of Lindies for sophisticated task delegation
Website/app automation without APIs: Autopilot (Computer Use) for unsupported platforms
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