Azumo vs Lindy.ai

Make an informed decision with our comprehensive comparison. Discover which RAG solution perfectly fits your needs.

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Priyansh Khodiyar's avatar
Priyansh KhodiyarDevRel at CustomGPT.ai

Fact checked and reviewed by Bill Cava

Published: 01.04.2025Updated: 25.04.2025

In this comprehensive guide, we compare Azumo and Lindy.ai across various parameters including features, pricing, performance, and customer support to help you make the best decision for your business needs.

Overview

When choosing between Azumo and Lindy.ai, understanding their unique strengths and architectural differences is crucial for making an informed decision. Both platforms serve the RAG (Retrieval-Augmented Generation) space but cater to different use cases and organizational needs.

Quick Decision Guide

  • Choose Azumo if: you value highly skilled nearshore developers in same timezone
  • Choose Lindy.ai if: you value exceptional no-code usability: 4.9/5 g2 rating, 30-second setup vs 15-60 min with zapier/make

About Azumo

Azumo Landing Page Screenshot

Azumo is top-rated nearshore ai development services for custom solutions. Azumo is a leading nearshore software development company specializing in custom AI and machine learning solutions, offering dedicated teams and enterprise-grade development services for businesses looking to build intelligent applications. Founded in 2016, headquartered in San Francisco, CA, the platform has established itself as a reliable solution in the RAG space.

Overall Rating
92/100
Starting Price
$100000/mo

About Lindy.ai

Lindy.ai Landing Page Screenshot

Lindy.ai is 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. Founded in 2023, headquartered in San Francisco, CA, USA, the platform has established itself as a reliable solution in the RAG space.

Overall Rating
81/100
Starting Price
Custom

Key Differences at a Glance

In terms of user ratings, Azumo in overall satisfaction. From a cost perspective, Lindy.ai offers more competitive entry pricing. The platforms also differ in their primary focus: AI Development versus AI Assistant. These differences make each platform better suited for specific use cases and organizational requirements.

⚠️ What This Comparison Covers

We'll analyze features, pricing, performance benchmarks, security compliance, integration capabilities, and real-world use cases to help you determine which platform best fits your organization's needs. All data is independently verified from official documentation and third-party review platforms.

Detailed Feature Comparison

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Azumo
logo of lindy
Lindy.ai
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CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
  • Custom ETL Pipelines – Pulls from proprietary systems, SharePoint, wikis, cloud storage into single index
  • Unstructured + Structured – PDFs, HTML, multimedia, databases, spreadsheets unified knowledge base Learn more
  • Vector Databases – Pinecone, Weaviate integration for domain-specific data indexing and retrieval
  • Document Formats – PDF, DOCX, XLSX, CSV, TXT, HTML (20MB per file)
  • Cloud Integrations – Drive, OneDrive, Dropbox, Notion, SharePoint, auto 24-hour sync
  • ⚠️ Storage Limits – 1M chars (Free), 20M (Pro), 50M (Business)
  • ⚠️ Search Constraint – Fuzziness <100 limits to first 1,500 files
  • 1,400+ file formats – PDF, DOCX, Excel, PowerPoint, Markdown, HTML + auto-extraction from ZIP/RAR/7Z archives
  • Website crawling – Sitemap indexing with configurable depth for help docs, FAQs, and public content
  • Multimedia transcription – AI Vision, OCR, YouTube/Vimeo/podcast speech-to-text built-in
  • Cloud integrations – Google Drive, SharePoint, OneDrive, Dropbox, Notion with auto-sync
  • Knowledge platforms – Zendesk, Freshdesk, HubSpot, Confluence, Shopify connectors
  • Massive scale – 60M words (Standard) / 300M words (Premium) per bot with no performance degradation
Integrations & Channels
  • Bespoke Connectors – Custom integrations for CRM, ERP, internal intranets, legacy systems
  • Multi-Channel Deployment – Web, mobile, Slack, Microsoft Teams via custom interfaces Integration services
  • 5,000+ Apps – Via Pipedream Connect with 2,500+ ready actions
  • Messaging – Slack, WhatsApp, Teams, Telegram, Discord, Twilio SMS
  • CRM – Salesforce (24 actions), HubSpot, Pipedrive, Zoho CRM
  • Productivity – Notion, Airtable, Google Workspace (Gmail, Calendar, Docs, Sheets, Drive)
  • Webhooks + HTTP – Inbound triggers and outbound API calls
  • Website embedding – Lightweight JS widget or iframe with customizable positioning
  • CMS plugins – WordPress, WIX, Webflow, Framer, SquareSpace native support
  • 5,000+ app ecosystem – Zapier connects CRMs, marketing, e-commerce tools
  • MCP Server – Integrate with Claude Desktop, Cursor, ChatGPT, Windsurf
  • OpenAI SDK compatible – Drop-in replacement for OpenAI API endpoints
  • LiveChat + Slack – Native chat widgets with human handoff capabilities
Core Chatbot Features
  • RAG Agents – Context-rich answers via advanced relevancy search and prompt engineering
  • Multi-Turn Conversations – Context retention with source attribution for trust See approach
  • Multi-Agent Systems – Complex agent orchestration and multi-step reasoning for business workflows
N/A
  • ✅ #1 accuracy – Median 5/5 in independent benchmarks, 10% lower hallucination than OpenAI
  • ✅ Source citations – Every response includes clickable links to original documents
  • ✅ 93% resolution rate – Handles queries autonomously, reducing human workload
  • ✅ 92 languages – Native multilingual support without per-language config
  • ✅ Lead capture – Built-in email collection, custom forms, real-time notifications
  • ✅ Human handoff – Escalation with full conversation context preserved
Customization & Branding
  • ✅ Unlimited Customization – Persona, tone, fully branded UI through bespoke development
  • Brand Voice Matching – Voice, greetings, fonts, colors, layouts tailored collaboratively Learn more
  • Widget – Custom name, accent color, logo for expanded/collapsed states
  • Domain Restrictions – Control allowed deployment domains
  • Memory Snippets – Learning preferences saved across sessions
  • ⚠️ White-Label Unclear – Complete branding removal not explicitly confirmed
  • Full white-labeling included – Colors, logos, CSS, custom domains at no extra cost
  • 2-minute setup – No-code wizard with drag-and-drop interface
  • Persona customization – Control AI personality, tone, response style via pre-prompts
  • Visual theme editor – Real-time preview of branding changes
  • Domain allowlisting – Restrict embedding to approved sites only
L L M Model Options
  • ✅ Model-Agnostic – GPT-4, Claude, LLaMA, Gemini, Cohere, open-source alternatives supported
  • Domain Fine-Tuning – Custom model tuning on business data for performance boost Learn more
  • Anthropic Claude – Sonnet 4.5 (default), Sonnet 3.7, Haiku 3.5
  • OpenAI – GPT-5, GPT-5 Codex, GPT-4o, GPT-4 Turbo, o3, o1
  • Google Gemini – 2.5 Pro, 2.5 Flash, 2.0 Flash
  • Per-Action Selection – Manual model choice affects credit consumption
  • ⚠️ No Auto-Routing – No dynamic model switching
  • GPT-5.1 models – Latest thinking models (Optimal & Smart variants)
  • GPT-4 series – GPT-4, GPT-4 Turbo, GPT-4o available
  • Claude 4.5 – Anthropic's Opus available for Enterprise
  • Auto model routing – Balances cost/performance automatically
  • Zero API key management – All models managed behind the scenes
Developer Experience ( A P I & S D Ks)
  • ⚠️ Custom APIs Only – Tailor-made microservices, no off-the-shelf SDKs or self-service
  • LangChain/Haystack – Internal frameworks with docs and code reviews on delivery See process
  • ⚠️ CRITICAL LIMITATION – NO public REST API, GraphQL, or SDKs
  • Workarounds Only – Inbound webhooks, HTTP actions, Code sandboxes (~150ms)
  • User-Focused Docs – Lindy Academy for business users, NO API reference
  • REST API – Full-featured for agents, projects, data ingestion, chat queries
  • Python SDK – Open-source customgpt-client with full API coverage
  • Postman collections – Pre-built requests for rapid prototyping
  • Webhooks – Real-time event notifications for conversations and leads
  • OpenAI compatible – Use existing OpenAI SDK code with minimal changes
Performance & Accuracy
  • ✅ High Accuracy – Fine-tuned retrieval, advanced reranking for relevant context only
  • Scalable Infrastructure – Efficient vector search, low latency on complex queries Benchmarks
  • Hybrid Search – Semantic + keyword with Fuzziness slider (0-100)
  • Hallucination Reduction – Human confirmation before actions
  • ⚠️ NO Published Benchmarks – No RAG accuracy or latency metrics
  • ⚠️ Black Box – Vector database and embedding models undisclosed
  • Sub-second responses – Optimized RAG with vector search and multi-layer caching
  • Benchmark-proven – 13% higher accuracy, 34% faster than OpenAI Assistants API
  • Anti-hallucination tech – Responses grounded only in your provided content
  • OpenGraph citations – Rich visual cards with titles, descriptions, images
  • 99.9% uptime – Auto-scaling infrastructure handles traffic spikes
Customization & Flexibility ( Behavior & Knowledge)
  • ✅ Complete Control – Multiple datastores, role-based access, custom system prompt tuning
  • Continuous Refinement – Add training data, tune prompts, custom logic integration Learn more
N/A
  • Live content updates – Add/remove content with automatic re-indexing
  • System prompts – Shape agent behavior and voice through instructions
  • Multi-agent support – Different bots for different teams
  • Smart defaults – No ML expertise required for custom behavior
Pricing & Scalability
  • ⚠️ Project-Based Pricing – $10K+ minimum, higher upfront than SaaS subscriptions Pricing
  • ✅ Enterprise Scale – Infrastructure scales with query volume and data growth automatically
  • Free: $0 – 400 credits, 1M char knowledge base
  • Pro: $49.99 – 5,000 credits, 20M chars, phone calls, Lindy branding
  • Business: $199.99-$299.99 – 20K-30K credits, 50M chars, custom branding
  • Enterprise: Custom – SSO, SCIM, dedicated support, custom training
  • ⚠️ Unpredictable Costs – Credit depletion speed is primary user complaint
  • Standard: $99/mo – 60M words, 10 bots
  • Premium: $449/mo – 300M words, 100 bots
  • Auto-scaling – Managed cloud scales with demand
  • Flat rates – No per-query charges
Security & Privacy
  • ✅ Data Sovereignty – On-prem or VPC deployments for complete data control
  • Enterprise Compliance – HIPAA, FINRA, GDPR with encryption and granular access Security
  • SOC 2 Type II, HIPAA, GDPR, PIPEDA, CCPA – Comprehensive compliance
  • Encryption – AES-256 at rest, TLS 1.2+ in transit
  • Enterprise SSO + SCIM – Automated user lifecycle management
  • ⚠️ US Data Residency Only – No explicit EU option documented
  • SOC 2 Type II + GDPR – Third-party audited compliance
  • Encryption – 256-bit AES at rest, SSL/TLS in transit
  • Access controls – RBAC, 2FA, SSO, domain allowlisting
  • Data isolation – Never trains on your data
Observability & Monitoring
  • Comprehensive Logging – Query performance, retrieval success, response times tracked out-of-box
  • Stack Integration – Splunk, CloudWatch integration for real-time alerts and analytics Learn more
  • Workflow Performance – Agent action visibility with recent runs
  • Audit Logs – User actions, data access on Business/Enterprise plans
  • ⚠️ Log Retention – 1 day (Free) severely constrains troubleshooting
  • ⚠️ NO RAG Metrics – Cannot track retrieval precision or recall
  • Real-time dashboard – Query volumes, token usage, response times
  • Customer Intelligence – User behavior patterns, popular queries, knowledge gaps
  • Conversation analytics – Full transcripts, resolution rates, common questions
  • Export capabilities – API export to BI tools and data warehouses
Support & Ecosystem
  • ✅ White-Glove Support – Dedicated manager, direct dev team access during and post-deployment Details
  • Technology Partnerships – Snowflake partnership, deep expertise across multiple AI platforms
  • Email Support – support@lindy.ai, security@lindy.ai, privacy@lindy.ai
  • Slack + Forum – community.lindy.ai for peer support
  • 100+ Templates – Pre-built workflow automation scenarios
  • ⚠️ Support Inconsistency – Mixed reviews on responsiveness for lower tiers
  • Comprehensive docs – Tutorials, cookbooks, API references
  • Email + in-app support – Under 24hr response time
  • Premium support – Dedicated account managers for Premium/Enterprise
  • Open-source SDK – Python SDK, Postman, GitHub examples
  • 5,000+ Zapier apps – CRMs, e-commerce, marketing integrations
Core Agent Features
  • Custom RAG – Context-rich answers via relevancy search and prompt engineering Approach
  • Multi-Agent Systems – Orchestration and multi-step reasoning for complex workflows
  • Voice & Text – Voice agents, text chatbots, hybrid solutions per channel
  • CRM Integration – Salesforce, HubSpot, Dynamics integration for lead capture and management
  • Human Handoff – Context transfer when AI confidence drops or queries complex
  • ✅ Bespoke Development – No off-the-shelf limits on functionality or integration capabilities
  • Agent Autonomy Focus – Task execution vs conversational chatbot
  • Multi-Lingual – 30+ (voice), 50+ (transcription), 85+ (text)
  • ✅ Lead Capture – Real-time qualification, CRM sync (70% higher conversion claimed)
  • Agent Evals – Benchmarking with regression prevention
  • Custom AI Agents – Autonomous GPT-4/Claude agents for business tasks
  • Multi-Agent Systems – Specialized agents for support, sales, knowledge
  • Memory & Context – Persistent conversation history across sessions
  • Tool Integration – Webhooks + 5,000 Zapier apps for automation
  • Continuous Learning – Auto re-indexing without manual retraining
R A G-as-a- Service Assessment
  • ⚠️ Custom Agency NOT SaaS – Bespoke RAG solutions, not self-service platform
  • Target Audience – Enterprises with $10K+ budgets, complex needs, not rapid prototyping
  • ✅ Complete Pipeline – Chunking, embeddings, vector DBs, retrieval, reranking customized
  • Agentic RAG – Multi-agent reasoning, self-validation, real-time orchestration Approach
  • ✅ Code Ownership – Clients own code and infrastructure for complete control
  • ⚠️ Timeline – Weeks to months delivery, not instant API access
  • ⚠️ NOT a RAG Platform – Workflow automation for business users vs developers
  • Black-Box RAG – Hybrid search with no exposed retrieval controls
  • NO API, SDKs, CLI – No programmatic access for developers
  • Platform type – TRUE RAG-AS-A-SERVICE with managed infrastructure
  • API-first – REST API, Python SDK, OpenAI compatibility, MCP Server
  • No-code option – 2-minute wizard deployment for non-developers
  • Hybrid positioning – Serves both dev teams (APIs) and business users (no-code)
  • Enterprise ready – SOC 2 Type II, GDPR, WCAG 2.0, flat-rate pricing
Additional Considerations
  • ✅ Best For – Mission-critical AI, legacy system integration, complex multi-step workflows
  • ✅ Code Ownership – Ultimate flexibility to maintain or extend post-delivery Approach
  • ⚠️ Investment – Higher upfront cost, longer rollout than SaaS tools
N/A
  • Time-to-value – 2-minute deployment vs weeks with DIY
  • Always current – Auto-updates to latest GPT models
  • Proven scale – 6,000+ organizations, millions of queries
  • Multi-LLM – OpenAI + Claude reduces vendor lock-in
No- Code Interface & Usability
  • ⚠️ No Pre-Built UI – Admin/user interfaces built as part of custom solution
  • Developer Required – Non-developers need developer help for changes despite polished UI
  • ✅ 4.9/5 G2 Rating – 109+ reviews validate ease of use
  • Agent Builder – Natural language prompts create complex agents
  • Setup Speed – 30 seconds vs 15-60 minutes with Zapier/Make
  • Drag-Drop Builder – Visual workflow construction, zero coding
  • 2-minute deployment – Fastest time-to-value in the industry
  • Wizard interface – Step-by-step with visual previews
  • Drag-and-drop – Upload files, paste URLs, connect cloud storage
  • In-browser testing – Test before deploying to production
  • Zero learning curve – Productive on day one
Competitive Positioning
  • Market Position – Premium custom AI agency for mission-critical enterprise RAG solutions
  • Target Customers – Large enterprises, regulated industries (HIPAA, FINRA) with legacy integration needs
  • Key Competitors – Deviniti, Contextual.ai, Azure AI, OpenAI enterprise, internal dev teams
  • ✅ Advantages – Model-agnostic, white-glove support, code ownership, on-prem/VPC deployment, Snowflake partnerships
  • Pricing Value – Higher upfront, no recurring costs; best for complex unique requirements
  • Ideal Use Cases – Legacy integration, specialized workflows, fine-tuning, compliance needing on-prem control
  • ✅ Primary Advantage – 4.9/5 G2 usability with 5,000+ integrations
  • Financial Validation – $5.1M revenue, $50M+ funding (Menlo, Battery, Coatue)
  • Claude Sonnet 4.5 Default – Drove 10x customer growth
  • ⚠️ Pricing Unpredictability – Credit-based model most common complaint
  • Market position – Leading RAG platform balancing enterprise accuracy with no-code usability. Trusted by 6,000+ orgs including Adobe, MIT, Dropbox.
  • Key differentiators – #1 benchmarked accuracy • 1,400+ formats • Full white-labeling included • Flat-rate pricing
  • vs OpenAI – 10% lower hallucination, 13% higher accuracy, 34% faster
  • vs Botsonic/Chatbase – More file formats, source citations, no hidden costs
  • vs LangChain – Production-ready in 2 min vs weeks of development
A I Models
  • ✅ Model-Agnostic – GPT-4, Claude 3.5, Gemini, LLaMA 3.3, Qwen, Cohere, open-source
  • ⚠️ Selection Process – Azumo team determines during discovery, not self-service configuration
  • Fine-Tuning – Domain-specific tuning on curated datasets reflecting real business environments
  • Provider Relationships – OpenAI, Anthropic, Google, Meta, DeepSeek, xAI, Mistral partnerships
  • Default: Claude Sonnet 4.5 – 'Almost no one overrides' per Anthropic
  • Claude Family – Sonnet 4.5, 3.7, Haiku 3.5 (200K context)
  • OpenAI – GPT-5, GPT-4o, GPT-4 Turbo, o3, o1
  • Google – Gemini 2.5 Pro, 2.5 Flash, 2.0 Flash
  • OpenAI – GPT-5.1 (Optimal/Smart), GPT-4 series
  • Anthropic – Claude 4.5 Opus/Sonnet (Enterprise)
  • Auto-routing – Intelligent model selection for cost/performance
  • Managed – No API keys or fine-tuning required
R A G Capabilities
  • Vector Databases – Pinecone, Weaviate, Qdrant integration for domain-specific data handling
  • Semantic Chunking – Breaks docs by topic/intent, sizes vary by content type
  • Advanced Retrieval – Relevancy search with reranking for high accuracy context
  • 128K Context Window – Large document processing and complex queries supported
  • ✅ Complete Pipeline – Chunking, embedding, vector search, reranking, answer generation with citations
  • Hybrid Search – Semantic + keyword with Fuzziness slider (0-100)
  • Document Processing – PDF, DOCX, XLSX, CSV, TXT, HTML (20MB)
  • Cloud Integration – Auto 24-hour sync (Drive, OneDrive, Dropbox, Notion, SharePoint)
  • ⚠️ Black Box – Vector database, embedding models undisclosed
  • ⚠️ NO Developer Control – Cannot customize retrieval parameters
  • GPT-4 + RAG – Outperforms OpenAI in independent benchmarks
  • Anti-hallucination – Responses grounded in your content only
  • Automatic citations – Clickable source links in every response
  • Sub-second latency – Optimized vector search and caching
  • Scale to 300M words – No performance degradation at scale
Use Cases
  • Primary Industries – E-commerce, healthcare, finance, manufacturing/logistics with complex AI needs
  • Enterprise Apps – Custom ETL, wiki integration, SharePoint connectors, multi-agent systems
  • Team Sizes – Large enterprises, 1-15 Azumo members working alongside client teams
  • Common Projects – Legacy modernization, Azure migrations, health screening, CRM integration with AI
  • ⚠️ Timeline – 12-18 month pilots typical before company-wide rollout, slower than SaaS
  • Sales Automation – Lead qualification, scoring, enrichment, CRM syncing
  • Customer Support – Email triage, routing, FAQ, escalation
  • Voice Agents (Gaia) – 30+ language phone automation with call transfer
  • ⚠️ NOT Ideal For – Developers needing RAG APIs, EU residency
  • Customer support – 24/7 AI handling common queries with citations
  • Internal knowledge – HR policies, onboarding, technical docs
  • Sales enablement – Product info, lead qualification, education
  • Documentation – Help centers, FAQs with auto-crawling
  • E-commerce – Product recommendations, order assistance
Security & Compliance
  • ✅ Certifications – HIPAA with BAA, FINRA, GDPR compliance for regulated industries
  • ✅ Deployment Options – On-premise or VPC for data sovereignty, cloud-agnostic architecture
  • Encryption – Enterprise-grade at rest/transit, granular access controls, role-based permissions
  • Custom Retention – Data retention policies tailored to industry compliance mandates
  • Monitoring – Logging tied to Splunk, CloudWatch for real-time alerts and analytics
  • Vulnerability Management – Continuous security scanning and threat detection for production systems
  • SOC 2 Type II + HIPAA with BAA – Independently audited
  • GDPR + PIPEDA + CCPA – Multi-region privacy compliance
  • AES-256 + TLS 1.2+ – Encryption at rest and in transit
  • ⚠️ NO ISO 27001 – May limit enterprise procurement
  • SOC 2 Type II + GDPR – Regular third-party audits, full EU compliance
  • 256-bit AES encryption – Data at rest; SSL/TLS in transit
  • SSO + 2FA + RBAC – Enterprise access controls with role-based permissions
  • Data isolation – Never trains on customer data
  • Domain allowlisting – Restrict chatbot to approved domains
Pricing & Plans
  • ⚠️ Project-Based – $10K+ minimum, $4,200-$70K+ range, higher upfront than SaaS
  • Hourly Rate – Average $25-49/hour, costs scale by scope and complexity
  • Billing Flexibility – Week-by-week exploratory pricing, custom enterprise agreements (average 3.2+ years)
  • Team Size – 1-15 members ensuring quality service and timely delivery
  • ✅ Value – Full code ownership, no recurring costs, long-term investment payoff
  • Free: $0 – 400 credits, 1M chars, 1-day logs
  • Pro: $49.99 – 5K credits, 20M chars, phone calls
  • Business: $199.99-$299.99 – 20K-30K credits, 50M chars, branding
  • ⚠️ PRIMARY COMPLAINT – Unpredictable credit consumption difficult to budget
  • Standard: $99/mo – 10 chatbots, 60M words, 5K items/bot
  • Premium: $449/mo – 100 chatbots, 300M words, 20K items/bot
  • Enterprise: Custom – SSO, dedicated support, custom SLAs
  • 7-day free trial – Full Standard access, no charges
  • Flat-rate pricing – No per-query charges, no hidden costs
Support & Documentation
  • ✅ White-Glove – Dedicated manager, direct dev team access during and post-deployment
  • Project Management – Weekly meetings, backlog system, continuous engagement beyond original scope
  • Custom Docs – Endpoint design, architecture diagrams, implementation guides delivered with code
  • Training – In-person knowledge transfer sessions with client teams, clear docs
  • ⚠️ No SLAs – Direct communication, high responsiveness reported but no formal SLAs
  • ⚠️ No Community – Professional services model only, no public forums
  • Lindy Academy – Step-by-step tutorials for business users
  • 100+ Templates – Pre-built workflows for common scenarios
  • Slack + Forum – community.lindy.ai for peer support
  • ⚠️ NO Developer Docs – No API reference or technical architecture
  • Documentation hub – Docs, tutorials, API references
  • Support channels – Email, in-app chat, dedicated managers (Premium+)
  • Open-source – Python SDK, Postman, GitHub examples
  • Community – User community + 5,000 Zapier integrations
Limitations & Considerations
  • ⚠️ High Initial Cost – $10K+ minimum, not suitable for small businesses
  • ⚠️ Long Timeline – 12-18 month pilots, weeks to months vs. hours for SaaS
  • ⚠️ Requires Dev Teams – Need internal developers to maintain and extend post-delivery
  • ⚠️ Services-Driven – Azumo determines config, not self-service dashboard controls
  • Learning Curve – Significant onboarding and training needed for client teams
  • Not Ideal For – Simple use cases, rapid deployment needs, budget-constrained startups
  • NO Public REST API – Cannot manage agents programmatically
  • Black Box RAG – Vector database, embeddings undisclosed
  • Search Constraint – Fuzziness <100 limits to 1,500 files
  • Credit Unpredictability – Most common user complaint about costs
  • ⚠️ Platform Mismatch – Workflow automation vs RAG comparison misleading
  • Managed service – Less control over RAG pipeline vs build-your-own
  • Model selection – OpenAI + Anthropic only; no Cohere, AI21, open-source
  • Real-time data – Requires re-indexing; not ideal for live inventory/prices
  • Enterprise features – Custom SSO only on Enterprise plan
Autopilot & Computer Use ( Core Differentiator)
N/A
  • Unique Capability – AI agents operate cloud-based virtual computers
  • No API Required – Interact with any website/application through computer vision
  • E2B Sandboxes – Secure Python/JavaScript execution (~150ms startup)
  • ✅ Market Differentiation – Computer Use unique among no-code automation platforms
N/A
Multi- Agent Collaboration
N/A
  • Societies of Lindies – Multiple specialized agents with delegation rules
  • Context Preservation – Full conversation history passed between agents
  • Use Cases – Sales (SDR → AE → CS), Support (Triage → Technical → Escalation)
  • Learning Shared – Feedback across agent society for collective improvement
N/A
Lead Capture & Conversion
N/A
  • Real-Time Qualification – AI evaluates lead quality during conversation
  • Enrichment – Firmographic data, UTM attribution, validation
  • Auto CRM Sync – Qualified leads flow to Salesforce, HubSpot, Pipedrive, Zoho
  • ✅ 70% Higher Conversion – Claimed vs traditional forms (vendor claim)
N/A

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Final Thoughts

Final Verdict: Azumo vs Lindy.ai

After analyzing features, pricing, performance, and user feedback, both Azumo and Lindy.ai are capable platforms that serve different market segments and use cases effectively.

When to Choose Azumo

  • You value highly skilled nearshore developers in same timezone
  • Extensive AI/ML expertise since 2016
  • Flexible engagement models (staff aug or project-based)

Best For: Highly skilled nearshore developers in same timezone

When to Choose Lindy.ai

  • You value 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

Best For: Exceptional no-code usability: 4.9/5 G2 rating, 30-second setup vs 15-60 min with Zapier/Make

Migration & Switching Considerations

Switching between Azumo and Lindy.ai requires careful planning. Consider data export capabilities, API compatibility, and integration complexity. Both platforms offer migration support, but expect 2-4 weeks for complete transition including testing and team training.

Pricing Comparison Summary

Azumo starts at $100000/month, while Lindy.ai begins at custom pricing. Total cost of ownership should factor in implementation time, training requirements, API usage fees, and ongoing support. Enterprise deployments typically see annual costs ranging from $10,000 to $500,000+ depending on scale and requirements.

Our Recommendation Process

  1. Start with a free trial - Both platforms offer trial periods to test with your actual data
  2. Define success metrics - Response accuracy, latency, user satisfaction, cost per query
  3. Test with real use cases - Don't rely on generic demos; use your production data
  4. Evaluate total cost - Factor in implementation time, training, and ongoing maintenance
  5. Check vendor stability - Review roadmap transparency, update frequency, and support quality

For most organizations, the decision between Azumo and Lindy.ai comes down to specific requirements rather than overall superiority. Evaluate both platforms with your actual data during trial periods, focusing on accuracy, latency, ease of integration, and total cost of ownership.

📚 Next Steps

Ready to make your decision? We recommend starting with a hands-on evaluation of both platforms using your specific use case and data.

  • • Review: Check the detailed feature comparison table above
  • • Test: Sign up for free trials and test with real queries
  • • Calculate: Estimate your monthly costs based on expected usage
  • • Decide: Choose the platform that best aligns with your requirements

Last updated: February 3, 2026 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.

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CustomGPT

The most accurate RAG-as-a-Service API. Deliver production-ready reliable RAG applications faster. Benchmarked #1 in accuracy and hallucinations for fully managed RAG-as-a-Service API.

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Priyansh Khodiyar's avatar

Priyansh Khodiyar

DevRel at CustomGPT.ai. Passionate about AI and its applications. Here to help you navigate the world of AI tools and make informed decisions for your business.

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