In this comprehensive guide, we compare Fastbots and Yellow.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 Fastbots and Yellow.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 Fastbots if: you value best value for multi-llm access - $19.99/month for gpt-4, claude, and gemini (vs competitors at $50-100/month)
Choose Yellow.ai if: you value genuinely comprehensive 35+ channel coverage: whatsapp bsp, messenger, instagram, telegram, slack, teams, voice, sms
About Fastbots
Fastbots is ai chatbot platform with 80+ integrations and white-label agency features. Fastbots is a multi-LLM chatbot platform with 80+ native integrations, visual flow builder, and comprehensive white-labeling for agencies. It offers intelligent routing across GPT-4, Claude, and Gemini with competitive pricing starting at $19.99/month, but lacks enterprise certifications and has inconsistent performance across different LLMs. Founded in 2023, headquartered in United States, the platform has established itself as a reliable solution in the RAG space.
Overall Rating
96/100
Starting Price
$19.99/mo
About Yellow.ai
Yellow.ai is enterprise conversational ai platform with multi-llm orchestration. Enterprise conversational AI platform with embedded RAG capabilities processing 16 billion+ conversations annually. Multi-LLM orchestration across 35+ channels and 135+ languages with proprietary YellowG LLM claiming <1% hallucination rates. Founded in 2016, headquartered in San Mateo, CA, USA / Bengaluru, India, the platform has established itself as a reliable solution in the RAG space.
Overall Rating
85/100
Starting Price
Custom
Key Differences at a Glance
In terms of user ratings, Fastbots in overall satisfaction. From a cost perspective, pricing is comparable. The platforms also differ in their primary focus: Chatbot Platform versus Conversational AI. 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
Fastbots
Yellow.ai
CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
Website crawling: Enter URL and auto-extract content with configurable depth
Document upload: PDF, DOCX, TXT, CSV files
Audio and video ingestion: Upload media files for transcription and knowledge extraction
Plain text input: Paste or type content directly
Storage limits: 400K characters (Free), 11 million characters (Starter+)
Auto-retrain: Configurable schedule for knowledge base updates (daily, weekly, monthly)
Note: No native Google Drive, Dropbox, or Notion integrations - requires manual export or API setup
Note: No YouTube transcript auto-ingestion - video must be uploaded as file
Note: 11M character limit can fill quickly with comprehensive documentation (e.g., enterprise KB with 100+ articles)
Sitemap support: Bulk import from XML sitemaps
Document Cognition (DocCog) Engine: 75-85% accuracy depending on document complexity using T5 model fine-tuned on SQuAD/TriviaQA
Supported Formats: PDF, DOCX, DOC, PPTX, PPT, TXT via manual upload through platform UI only (no API upload)
Automatic Synchronization: Configurable intervals - hourly, daily, weekly for external knowledge base updates
Website Crawling: URL ingestion and sitemap.xml parsing for structured site content extraction
Missing Integrations: No Google Drive, Dropbox, or Notion support - significant gap vs competitors
YouTube Limitation: Transcript ingestion not natively supported
API Gap: No programmatic document upload or knowledge base management via API
Q&A Extraction: T5 model-based question-answer pair generation from ingested documents
Lets you ingest more than 1,400 file formats—PDF, DOCX, TXT, Markdown, HTML, and many more—via simple drag-and-drop or API.
Crawls entire sites through sitemaps and URLs, automatically indexing public help-desk articles, FAQs, and docs.
Turns multimedia into text on the fly: YouTube videos, podcasts, and other media are auto-transcribed with built-in OCR and speech-to-text.
View Transcription Guide
Connects to Google Drive, SharePoint, Notion, Confluence, HubSpot, and more through API connectors or Zapier.
See Zapier Connectors
Supports both manual uploads and auto-sync retraining, so your knowledge base always stays up to date.
L L M Model Options
OpenAI models: GPT-4, GPT-4 Turbo, GPT-3.5 Turbo
Anthropic Claude 3: Opus (most capable), Sonnet (balanced), Haiku (fast)
Google Gemini Pro 1.5
Meta Llama 3.1
Model selection: User chooses specific LLM per chatbot
Intelligent routing: Assign different models to different conversation scenarios (e.g., GPT-4 for complex, GPT-3.5 for simple)
Cost optimization: Route simple queries to cheaper models, complex to GPT-4
Note: Performance varies by model: Users report GPT-4 works best, Claude/Gemini show inconsistencies
No API key requirement: Models included in subscription (vs bring-your-own-key platforms)
Proprietary YellowG LLM: Claims <1% hallucination rate vs GPT-3's 22.7% (vendor benchmarks), 0.6s avg response time
REST API: Available on Professional ($99/mo) and above
Note: No official SDKs in any language (Python, JavaScript, etc.)
API documentation: Basic REST endpoint documentation in help center
Note: No Swagger/OpenAPI specification
Note: Developer experience rated lower compared to enterprise platforms
Webhook support: POST notifications to external endpoints
Custom JavaScript: Inject custom code for widget behavior
API rate limits: Not publicly documented
Authentication: API key-based
Platform-First Architecture: Designed for UI-based development with APIs serving supplementary functions (not primary access)
Available via API: User management (create/update/delete/list), event pushing for custom triggers, outbound notifications, webhook integrations
NOT Available via API: Bot/agent creation or management, document upload, knowledge base management, direct RAG query endpoints, embedding/vector store access, analytics data export
Mobile SDKs: Well-documented Android (Java), iOS (Swift), React Native, Flutter, Cordova with complete code examples, Postman collections, demo applications
Python SDK: Does not exist - major limitation for backend developers and data science teams
Web SDK: Script tag injection only (no npm package) - documentation criticized as incomplete by G2 reviewers
Rate Limits: Not publicly documented - no transparency for production capacity planning
OpenAPI Spec: Not published - no Swagger documentation for API exploration
Critical Limitation: Cannot use Yellow.ai as RAG backend - queries must flow through platform conversation flows vs direct API calls
Ships a well-documented REST API for creating agents, managing projects, ingesting data, and querying chat.
API Documentation
Lead qualification: Score and route leads based on responses
Human handoff: Transfer to inbox or third-party tools (Intercom, Zendesk, etc.)
Unified inbox: Manage all conversations from one dashboard
Team collaboration: Multiple team members with role-based access
Conversation memory: Context retention throughout session
Intent detection: AI-powered understanding of user goals
Fallback responses: Custom messages when bot doesn't understand
A/B testing: Test different response variations
Multi-Turn Conversations: Super Agent maintains conversation context across turns with intent detection, entity extraction, slot filling, and dialogue state management
150+ Language Support: Automatic language detection with native multilingual processing across all 150+ supported languages reducing accuracy loss vs translation-based systems
Human Handoff: Configurable escalation triggers with full conversation history transfer, agent workload balancing, queue management, and SLA tracking
Analytics & Insights: Comprehensive dashboards with containment rates, CSAT scores, conversation flows, drop-off points, user journey analytics, and business KPI tracking
Agent Performance Monitoring: Bot accuracy scoring, user satisfaction metrics, conversation success rates, A/B testing capabilities for continuous improvement
Voice AI Capabilities: Real-time voice agents in 50+ languages with sentiment analysis during calls, IVR integration, call deflection, automated transcription
Lead Capture & Qualification: Real-time lead scoring, CRM integration (Salesforce, HubSpot, Zoho), automatic contact creation, lead routing based on firmographics
Safety & Conduct Controls: Configurable filters ensuring ethical communication, avoiding harmful topics, handling sensitive data responsibly with compliance guardrails
Conversational Behavior Rules: Define conversation rules guiding agent responses in different situations ensuring consistent interactions across channels and use cases
Reduces hallucinations by grounding replies in your data and adding source citations for transparency.
Benchmark Details
Handles multi-turn, context-aware chats with persistent history and solid conversation management.
Speaks 90+ languages, making global rollouts straightforward.
Includes extras like lead capture (email collection) and smooth handoff to a human when needed.
Omnichannel Support
Website widget: Embeddable chat with customization
WhatsApp: Cloud API + 360Dialog integration
Facebook Messenger: Native integration with business pages
Instagram DM: Automated responses to direct messages
Telegram: Bot deployment with inline buttons
Slack: Workspace integration for internal or customer use
Discord: Server bot deployment
Note: No voice/IVR capabilities (unlike UChat or Zendesk)
Note: No SMS support without third-party integration
API deployment: Build custom interfaces via API
N/A
N/A
Observability & Monitoring
Conversation analytics: Total conversations, messages, unique users
Proven Scale: 16 billion+ conversations annually, customers include Sony, Domino's, Hyundai, Volkswagen across 85+ countries
Regional Strength: Multi-region data centers (US, EU, Singapore, India, Indonesia, UAE) with Komodo-7B for Southeast Asia
Primary Challenge: NOT a RAG-as-a-Service platform - embedded RAG within closed conversational system blocks API-first use cases
Developer Friction: No Python SDK, no knowledge base API, no dedicated RAG endpoints, web SDK documentation gaps
Pricing Barrier: ~$10K-$25K annual minimum with 4-month implementation vs competitors with sub-$100/month self-service tiers
Learning Curve: G2 reviews cite steep complexity - "setup felt akin to solving a Rubik's cube blindfolded"
Market Position: Competes with enterprise CX platforms (Genesys, Twilio, LivePerson) vs RAG API services (CustomGPT.ai, Pinecone Assistant)
Use Case Fit: Exceptional for enterprises needing omnichannel CX automation at scale; poor fit for developers seeking programmable RAG capabilities
Architectural Mismatch: Platform-first vs API-first design makes direct RAG platform comparison fundamentally misleading
Market position: Leading all-in-one RAG platform balancing enterprise-grade accuracy with developer-friendly APIs and no-code usability for rapid deployment
Target customers: Mid-market to enterprise organizations needing production-ready AI assistants, development teams wanting robust APIs without building RAG infrastructure, and businesses requiring 1,400+ file format support with auto-transcription (YouTube, podcasts)
Key competitors: OpenAI Assistants API, Botsonic, Chatbase.co, Azure AI, and custom RAG implementations using LangChain
Competitive advantages: Industry-leading answer accuracy (median 5/5 benchmarked), 1,400+ file format support with auto-transcription, SOC 2 Type II + GDPR compliance, full white-labeling included, OpenAI API endpoint compatibility, hosted MCP Server support (Claude, Cursor, ChatGPT), generous data limits (60M words Standard, 300M Premium), and flat monthly pricing without per-query charges
Pricing advantage: Transparent flat-rate pricing at $99/month (Standard) and $449/month (Premium) with generous included limits; no hidden costs for API access, branding removal, or basic features; best value for teams needing both no-code dashboard and developer APIs in one platform
Use case fit: Ideal for businesses needing both rapid no-code deployment and robust API capabilities, organizations handling diverse content types (1,400+ formats, multimedia transcription), teams requiring white-label chatbots with source citations for customer-facing or internal knowledge projects, and companies wanting all-in-one RAG without managing ML infrastructure
A I Models
OpenAI models: GPT-4, GPT-4 Turbo, GPT-3.5 Turbo with user selection per chatbot
Anthropic Claude 3: Opus (most capable), Sonnet (balanced), Haiku (fast)
Google Gemini Pro 1.5 for multimodal capabilities
Meta Llama 3.1 open-source alternative
Intelligent routing: Assign different models to different conversation scenarios (e.g., GPT-4 for complex, GPT-3.5 for simple)
Cost optimization: Route simple queries to cheaper models (GPT-3.5), complex to premium (GPT-4)
No API key requirement: Models included in subscription vs bring-your-own-key platforms
Performance variance: User reports indicate GPT-4 works best, Claude/Gemini show inconsistencies
Proprietary YellowG LLM: Custom-trained model with vendor-claimed <1% hallucination rate vs GPT-3's 22.7%, 0.6-second average response time
Komodo-7B: Specialized Indonesia-focused model supporting 11+ regional language variants for Southeast Asian market dominance
Orchestrator LLM: Context switching and multi-intent detection engine with zero-training deployment capability
T5 Fine-Tuned: SQuAD/TriviaQA trained model for Document Cognition with 75-85% accuracy depending on complexity
GPT-3 & GPT-3.5: Integration documented for supplemental processing and model routing
15+ LLM Models: Multi-model architecture combining proprietary and third-party models for optimal task routing
Dynamic Model Routing: Automatic selection based on query complexity, language requirements, and performance optimization
Note: GPT-4/Claude support not explicitly confirmed - availability unclear in documentation
Enterprise Training: Models trained on 16 billion+ anonymized customer conversations with PII masking at data layer
Limited Flexibility: Users cannot manually select models - system handles routing automatically without direct control
Primary models: GPT-5.1 and 4 series from OpenAI, and Anthropic's Claude 4.5 (opus and sonnet) for enterprise needs
Automatic model selection: Balances cost and performance by automatically selecting the appropriate model for each request
Model Selection Details
Proprietary optimizations: Custom prompt engineering and retrieval enhancements for high-quality, citation-backed answers
Managed infrastructure: All model management handled behind the scenes - no API keys or fine-tuning required from users
Anti-hallucination technology: Advanced mechanisms ensure chatbot only answers based on provided content, improving trust and factual accuracy
R A G Capabilities
Website crawling: Auto-extract content with configurable depth from URL entry
Document upload: PDF, DOCX, TXT, CSV files with 11 million character storage limit (Starter+)
Audio and video ingestion: Upload media files for transcription and knowledge extraction
Auto-retrain scheduling: Configurable updates (daily, weekly, monthly) for knowledge base freshness
Sitemap support: Bulk import from XML sitemaps for comprehensive site coverage
Conversation memory: Context retention across messages within session
Overall accuracy: ~85% with optimal model selection (GPT-4 performs best)
Response time: Real-time streaming for faster perceived performance
Limitations: No native Google Drive, Dropbox, or Notion integrations; 11M character limit fills quickly with comprehensive documentation
Agentic RAG Architecture: Multi-checkpoint validation combining intelligent retrieval with reasoning and action - Yellow.ai's AI Agents don't just retrieve, they think, act, and learn
Document Cognition (DocCog): T5 model-based Q&A extraction with 75-85% accuracy depending on document complexity
Hallucination Prevention: Proprietary YellowG LLM approach with vendor-claimed <1% rate vs industry averages through training optimization
Automatic Guardrails: Policy compliance and response filtering from deployment without manual configuration requirements
Knowledge Synchronization: Configurable intervals (hourly, daily, weekly) for external sources including Salesforce, ServiceNow, Confluence, SharePoint
Website Crawling: URL ingestion and sitemap.xml parsing for structured site content extraction and Q&A generation
Enterprise Integrations: Bi-directional sync with AWS S3, Prismic, and major enterprise knowledge bases
Note: Closed Architecture: RAG embedded within platform - no direct endpoints, embedding customization, or vector store API access for developers
Note: No API Upload: Document upload requires manual platform UI interaction - cannot programmatically manage knowledge base
Core architecture: GPT-4 combined with Retrieval-Augmented Generation (RAG) technology, outperforming OpenAI in RAG benchmarks
RAG Performance
Anti-hallucination technology: Advanced mechanisms reduce hallucinations and ensure responses are grounded in provided content
Benchmark Details
Automatic citations: Each response includes clickable citations pointing to original source documents for transparency and verification
Optimized pipeline: Efficient vector search, smart chunking, and caching for sub-second reply times
Scalability: Maintains speed and accuracy for massive knowledge bases with tens of millions of words
Context-aware conversations: Multi-turn conversations with persistent history and comprehensive conversation management
Source verification: Always cites sources so users can verify facts on the spot
Use Cases
E-commerce customer support: Shopify, WooCommerce, BigCommerce integrations for 24/7 product queries and order tracking
Lead generation: Custom forms with field validation, lead qualification scoring, and CRM sync (HubSpot, Salesforce, Pipedrive)
Multi-channel deployment: WhatsApp (Cloud API + 360Dialog), Facebook Messenger, Instagram DM, Telegram, Slack, Discord with unified inbox
Small business websites: JavaScript widget embedding with customization for professional appearance at $19.99/month
Agency white-label: Custom domains, remove branding from Starter plan for client deployments
Multilingual support: 95+ languages with automatic translation for global customer bases
NOT suitable for: Regulated industries (no HIPAA, SOC 2), voice/IVR use cases, enterprises requiring compliance certifications
Customer Service Automation: 90% query automation across 35+ channels with 60% operational cost reduction - handles 16 billion+ conversations annually
Employee Experience (EX): IT support automation (password resets, hardware requests), HR policy FAQs, leave applications, pay slip access, conference room bookings with rapid response delivery even in low bandwidth environments
24/7 Support Operations: Minimal human involvement for routine queries, autonomous account issue resolution, transaction execution, multi-department coordination with full context preservation
E-commerce & Retail: Personal shopping assistance (inventory browsing, price comparison, order placement, returns handling), real-time transaction monitoring with suspicious activity blocking
Travel & Hospitality: Booking management for travel, hotels, restaurants with automatic rebooking during disruptions and 24/7 availability
Financial Services: Fraud detection workflows with automated investigation initiation and PCI DSS compliance for payment transactions
Healthcare: HIPAA-compliant patient engagement and support with protected health information handling capabilities
Government & Federal: FedRAMP authorized platform for US federal deployments with complete compliance and security requirements
Real-World Results: Lulu Hypermarket 3M+ unique users in 4 weeks, Sony 21,000+ voice calls in 2 months, Lion Parcel 85% automation rate, AirAsia employee experience transformation
Enterprise Scale: Customers include Sony, Domino's, Hyundai, Volkswagen, Ferrellgas across 85+ countries with billion+ conversation processing
Customer support automation: AI assistants handling common queries, reducing support ticket volume, providing 24/7 instant responses with source citations
Internal knowledge management: Employee self-service for HR policies, technical documentation, onboarding materials, company procedures across 1,400+ file formats
Sales enablement: Product information chatbots, lead qualification, customer education with white-labeled widgets on websites and apps
Documentation assistance: Technical docs, help centers, FAQs with automatic website crawling and sitemap indexing
Educational platforms: Course materials, research assistance, student support with multimedia content (YouTube transcriptions, podcasts)
Healthcare information: Patient education, medical knowledge bases (SOC 2 Type II compliant for sensitive data)
E-commerce: Product recommendations, order assistance, customer inquiries with API integration to 5,000+ apps via Zapier
SaaS onboarding: User guides, feature explanations, troubleshooting with multi-agent support for different teams
Security & Compliance
Yes GDPR compliance - European data protection regulation
Yes CCPA compliance - California Consumer Privacy Act
Yes Data encryption - In transit and at rest
Yes SSL/TLS - For custom domains
NO SOC 2 Type II certification - Unsuitable for enterprise security requirements
NO HIPAA compliance - Not for healthcare data
NO ISO 27001 certification - No international security standard
NO PCI DSS certification - Payment data should be handled via integrations only (Stripe, PayPal)
NO FedRAMP authorization - Not for US government use
Data residency: Not documented - likely US-based infrastructure
User access controls: Role-based permissions for team members
Best for: Non-regulated SMBs without strict compliance requirements
SOC 2 Type II: Independently audited security controls and compliance certification with annual penetration testing validation
ISO Certifications: ISO 27001 (Information Security Management), ISO 27018 (Cloud Privacy Controls), ISO 27701 (Privacy Information Management)
HIPAA Compliant: Healthcare industry ready for protected health information (PHI) handling with Business Associate Agreement support
GDPR Compliant: European data protection and privacy rights with regional data centers in EU for data residency requirements
PCI DSS Certified: Payment Card Industry Data Security Standard Level 1 compliance for financial transaction security
FedRAMP Authorized: Federal Risk and Authorization Management Program certification for US government cloud deployments
Encryption Standards: AES-256 encryption at rest, TLS 1.3 for data in transit exceeding industry baseline requirements
Regional Data Centers: 6 global regions (US, EU, Singapore, India, Indonesia, UAE) with customer-selected data residency for compliance and latency optimization
Enterprise Identity Management: SSO/SAML integration with Google, Microsoft, Azure AD, LDAP for unified access control
RBAC Controls: Six permission levels for granular team access control with IP whitelisting for network-level security
Audit Logs: 15-day API activity retention for compliance reporting and security monitoring
On-Premise Options: Private cloud and complete on-premise deployment available for air-gapped environments and complete data sovereignty
AI Training Privacy: Models trained on anonymized customer interactions with PII masking at data layer before processing
Basic Plan (AWS Marketplace): ~$10,000/year minimum for single use case implementation with limited channel access
Standard Plan: ~$25,000/year for up to 4 use cases with expanded capabilities and additional channels
Enterprise Plan: Custom pricing requiring sales engagement - unlimited bots, channels, integrations with dedicated support and SLA guarantees
Implementation Timeline: Typically 4 months from contract to full deployment with professional services included (G2 user data)
Additional Costs: Voice AI features and advanced generative AI capabilities incur separate charges beyond base platform subscription
Sales-Led Process: All paid plans beyond free tier require sales contact - no self-service purchasing or transparent public pricing
Payment Terms: Annual contracts standard for commercial plans with monthly billing unavailable for most tiers
Entry Barrier: $10K minimum annual spend creates significant barrier for small businesses, startups, and individual developers
On-Premise Pricing: Custom enterprise pricing for private cloud and on-premise deployments with additional implementation costs
Regional Variations: Pricing may vary by selected data center region and compliance requirements
Scale Justification: 16 billion+ conversations annually and enterprise customer base (Sony, Domino's, Hyundai) validates high-end positioning
Standard Plan: $99/month or $89/month annual - 10 custom chatbots, 5,000 items per chatbot, 60 million words per bot, basic helpdesk support, standard security
View Pricing
Premium Plan: $499/month or $449/month annual - 100 custom chatbots, 20,000 items per chatbot, 300 million words per bot, advanced support, enhanced security, additional customization
Enterprise Plan: Custom pricing - Comprehensive AI solutions, highest security and compliance, dedicated account managers, custom SSO, token authentication, priority support with faster SLAs
Enterprise Solutions
7-Day Free Trial: Full access to Standard features without charges - available to all users
Annual billing discount: Save 10% by paying upfront annually ($89/mo Standard, $449/mo Premium)
Flat monthly rates: No per-query charges, no hidden costs for API access or white-labeling (included in all plans)
Managed infrastructure: Auto-scaling cloud infrastructure included - no additional hosting or scaling fees
Support & Documentation
4.9/5 customer support rating on G2 (exceptional for pricing tier)
Email support: Available on all plans including free tier
Priority support: Professional and Business plans with faster response times
Dedicated account manager: Business plan ($399/month) includes personal contact
Knowledge base: Comprehensive help center with guides and tutorials
Video tutorials: Step-by-step implementation guides for common scenarios
Community: User community for best practices sharing and tips
Live chat support: Available during business hours for quick questions
Response time: Fast responses noted by users (typically within hours, not days)
Limitations: No 24/7 support on lower tiers, no SLA guarantees on response times
Multi-Channel Support: Email, live chat, phone support with tier-based response time guarantees
Enterprise Support: Dedicated customer success managers, priority support queues, SLA guarantees with 1-hour response times on critical issues
Professional Services: Implementation services included in enterprise packages with typical 4-month deployment timeline and project management
Documentation Portal: Available at docs.yellow.ai with API references, integration guides, mobile SDK documentation with code examples
Mobile SDK Resources: Comprehensive Android, iOS, React Native, Flutter, Cordova documentation with complete code examples, Postman collections, demo applications
Training & Onboarding: Included in enterprise packages with dedicated training resources and guided implementation support
Community Forums: Available for peer support, knowledge sharing, and best practices discussion among Yellow.ai users
Gartner Recognition: Magic Quadrant 'Challenger' status (2023/2025) provides third-party analyst validation and market positioning
Customer Base: Enterprise brands including Sony, Domino's, Hyundai, Volkswagen, Ferrellgas deployed across 85+ countries
G2 Feedback: 4.4/5 overall (106 reviews) with 9.3/10 customization, 9.2/10 proactive engagement - mixed post-onboarding support quality noted
Documentation Gaps: Web SDK documentation criticized as "hit and miss" by reviewers - mobile SDKs better documented than web integration
Learning Curve: Steep complexity curve noted by users - G2 reviewer: "Setup felt akin to solving a Rubik's cube blindfolded"
Developer Resources: Strong mobile SDK documentation, weak Python SDK (doesn't exist), limited API cookbook/advanced tutorial content
Documentation hub: Rich docs, tutorials, cookbooks, FAQs, API references for rapid onboarding
Developer Docs
Email and in-app support: Quick support via email and in-app chat for all users
Premium support: Premium and Enterprise plans include dedicated account managers and faster SLAs
Code samples: Cookbooks, step-by-step guides, and examples for every skill level
API Documentation
Active community: User community plus 5,000+ app integrations through Zapier ecosystem
Regular updates: Platform stays current with ongoing GPT and retrieval improvements automatically
Limitations & Considerations
No compliance certifications: Missing SOC 2, HIPAA, ISO 27001, PCI DSS, FedRAMP - unsuitable for regulated industries (healthcare, finance, government)
No native cloud storage: No Google Drive, Dropbox, or Notion integrations - requires manual export or API setup
Storage limits: 11M character limit can fill quickly with comprehensive enterprise documentation (e.g., 100+ article knowledge bases)
Model performance variance: Users report GPT-4 works best, Claude/Gemini show inconsistencies and hallucinations
No voice/IVR capabilities: No phone integration or voice bot features unlike UChat or Zendesk
No SMS support: Text messaging requires third-party integration
Developer experience: No official SDKs in any language (Python, JavaScript, etc.), basic REST API documentation only
Analytics limitations: Less advanced than enterprise platforms (no predictive insights or AI-powered recommendations)
Best for: SMBs prioritizing value and multi-LLM access over enterprise certifications and advanced features
NOT a RAG-as-a-Service Platform: Full-stack enterprise conversational AI with embedded RAG - cannot use Yellow.ai purely as knowledge/RAG backend for custom applications
No API-First Development: Cannot programmatically create bots/agents, upload documents, manage knowledge bases, or directly query RAG endpoints - platform-centric architecture
Missing Developer Tools: No Python SDK (major gap for backend developers), no npm package for web SDK (script tag injection only), no OpenAPI specification published
Knowledge Ingestion Gaps: No Google Drive, Dropbox, Notion integration support - significant gap vs competitors like CustomGPT and YourGPT
YouTube & Audio Limitations: No YouTube transcript ingestion, no native audio/video file processing support
High Entry Barrier: $10K-$25K annual minimum with 4-month implementation timeline vs competitors offering $19-99/month self-service tiers
Use Case Mismatch: Excellent for enterprises needing omnichannel CX automation; poor fit for developers seeking programmable RAG APIs or simple chatbot embedding
Vendor Lock-In Risk: Proprietary platform with limited portability - difficult to migrate conversation flows, knowledge bases, and integrations to alternative solutions
Managed service approach: Less control over underlying RAG pipeline configuration compared to build-your-own solutions like LangChain
Vendor lock-in: Proprietary platform - migration to alternative RAG solutions requires rebuilding knowledge bases
Model selection: Limited to OpenAI (GPT-5.1 and 4 series) and Anthropic (Claude, opus and sonnet 4.5) - no support for other LLM providers (Cohere, AI21, open-source models)
Pricing at scale: Flat-rate pricing may become expensive for very high-volume use cases (millions of queries/month) compared to pay-per-use models
Customization limits: While highly configurable, some advanced RAG techniques (custom reranking, hybrid search strategies) may not be exposed
Language support: Supports 90+ languages but performance may vary for less common languages or specialized domains
Real-time data: Knowledge bases require re-indexing for updates - not ideal for real-time data requirements (stock prices, live inventory)
Enterprise features: Some advanced features (custom SSO, token authentication) only available on Enterprise plan with custom pricing
Core Agent Features
AI agent transformation: Transform chatbots into powerful AI agents that seamlessly perform tasks through natural conversational interactions
Zapier AI Actions integration: Deploy AI agents that automate tasks, streamline workflows, and perform real-world business actions with ease
Mid-conversation app calling: Bots can call thousands of apps mid-chat to check orders, book appointments, send emails without leaving conversation
Natural language understanding: AI models designed to understand and respond naturally making conversations feel human-like and helpful
95 languages support: Assist users in their preferred language automatically for global customer engagement
Advanced model options: OpenAI, Google, and Anthropic's Claude 3.5 for nuanced conversational abilities
Effortless lead collection: Gather contact details during conversations with automatic multi-email address sending
Seamless CRM connectivity: Connect to over 7,000 apps using Zapier or Make integrations to collect leads and send to CRM platforms
No-code conversational AI: Create sophisticated conversational AI agents without writing a single line of code
Business knowledge integration: Knows everything about your business and chats directly to customers in friendly conversational manner
Massive Scale: 16 billion+ conversations processed annually across enterprise deployments
Multi-Lingual: 135+ languages supported with regional variants (Komodo-7B for 11+ Indonesian languages)
Hallucination Prevention: YellowG LLM claims <1% hallucination rate vs GPT-3's 22.7% in vendor benchmarks
Dynamic AI Agent: Zero-training deployment with automatic model routing and next-action determination
Multi-Intent Detection: Handles complex user queries with context-aware orchestration across conversation turns
Response Speed: 0.6-second average response time (YellowG LLM performance claim)
Automatic Guardrails: Policy compliance and response relevance filtering from deployment without manual configuration
Case Study Performance: Lulu Hypermarket 3M+ unique users in 4 weeks, Sony 21,000+ voice calls in 2 months
Custom AI Agents: Build autonomous agents powered by GPT-4 and Claude that can perform tasks independently and make real-time decisions based on business knowledge
Decision-Support Capabilities: AI agents analyze proprietary data to provide insights, recommendations, and actionable responses specific to your business domain
Multi-Agent Systems: Deploy multiple specialized AI agents that can collaborate and optimize workflows in areas like customer support, sales, and internal knowledge management
Memory & Context Management: Agents maintain conversation history and persistent context for coherent multi-turn interactions
View Agent Documentation
Tool Integration: Agents can trigger actions, integrate with external APIs via webhooks, and connect to 5,000+ apps through Zapier for automated workflows
Hyper-Accurate Responses: Leverages advanced RAG technology and retrieval mechanisms to deliver context-aware, citation-backed responses grounded in your knowledge base
Continuous Learning: Agents improve over time through automatic re-indexing of knowledge sources and integration of new data without manual retraining
R A G-as-a- Service Assessment
Platform type: CONVERSATIONAL AI PLATFORM WITH RAG (not pure RAG-as-a-Service) - chatbot builder with integrated knowledge retrieval
Data source flexibility: Good - Website crawling with configurable depth, document upload (PDF, DOCX, TXT, CSV), audio/video ingestion, plain text input, sitemap support
LLM model options: Excellent - OpenAI (GPT-4, GPT-4 Turbo, GPT-3.5 Turbo), Anthropic Claude 3 (Opus, Sonnet, Haiku), Google Gemini Pro 1.5, Meta Llama 3.1 with user selection per chatbot
Knowledge base management: 11M character storage limit (Starter+), auto-retrain scheduling (daily, weekly, monthly), conversation memory for context retention
API-first architecture: Weak - REST API available on Professional ($99/mo) and above, no official SDKs, basic documentation, no Swagger/OpenAPI spec
Performance benchmarks: ~85% accuracy with optimal model selection (GPT-4), real-time streaming responses, ~99.5% uptime estimated from user feedback (no published SLA)
RAG accuracy: GPT-4 highest accuracy/consistency, Claude 3/Gemini Pro show mixed results with inconsistencies noted in user reviews
Self-service AI pricing: Excellent - $19.99/month for GPT-4, Claude, Gemini access (best value in market vs competitors at $50-100/month)
Compliance & certifications: Poor - GDPR/CCPA compliant, data encryption, SSL/TLS but NO SOC 2, HIPAA, ISO 27001, PCI DSS, FedRAMP
Integration ecosystem: Excellent - 80+ native integrations (no Zapier/Make required) including WhatsApp, Messenger, Instagram, Shopify, Stripe, HubSpot, Salesforce
Best for: SMBs, agencies, e-commerce stores prioritizing value, multi-LLM access, and native integrations over enterprise RAG features and certifications
Not suitable for: Regulated industries (healthcare, finance), enterprises requiring certifications, advanced RAG parameter controls, voice/IVR use cases
Platform Type: NOT A RAG-AS-A-SERVICE PLATFORM - Full-stack enterprise conversational AI with embedded RAG
Critical Distinction: RAG functions as embedded feature, not exposed API service - cannot use Yellow.ai purely as knowledge/RAG backend
Document Cognition: 75-85% accuracy with T5 model fine-tuned on SQuAD/TriviaQA for Q&A extraction
Knowledge Architecture: Closed system - no direct RAG query endpoints, embedding access, or vector store API
API Limitations: No programmatic document upload, knowledge base management, or direct retrieval capabilities
Query Flow: Queries must flow through platform conversation flows vs direct API calls to knowledge backend
Core Architecture: Serverless RAG infrastructure with automatic embedding generation, vector search optimization, and LLM orchestration fully managed behind API endpoints
API-First Design: Comprehensive REST API with well-documented endpoints for creating agents, managing projects, ingesting data (1,400+ formats), and querying chat
API Documentation
Developer Experience: Open-source Python SDK (customgpt-client), Postman collections, OpenAI API endpoint compatibility, and extensive cookbooks for rapid integration
No-Code Alternative: Wizard-style web dashboard enables non-developers to upload content, brand widgets, and deploy chatbots without touching code
Hybrid Target Market: Serves both developer teams wanting robust APIs AND business users seeking no-code RAG deployment - unique positioning vs pure API platforms (Cohere) or pure no-code tools (Jotform)
RAG Technology Leadership: Industry-leading answer accuracy (median 5/5 benchmarked), 1,400+ file format support with auto-transcription, proprietary anti-hallucination mechanisms, and citation-backed responses
Benchmark Details
Deployment Flexibility: Cloud-hosted SaaS with auto-scaling, API integrations, embedded chat widgets, ChatGPT Plugin support, and hosted MCP Server for Claude/Cursor/ChatGPT
Enterprise Readiness: SOC 2 Type II + GDPR compliance, full white-labeling, domain allowlisting, RBAC with 2FA/SSO, and flat-rate pricing without per-query charges
Use Case Fit: Ideal for organizations needing both rapid no-code deployment AND robust API capabilities, teams handling diverse content types (1,400+ formats, multimedia transcription), and businesses requiring production-ready RAG without building ML infrastructure from scratch
Competitive Positioning: Bridges the gap between developer-first platforms (Cohere, Deepset) requiring heavy coding and no-code chatbot builders (Jotform, Kommunicate) lacking API depth - offers best of both worlds
Additional Considerations
Free plan limitations: Only 50 messages per month suitable for testing rather than real-world production use
Not suitable for complex flows: Limited ability for intricate multi-step "if-this-then-that" logic like classic Messenger marketing bots
Training time investment: Bot training and customization take time to master for optimal performance
Limited Meta integration: Limited ability to integrate with Meta (Facebook) content lessens overall tool value for social media marketing
Company maturity: Founded in 2022, still building long-term enterprise track record vs more established players - consideration for very large corporations
Scalability evaluation: Businesses should evaluate whether pricing model accommodates growth without becoming prohibitively expensive
Custom plans available: Enterprise needs can be accommodated with custom pricing and fully managed services
Managed services offering: For large teams with advanced needs, FastBots offers fully managed services handling strategy, setup, training, and ongoing improvements
Strategic advantage: Unmatched flexibility with choice of LLMs and data sources distinguishes from competitors with locked-in models
Platform Classification: ENTERPRISE CONVERSATIONAL AI PLATFORM with RAG capabilities, NOT a pure RAG-as-a-Service API platform - emphasis on multi-channel automation and workflow orchestration
Target Audience: Mid-market to enterprise organizations (1,000+ employees) with complex conversational workflows vs individual developers or SMBs requiring simple knowledge retrieval
Primary Strength: Exceptional for enterprise-grade conversational AI across 35+ channels (WhatsApp, voice, web, social) with 150+ language support and 60%+ automation rates in regulated industries
Vertical Expertise: 50% customer concentration in financial services with deep BFSI (Banking, Financial Services, Insurance) domain knowledge and compliance capabilities (PCI DSS, SOC 2, ISO 27001, GDPR, HIPAA)
Voice AI Excellence: Real-time voice agents in 50+ languages with sentiment analysis, IVR integration, call center deflection capabilities differentiate from text-only RAG platforms
CRITICAL LIMITATION - Enterprise Sales Motion: Custom pricing requires sales engagement (2-6 week cycle) with no self-serve option - unsuitable for quick testing or developer experimentation
CRITICAL LIMITATION - Pricing Opacity: No published pricing, user reviews report costs 'much higher than competitors', estimated $1,500-$3,500/month minimum vs $99-$299 in RAG platforms
CRITICAL LIMITATION - Implementation Complexity: 8-12 week implementation timelines common with mandatory professional services vs instant deployment in self-serve platforms
Developer API Limitations: APIs oriented toward conversation orchestration vs programmatic RAG operations (semantic search, embedding controls, retrieval configuration)
Lock-In Concerns: Heavy professional services dependency and complex multi-system integrations create significant switching costs vs API-first RAG platforms
Use Case Mismatch: Exceptional for large-scale enterprise conversational AI deployments across multiple channels; inappropriate for simple document Q&A or developer-centric RAG use cases
Slashes engineering overhead with an all-in-one RAG platform—no in-house ML team required.
Gets you to value quickly: launch a functional AI assistant in minutes.
Stays current with ongoing GPT and retrieval improvements, so you’re always on the latest tech.
Balances top-tier accuracy with ease of use, perfect for customer-facing or internal knowledge projects.
Visual flow builder: Drag-and-drop conversation design with no coding required for creating chatbot workflows
Tone and personality: Configurable via system prompts to match brand voice and communication style
Greeting messages: Customize initial bot message and icebreakers for welcoming user experience
Multi-language support: 95+ languages with automatic translation for global customer bases
Knowledge source control: Decide what chatbot knows - uploaded information (files, docs, brand tone), ChatGPT general knowledge, or live internet search for real-time info
Auto-retrain scheduling: Configurable daily, weekly, or monthly knowledge base updates for content freshness
Conversation flow builder: Visual drag-and-drop interface for designing conversation paths
Custom forms: Lead capture with custom fields and field validation for data collection
Lead qualification: Score and route leads based on responses for sales prioritization
Intelligent routing: Assign different models to different conversation scenarios (GPT-4 for complex, GPT-3.5 for simple) for cost optimization
Military-grade encryption: All uploaded data secured with military-grade encryption for data protection
Agent Profile & Persona: Configure name, role, scope, tone (formal/friendly/witty), communication style, expertise areas defining core agent identity
Conversation Rules: Define custom rules guiding agent behavior in specific situations ensuring consistent interactions and brand voice compliance
Welcome Messages & Greetings: Personalized welcome messages for different channels, user segments, and conversation contexts with dynamic variable substitution
Fallback Behaviors: Configurable responses for knowledge gaps, API failures, validation errors, low-confidence scenarios with escalation path options
Multi-KB Support: Multiple knowledge bases per organization with role-based access, departmental segregation, and cross-KB search capabilities
Auto-Reindexing: Automatic knowledge base refresh when source content changes in connected systems ensuring always-current information
Dynamic Prompt Engineering: Custom system prompts, temperature controls, response length limits, creativity settings configurable per use case
Channel-Specific Customization: Different agent behaviors, response formats, media handling per channel (WhatsApp, voice, web, email)
CRITICAL LIMITATION - Opaque RAG Implementation: Retrieval mechanisms, embedding models, chunking strategies, similarity thresholds not exposed for developer configuration
CRITICAL LIMITATION - NO Programmatic Knowledge API: Knowledge base management requires UI interaction - no API for document upload, embedding updates, or retrieval tuning
Lets you add, remove, or tweak content on the fly—automatic re-indexing keeps everything current.
Shapes agent behavior through system prompts and sample Q&A, ensuring a consistent voice and focus.
Learn How to Update Sources
Supports multiple agents per account, so different teams can have their own bots.
Balances hands-on control with smart defaults—no deep ML expertise required to get tailored behavior.
Customization & Flexibility
N/A
Knowledge Updates: Manual via UI only - no API for programmatic document upload or management
After analyzing features, pricing, performance, and user feedback, both Fastbots and Yellow.ai are capable platforms that serve different market segments and use cases effectively.
When to Choose Fastbots
You value best value for multi-llm access - $19.99/month for gpt-4, claude, and gemini (vs competitors at $50-100/month)
80+ native integrations eliminate need for Zapier/Make middleware (saves $20-50/month)
Exceptional customer support - 4.9/5 rating with fast response times
Best For: Best value for multi-LLM access - $19.99/month for GPT-4, Claude, and Gemini (vs competitors at $50-100/month)
When to Choose Yellow.ai
You value genuinely comprehensive 35+ channel coverage: whatsapp bsp, messenger, instagram, telegram, slack, teams, voice, sms
Switching between Fastbots and Yellow.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
Fastbots starts at $19.99/month, while Yellow.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
Start with a free trial - Both platforms offer trial periods to test with your actual data
Define success metrics - Response accuracy, latency, user satisfaction, cost per query
Test with real use cases - Don't rely on generic demos; use your production data
Evaluate total cost - Factor in implementation time, training, and ongoing maintenance
Check vendor stability - Review roadmap transparency, update frequency, and support quality
For most organizations, the decision between Fastbots and Yellow.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: December 11, 2025 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.
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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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